DPCS 1.0 Specification¶

Status: Draft\ Version: 1.0.0-draft

Chapter 1 --- Introduction¶

1. Purpose¶

This chapter defines the purpose, scope, objectives, and foundational principles of the Data Pipeline Contract Standard (DPCS).

DPCS is an implementation-independent specification for describing portable, contract-first data pipelines. A DPCS Pipeline Contract defines the logical structure of a pipeline, the relationships between its constituent steps, the contracts that govern its inputs and outputs, and the semantic guarantees that SHALL be preserved regardless of the orchestration technology used to execute it.

Unless explicitly identified as informative, every requirement in this chapter is normative.

2. Scope¶

DPCS specifies Pipeline Contracts, pipeline interfaces, pipeline graphs, pipeline steps, contract references, execution requirements, scheduling intent, quality gates, failure semantics, lineage, compatibility, diagnostics, and conformance.

DPCS does not prescribe workflow engines, schedulers, execution runtimes, storage systems, or programming languages.

3. Design Goals¶

The DPCS specification SHALL be:

implementation independent
contract first
platform neutral
deterministic where declared
machine readable
extensible
interoperable
version aware

4. Non-Goals¶

This specification SHALL NOT:

define dataset schemas
define transformation semantics
prescribe workflow engine internals
require a specific orchestration technology
define scheduling algorithms
mandate infrastructure providers

5. Relationship to Other Standards¶

ODCS defines what data is.

DTCS defines how data changes.

DPCS defines how validated transformations compose into complete data pipelines.

ODCS
(Data Contracts)
      │
      ▼
DTCS
(Transformation Contracts)
      │
      ▼
DPCS
(Pipeline Contracts)

6. Architectural Principles¶

Pipeline definition is independent of execution.
Pipeline semantics are independent of orchestration technology.
Contracts are the authoritative source of pipeline behavior.
Planning and orchestration are distinct processing phases.
Observable behavior SHALL be preserved across conforming implementations.

7. Processing Model¶

Pipeline Contract
        │
        ▼
Canonical Object Model
        │
        ▼
Validation
        │
        ▼
Pipeline Plan
        │
        ▼
Orchestrator Binding
        │
        ▼
Execution Runtime

8. Conformance Language¶

The key words SHALL, SHALL NOT, SHOULD, SHOULD NOT, and MAY are to be interpreted as described by RFC 2119 and RFC 8174 when presented in uppercase.

9. Audience¶

This specification is intended for standards authors, platform architects, data engineers, orchestration engine developers, compiler authors, tooling vendors, and governance teams.

10. Summary¶

The Data Pipeline Contract Standard establishes a portable, implementation-independent model for describing complete data pipelines as contracts rather than implementations. By separating pipeline definition from orchestration technology, DPCS enables organizations to validate, govern, analyze, version, and migrate pipelines while preserving semantic intent across heterogeneous execution platforms.

Chapter 2 --- Core Concepts¶

1. Purpose¶

This chapter defines the normative core concepts of the Data Pipeline Contract Standard (DPCS).

The concepts defined in this chapter establish the common vocabulary used throughout the specification. Conforming implementations SHALL interpret these concepts consistently.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Pipeline¶

A Pipeline is a logical composition of one or more processing steps that transform one or more input datasets into one or more output datasets.

A Pipeline SHALL be described by a Pipeline Contract.

A Pipeline is independent of any specific orchestration technology or execution environment.

3. Pipeline Contract¶

A Pipeline Contract is the normative description of a Pipeline.

A Pipeline Contract SHALL define the pipeline identity, interfaces, graph, step definitions, contract references, execution requirements, and any additional information required by this specification.

The Pipeline Contract is the authoritative source of pipeline semantics.

4. Pipeline Step¶

A Pipeline Step is an addressable unit of work within a Pipeline.

Each Pipeline Step SHALL possess a stable identifier.

A Pipeline Step MAY reference:

a DTCS Transformation Contract
a nested Pipeline Contract
an implementation-defined operation through an extension

5. Pipeline Graph¶

A Pipeline Graph defines the dependency relationships among Pipeline Steps.

The Pipeline Graph SHALL express logical execution dependencies rather than implementation-specific scheduling behavior.

6. Pipeline Interface¶

A Pipeline Interface defines the externally visible inputs and outputs of a Pipeline.

Interfaces SHALL establish the contractual boundary between a Pipeline and external systems.

7. Contract References¶

Pipeline Contracts SHALL reference external contracts rather than duplicate their semantics.

References MAY include:

Data Contracts
Transformation Contracts
Pipeline Contracts

Referenced contracts retain their own identities, versions, and compatibility requirements.

8. Pipeline Plan¶

A Pipeline Plan is the canonical, implementation-independent representation of a validated Pipeline Contract.

The Pipeline Plan SHALL preserve the semantic intent of the originating Pipeline Contract.

9. Orchestrator Binding¶

An Orchestrator Binding translates a Pipeline Plan into an implementation-specific representation suitable for a target orchestration platform.

Bindings SHALL preserve the observable semantics of the Pipeline Plan.

10. Execution Runtime¶

An Execution Runtime executes an Orchestrator Binding.

Runtime behavior is outside the scope of this specification except where necessary to preserve contractual semantics.

11. Semantic Preservation¶

Throughout processing, conforming implementations SHALL preserve:

pipeline identity
declared interfaces
dependency relationships
contract references
lineage
observable behavior

Implementation details MAY differ provided these semantics remain equivalent.

12. Summary¶

The concepts defined in this chapter form the conceptual foundation of DPCS. They establish a clear separation between pipeline definition, planning, orchestration, and execution, enabling portable, contract-first pipelines across heterogeneous platforms.

Chapter 3 --- Canonical Object Model¶

1. Purpose¶

This chapter defines the normative Canonical Object Model (COM) for the Data Pipeline Contract Standard (DPCS).

The Canonical Object Model is the authoritative in-memory representation of a Pipeline Contract. Every conforming implementation SHALL construct or operate on a logically equivalent Canonical Object Model regardless of the source serialization format.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Canonical Object Model SHALL be:

implementation independent
serialization independent
deterministic
machine readable
extensible
version aware

The Canonical Object Model SHALL preserve the complete semantic meaning of a Pipeline Contract.

3. Canonical Representation¶

A Pipeline Contract SHALL be transformed into a Canonical Object Model before semantic validation, planning, compatibility analysis, or orchestrator binding.

Equivalent Pipeline Contracts expressed in different serialization formats SHALL produce semantically equivalent Canonical Object Models.

4. Root Object¶

The root object SHALL represent a single Pipeline Contract.

The root object SHALL include:

pipeline identity
metadata
interface definitions
pipeline graph
pipeline steps
contract references
execution requirements
quality gates
lineage information
extension data

Additional fields MAY be defined through the DPCS Extensibility Model.

5. Object Identity¶

Every addressable object within the Canonical Object Model SHALL possess a stable identity within the scope of the Pipeline Contract.

Identifiers SHALL remain stable throughout parsing, validation, planning, and orchestrator binding.

6. Object Relationships¶

Relationships between objects SHALL be represented explicitly.

Implementations SHALL preserve:

parent-child relationships
graph relationships
contract references
dependency relationships
lineage relationships

Relationship semantics SHALL NOT depend upon serialization order.

7. Serialization Independence¶

The Canonical Object Model SHALL NOT depend upon any specific serialization format.

Equivalent YAML, JSON, TOML, XML, or future serializations SHALL produce equivalent Canonical Object Models when expressing equivalent Pipeline Contracts.

8. Extension Preservation¶

Unknown extension fields SHALL be preserved when permitted by the DPCS Extensibility Model.

Extension preservation SHALL NOT modify standardized semantics.

9. Validation Requirements¶

Implementations SHALL validate:

required objects
identifier uniqueness
relationship consistency
graph integrity
reference integrity
extension structure

Validation failures SHALL produce standardized Diagnostics.

10. Semantic Preservation¶

Construction of the Canonical Object Model SHALL preserve:

pipeline identity
pipeline interfaces
graph topology
step definitions
contract references
declared execution intent

Construction SHALL NOT introduce observable semantic changes.

11. Conformance¶

A conforming implementation SHALL:

construct a semantically equivalent Canonical Object Model
preserve object identity
preserve object relationships
preserve extension information where required
reject structurally invalid Pipeline Contracts through standardized Diagnostics

12. Summary¶

The Canonical Object Model provides the semantic foundation for all subsequent DPCS processing. By separating serialization from semantics, DPCS enables independent implementations to perform validation, planning, compatibility analysis, and orchestrator binding using a common, implementation-independent representation.

Chapter 4 --- Pipeline Interface¶

1. Purpose¶

This chapter defines the normative Pipeline Interface Model for the Data Pipeline Contract Standard (DPCS).

A Pipeline Interface specifies the externally visible inputs and outputs of a Pipeline Contract. Interfaces establish the contractual boundary between a pipeline and the systems, datasets, services, or pipelines with which it interacts.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Pipeline Interface Model SHALL be:

implementation independent
contract first
machine readable
deterministic
version aware
extensible

Pipeline interfaces SHALL describe observable behavior without prescribing execution details.

3. Interface Model¶

Every Pipeline Contract SHALL define one Pipeline Interface.

A Pipeline Interface SHALL describe:

pipeline inputs
pipeline outputs
interface identifiers
contract references
metadata required by this specification

The interface SHALL represent the complete external boundary of the Pipeline Contract.

4. Pipeline Inputs¶

Pipeline inputs identify the external datasets, streams, events, or artifacts consumed by a pipeline.

Each input SHALL possess:

a stable identifier
an interface name
a declared contract reference
a logical purpose

Inputs MAY reference:

Data Contracts
external systems
outputs from other Pipeline Contracts

5. Pipeline Outputs¶

Pipeline outputs identify the externally visible products produced by a pipeline.

Each output SHALL possess:

a stable identifier
an interface name
a declared contract reference
a logical purpose

Outputs SHALL represent the observable results of successful pipeline execution.

6. Contract References¶

Inputs and outputs SHOULD reference external contracts rather than duplicate their definitions.

Referenced contracts SHALL retain independent identities, versions, and compatibility requirements.

Implementations SHALL validate referenced contracts according to applicable DPCS profiles.

7. Interface Compatibility¶

Interface compatibility SHALL be evaluated independently of execution technology.

Compatibility analysis SHOULD consider:

referenced contracts
interface identity
logical types
required inputs
declared outputs

Version identifiers alone SHALL NOT determine compatibility.

8. Interface Validation¶

Implementations SHALL validate:

required inputs
required outputs
identifier uniqueness
contract references
interface completeness

Validation failures SHALL produce standardized Diagnostics.

9. Semantic Preservation¶

Parsing, validation, planning, orchestrator binding, and execution SHALL preserve:

interface identity
declared inputs
declared outputs
contract references
observable interface behavior

Implementations SHALL NOT introduce observable interface changes unless explicitly authorized by the Pipeline Contract.

10. Extensibility¶

The Pipeline Interface MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized interface semantics and SHALL NOT redefine mandatory interface behavior.

11. Conformance¶

A conforming implementation SHALL:

preserve interface identity
preserve declared inputs and outputs
preserve contract references
validate interface integrity
reject invalid interfaces through standardized Diagnostics

12. Summary¶

The Pipeline Interface Model defines the contractual boundary between a Pipeline Contract and the systems with which it interacts.

By standardizing pipeline interfaces independently of orchestration technology, DPCS enables portable pipeline definitions whose externally observable behavior remains consistent across conforming implementations.

Chapter 5 --- Pipeline Graph¶

1. Purpose¶

This chapter defines the normative Pipeline Graph Model for the Data Pipeline Contract Standard (DPCS).

A Pipeline Graph describes the logical dependency relationships among Pipeline Steps. It defines how work is composed within a Pipeline Contract while remaining independent of any specific orchestration technology or execution strategy.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Pipeline Graph Model SHALL be:

implementation independent
deterministic
machine readable
analyzable
extensible
semantically preserving

The Pipeline Graph SHALL describe logical dependencies rather than implementation-specific scheduling behavior.

3. Graph Model¶

Every Pipeline Contract SHALL define exactly one Pipeline Graph.

The Pipeline Graph SHALL consist of:

Pipeline Steps
dependency relationships
graph metadata
graph entry points
graph exit points

The graph SHALL define the complete logical execution topology of the Pipeline Contract.

4. Graph Topology¶

The Pipeline Graph SHALL represent directed relationships between Pipeline Steps.

Each relationship SHALL explicitly identify:

source step
destination step
dependency type

The interpretation of dependency types SHALL be defined by this specification or approved extensions.

5. Directed Acyclic Graphs¶

The standard execution model for DPCS SHALL be a Directed Acyclic Graph (DAG).

Unless explicitly permitted by a DPCS profile or extension, Pipeline Graphs SHALL NOT contain cycles.

Implementations SHALL detect prohibited cycles during validation.

6. Branching and Merging¶

A Pipeline Graph MAY contain:

branches
merges
fan-out operations
fan-in operations

Branching semantics SHALL be explicitly represented within the graph structure and SHALL NOT depend upon serialization order.

7. Parallelism¶

Independent Pipeline Steps MAY execute concurrently.

The Pipeline Graph expresses logical dependencies only and SHALL NOT prescribe a scheduling algorithm or concurrency model.

Implementations MAY choose any execution strategy that preserves observable semantics.

8. Subgraphs¶

Pipeline Graphs MAY reference nested Pipeline Contracts.

Nested Pipeline Contracts SHALL preserve their own identities, interfaces, and semantic boundaries.

Implementations SHALL preserve parent-child relationships between Pipeline Graphs.

9. Graph Validation¶

Implementations SHALL validate:

graph completeness
identifier uniqueness
dependency integrity
prohibited cycles
unreachable Pipeline Steps
duplicate edges

Validation failures SHALL produce standardized Diagnostics.

10. Semantic Preservation¶

Parsing, validation, planning, orchestrator binding, and execution SHALL preserve:

graph topology
dependency relationships
branching behavior
merge behavior
observable execution semantics

Implementation optimizations SHALL NOT alter the logical meaning of the Pipeline Graph.

11. Extensibility¶

The Pipeline Graph MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized graph semantics and SHALL NOT redefine mandatory graph behavior.

12. Conformance¶

A conforming implementation SHALL:

construct a valid Pipeline Graph
preserve graph topology
preserve dependency relationships
detect prohibited cycles
reject invalid Pipeline Graphs through standardized Diagnostics

13. Summary¶

The Pipeline Graph Model provides the logical execution topology for a Pipeline Contract.

By separating dependency semantics from orchestration technology, DPCS enables portable, analyzable, and interoperable pipeline definitions whose observable behavior remains consistent across conforming implementations.

Chapter 6 --- Pipeline Steps¶

1. Purpose¶

This chapter defines the normative Pipeline Step Model for the Data Pipeline Contract Standard (DPCS).

A Pipeline Step is the fundamental executable unit within a Pipeline Contract. Pipeline Steps define what logical operation occurs within a pipeline while remaining independent of any specific orchestration platform or execution technology.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Pipeline Step Model SHALL be:

implementation independent
contract first
machine readable
deterministic where declared
composable
extensible

Pipeline Steps SHALL define logical behavior rather than implementation-specific execution.

3. Pipeline Step Model¶

Every Pipeline Step SHALL define:

a stable identifier
a step type
declared inputs
declared outputs
dependency relationships
execution metadata where required
extension metadata where applicable

Pipeline Steps SHALL exist only within the scope of a Pipeline Contract.

4. Step Identity¶

Each Pipeline Step SHALL possess a unique identifier within its Pipeline Contract.

Identifiers SHALL remain stable throughout parsing, validation, planning, orchestrator binding, and execution.

Published identifiers SHOULD NOT be reused for different logical operations.

5. Step Types¶

A Pipeline Step MAY represent:

a DTCS Transformation Contract
a nested Pipeline Contract
a data ingress operation
a data egress operation
an implementation-defined operation provided through a DPCS extension

The semantic meaning of every step type SHALL be explicitly defined.

6. Inputs and Outputs¶

Every Pipeline Step SHALL declare its logical inputs and outputs.

Inputs and outputs SHALL reference pipeline interfaces, intermediate datasets, or externally referenced contracts.

Implementations SHALL validate that every required input is satisfiable.

7. Dependency Relationships¶

Pipeline Steps SHALL declare logical dependencies through the Pipeline Graph defined in Chapter 5.

Dependencies SHALL express ordering constraints and SHALL NOT prescribe scheduling algorithms.

8. Nested Pipelines¶

A Pipeline Step MAY reference another Pipeline Contract.

Nested Pipeline Contracts SHALL preserve their own interfaces, identities, and semantic boundaries.

Implementations SHALL preserve parent-child relationships during planning and orchestrator binding.

9. Validation¶

Implementations SHALL validate:

step identity
step type
declared inputs
declared outputs
dependency consistency
referenced contracts
extension integrity

Validation failures SHALL produce standardized Diagnostics.

10. Semantic Preservation¶

Parsing, validation, planning, orchestrator binding, and execution SHALL preserve:

step identity
declared behavior
contract references
observable inputs and outputs
dependency semantics

Implementation-specific optimizations SHALL NOT alter the logical meaning of a Pipeline Step.

11. Extensibility¶

Pipeline Steps MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized Pipeline Step semantics and SHALL NOT redefine mandatory behavior established by this specification.

12. Conformance¶

A conforming implementation SHALL:

construct valid Pipeline Steps
preserve Pipeline Step identity
preserve declared interfaces
preserve dependency semantics
reject invalid Pipeline Steps through standardized Diagnostics

13. Summary¶

The Pipeline Step Model defines the fundamental building blocks from which Pipeline Contracts are composed.

By separating logical pipeline operations from execution technologies, DPCS enables portable, analyzable, and interoperable pipeline definitions that can be planned, validated, and bound to multiple orchestration platforms while preserving identical observable semantics.

Chapter 7 --- Contract References¶

1. Purpose¶

This chapter defines the normative Contract Reference Model for the Data Pipeline Contract Standard (DPCS).

Contract References enable a Pipeline Contract to compose existing contracts without duplicating their definitions. A Pipeline Contract SHALL reference external contracts through stable identifiers while preserving the independent lifecycle, versioning, and semantics of each referenced contract.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Contract Reference Model SHALL be:

implementation independent
contract first
machine readable
deterministic
version aware
extensible

Contract References SHALL promote composition rather than duplication.

3. Contract Reference Model¶

A Contract Reference identifies an external contract required by a Pipeline Contract.

A Contract Reference SHALL define:

reference identifier
contract type
contract location or resolution mechanism
version requirements
compatibility requirements where applicable

Contract References SHALL NOT embed the complete definition of the referenced contract unless explicitly permitted by a DPCS profile.

4. Supported Contract Types¶

DPCS recognizes the following contract types:

Data Contracts (ODCS)
Transformation Contracts (DTCS)
Pipeline Contracts (DPCS)
Extension-defined contract types

Each referenced contract SHALL preserve its own normative semantics.

5. Reference Resolution¶

Implementations SHALL resolve Contract References before pipeline planning.

Resolution MAY occur through:

local files
registries
package repositories
network services
implementation-defined mechanisms

The resolution mechanism SHALL NOT alter the semantic meaning of the referenced contract.

6. Version and Compatibility¶

Every Contract Reference SHOULD declare version requirements.

Implementations SHALL evaluate compatibility independently of version identifiers.

A resolved contract SHALL satisfy all mandatory compatibility requirements before successful validation.

7. Identity Preservation¶

Referenced contracts SHALL retain:

contract identity
version identity
compatibility declarations
extension metadata

Pipeline Contracts SHALL NOT redefine the semantics of referenced contracts.

8. Validation¶

Implementations SHALL validate:

reference syntax
contract type
identifier integrity
version requirements
compatibility requirements
successful resolution

Validation failures SHALL produce standardized Diagnostics.

9. Semantic Preservation¶

Parsing, validation, planning, orchestrator binding, and execution SHALL preserve:

reference identity
referenced contract identity
compatibility declarations
observable contract semantics

Implementations SHALL NOT substitute semantically incompatible contracts without explicit authorization.

10. Extensibility¶

The Contract Reference Model MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized reference semantics and SHALL NOT redefine mandatory behavior established by this specification.

11. Conformance¶

A conforming implementation SHALL:

preserve Contract Reference identity
resolve mandatory references
validate version and compatibility requirements
preserve referenced contract semantics
reject invalid Contract References through standardized Diagnostics

12. Summary¶

The Contract Reference Model enables Pipeline Contracts to compose reusable Data Contracts, Transformation Contracts, and Pipeline Contracts while preserving their independent identities and semantics.

By standardizing contract composition rather than duplication, DPCS supports modular, portable, and governable pipeline definitions across heterogeneous execution environments.

Chapter 8 --- Data Flow¶

1. Purpose¶

This chapter defines the normative Data Flow Model for the Data Pipeline Contract Standard (DPCS).

The Data Flow Model specifies how datasets move through a Pipeline Contract. It describes logical movement and dependency relationships independently of storage systems, transport mechanisms, execution engines, or orchestration technologies.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Data Flow Model SHALL be:

implementation independent
contract first
deterministic
machine readable
analyzable
extensible

Data Flow SHALL describe logical movement rather than physical implementation.

3. Data Flow Model¶

A Data Flow connects Pipeline Interfaces and Pipeline Steps through explicitly declared dataset relationships.

Every Data Flow SHALL define:

source
destination
dataset identity
associated contract reference
flow metadata where required

Implementations SHALL preserve the declared Data Flow throughout processing.

4. Dataset Identity¶

Every dataset participating in a Pipeline Contract SHALL possess a stable logical identity.

Dataset identities SHALL remain stable across validation, planning, orchestrator binding, and execution.

Physical storage locations SHALL NOT define dataset identity.

5. Sources and Destinations¶

A Data Flow MAY originate from:

a Pipeline Interface input
a Pipeline Step output
a nested Pipeline Contract output

A Data Flow MAY terminate at:

a Pipeline Step input
a Pipeline Interface output
a nested Pipeline Contract input

Every endpoint SHALL be explicitly identified.

6. Intermediate Datasets¶

Pipeline Steps MAY produce intermediate datasets.

Intermediate datasets SHALL:

possess stable logical identities
participate in dependency analysis
preserve lineage relationships

Intermediate datasets MAY or MAY NOT be physically materialized.

7. Materialization¶

Whether a dataset is materialized is an implementation decision unless explicitly required by a Pipeline Contract or DPCS profile.

Materialization SHALL NOT change the observable semantics of the Pipeline Contract.

8. Data Dependencies¶

Data Flow SHALL establish logical dependencies between Pipeline Steps.

Implementations SHALL use declared Data Flow relationships during planning and validation.

Dependency analysis SHALL be independent of execution technology.

9. Validation¶

Implementations SHALL validate:

dataset identity
source existence
destination existence
contract references
dependency consistency
unreachable datasets

Validation failures SHALL produce standardized Diagnostics.

10. Semantic Preservation¶

Parsing, validation, planning, orchestrator binding, and execution SHALL preserve:

dataset identity
declared flow relationships
dependency semantics
observable inputs and outputs
lineage

Implementation optimizations SHALL NOT alter logical Data Flow.

11. Extensibility¶

The Data Flow Model MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized Data Flow semantics and SHALL NOT redefine mandatory behavior established by this specification.

12. Conformance¶

A conforming implementation SHALL:

preserve dataset identities
preserve Data Flow relationships
validate flow integrity
preserve declared contract references
reject invalid Data Flow definitions through standardized Diagnostics

13. Summary¶

The Data Flow Model defines the logical movement of datasets through a Pipeline Contract.

By separating logical data movement from physical execution and storage, DPCS enables portable pipeline definitions that preserve identical observable semantics across heterogeneous orchestration platforms and execution environments.

Chapter 9 --- Control Flow¶

1. Purpose¶

This chapter defines the normative Control Flow Model for the Data Pipeline Contract Standard (DPCS).

The Control Flow Model specifies the logical ordering and coordination of Pipeline Steps within a Pipeline Contract. It defines execution intent independently of orchestration technologies, scheduling algorithms, or runtime implementations.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Control Flow Model SHALL be:

implementation independent
deterministic where declared
machine readable
analyzable
semantically preserving
extensible

Control Flow SHALL describe logical execution constraints rather than implementation-specific scheduling behavior.

3. Control Flow Model¶

Control Flow defines the logical ordering of Pipeline Steps.

Every Control Flow relationship SHALL be explicitly represented through the Pipeline Graph and associated dependency metadata.

Control Flow SHALL coordinate execution without modifying the semantic behavior of individual Pipeline Steps.

4. Sequential Execution¶

Pipeline Steps MAY execute sequentially.

Sequential execution SHALL require that predecessor steps complete successfully before dependent steps begin unless otherwise specified by a DPCS profile or extension.

Sequential relationships SHALL be explicitly represented.

5. Parallel Execution¶

Independent Pipeline Steps MAY execute concurrently.

Parallel execution SHALL be permitted only when no declared dependency relationship requires ordering.

Implementations MAY choose any scheduling strategy that preserves observable semantics.

6. Conditional Execution¶

A Pipeline Contract MAY define conditional execution paths.

Conditions SHALL be expressed declaratively.

Conditional behavior SHALL preserve deterministic semantics when equivalent inputs and evaluation contexts are provided.

7. Synchronization¶

Control Flow MAY require synchronization between Pipeline Steps.

Synchronization points SHALL explicitly identify the required predecessor relationships.

Synchronization semantics SHALL remain independent of orchestration technology.

8. Event-Driven Execution¶

Pipeline Contracts MAY declare that execution is initiated by one or more events.

Event definitions SHALL describe logical triggering conditions rather than implementation-specific event mechanisms.

9. Control Dependencies¶

Control dependencies SHALL define ordering constraints independently of Data Flow.

A Pipeline Contract MAY contain both Data Flow dependencies and Control Flow dependencies.

Implementations SHALL preserve both dependency models throughout planning and orchestrator binding.

10. Validation¶

Implementations SHALL validate:

control dependency integrity
unreachable Pipeline Steps
invalid conditional relationships
synchronization consistency
conflicting dependency declarations

Validation failures SHALL produce standardized Diagnostics.

11. Semantic Preservation¶

Parsing, validation, planning, orchestrator binding, and execution SHALL preserve:

declared execution ordering
conditional semantics
synchronization semantics
dependency relationships
observable pipeline behavior

Implementation optimizations SHALL NOT alter declared Control Flow semantics.

12. Extensibility¶

The Control Flow Model MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized Control Flow semantics and SHALL NOT redefine mandatory behavior established by this specification.

13. Conformance¶

A conforming implementation SHALL:

preserve Control Flow relationships
preserve dependency semantics
validate declared execution constraints
reject invalid Control Flow definitions through standardized Diagnostics

14. Summary¶

The Control Flow Model defines the logical coordination of Pipeline Steps within a Pipeline Contract.

By separating execution intent from orchestration technology, DPCS enables portable, analyzable, and interoperable pipeline definitions whose ordering constraints and observable behavior remain consistent across conforming implementations.

Chapter 10 --- Execution Requirements¶

1. Purpose¶

This chapter defines the normative Execution Requirements Model for the Data Pipeline Contract Standard (DPCS).

Execution Requirements describe the capabilities, constraints, and environmental assumptions necessary to execute a Pipeline Contract. These requirements define what a pipeline needs to execute correctly without prescribing how an implementation satisfies those needs.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Execution Requirements Model SHALL be:

implementation independent
platform neutral
machine readable
deterministic
analyzable
extensible

Execution Requirements SHALL describe execution constraints without defining orchestration behavior.

3. Execution Requirements Model¶

A Pipeline Contract MAY declare one or more Execution Requirements.

Execution Requirements MAY describe:

compute resources
memory requirements
storage requirements
networking requirements
execution environment
isolation requirements
external dependencies
implementation capabilities

Execution Requirements SHALL be treated as declarative constraints.

4. Resource Requirements¶

A Pipeline Contract MAY declare logical resource requirements.

Resource declarations MAY include:

processor requirements
memory requirements
storage capacity
accelerator requirements
bandwidth expectations

Resource declarations SHALL remain independent of vendor-specific infrastructure.

5. Execution Environment¶

Execution Requirements MAY declare characteristics of the execution environment.

Environment characteristics MAY include:

operating system constraints
runtime dependencies
software capabilities
container requirements
execution profiles

Environment declarations SHALL NOT require a specific implementation unless explicitly defined by a DPCS profile.

6. Isolation Requirements¶

A Pipeline Contract MAY declare execution isolation requirements.

Isolation requirements MAY include:

process isolation
container isolation
virtual machine isolation
network isolation
security domains

Implementations MAY satisfy isolation requirements using implementation-specific mechanisms.

7. External Dependencies¶

Execution Requirements MAY identify external services required for successful execution.

Dependencies SHALL identify:

logical service identity
required capability
availability expectations

Service implementations SHALL remain outside the scope of this specification.

8. Capability Matching¶

Before execution planning, implementations SHALL evaluate declared Execution Requirements against available execution capabilities.

Unsatisfied mandatory requirements SHALL prevent successful planning unless otherwise permitted by a DPCS profile.

9. Validation¶

Implementations SHALL validate:

requirement completeness
identifier consistency
capability references
profile compatibility
extension integrity

Validation failures SHALL produce standardized Diagnostics.

10. Semantic Preservation¶

Execution Requirements SHALL preserve:

declared execution constraints
capability expectations
isolation semantics
dependency declarations

Implementation-specific optimizations SHALL NOT alter declared execution intent.

11. Extensibility¶

Execution Requirements MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized semantics and SHALL NOT redefine mandatory behavior established by this specification.

12. Conformance¶

A conforming implementation SHALL:

preserve declared Execution Requirements
evaluate mandatory requirements before planning
preserve execution constraint semantics
reject invalid Execution Requirements through standardized Diagnostics

13. Summary¶

The Execution Requirements Model defines the declarative constraints necessary to execute a Pipeline Contract.

By separating execution requirements from orchestration technologies and infrastructure implementations, DPCS enables portable pipeline definitions whose execution intent can be satisfied across diverse computing environments while preserving consistent semantic behavior.

Chapter 11 --- Scheduling Intent¶

1. Purpose¶

This chapter defines the normative Scheduling Intent Model for the Data Pipeline Contract Standard (DPCS).

Scheduling Intent expresses when and under what logical conditions a Pipeline Contract is intended to execute. It communicates execution intent without prescribing a specific scheduler, orchestration platform, or triggering mechanism.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Scheduling Intent Model SHALL be:

implementation independent
declarative
machine readable
deterministic where declared
portable
extensible

Scheduling Intent SHALL describe desired execution behavior rather than implementation-specific scheduling configuration.

3. Scheduling Intent Model¶

A Pipeline Contract MAY declare one or more Scheduling Intent definitions.

Each Scheduling Intent SHALL identify:

scheduling mode
triggering conditions
execution frequency where applicable
timing constraints
applicable execution policies

Scheduling Intent SHALL be evaluated during planning and orchestrator binding.

4. Scheduling Modes¶

A Pipeline Contract MAY declare one or more of the following scheduling modes:

manual
on-demand
scheduled
event-driven
streaming
continuous
implementation-defined extension modes

Implementations SHALL preserve the declared scheduling mode throughout planning and binding.

5. Time-Based Scheduling¶

Time-based Scheduling Intent MAY declare:

execution frequency
execution windows
maintenance windows
blackout periods
execution deadlines

The representation of time SHALL remain implementation independent.

6. Event-Driven Scheduling¶

Scheduling Intent MAY declare logical events that initiate execution.

Event declarations SHALL identify:

event identity
event source
triggering conditions

The mechanism by which events are delivered is outside the scope of this specification.

7. Streaming Execution¶

A Pipeline Contract MAY declare continuous or streaming execution intent.

Streaming declarations SHALL describe logical processing expectations and SHALL NOT require a specific streaming technology.

8. Scheduling Constraints¶

Scheduling Intent MAY define constraints including:

earliest execution time
latest execution time
execution deadlines
concurrency limitations
ordering constraints

Constraints SHALL be preserved throughout planning and orchestrator binding.

9. Validation¶

Implementations SHALL validate:

scheduling mode declarations
timing consistency
constraint consistency
event definitions
extension integrity

Validation failures SHALL produce standardized Diagnostics.

10. Semantic Preservation¶

Parsing, validation, planning, orchestrator binding, and execution SHALL preserve:

scheduling intent
triggering semantics
timing constraints
execution policies

Implementation-specific schedulers SHALL NOT alter the declared Scheduling Intent.

11. Extensibility¶

The Scheduling Intent Model MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized scheduling semantics and SHALL NOT redefine mandatory behavior established by this specification.

12. Conformance¶

A conforming implementation SHALL:

preserve Scheduling Intent declarations
preserve scheduling constraints
validate scheduling definitions
reject invalid Scheduling Intent through standardized Diagnostics

13. Summary¶

The Scheduling Intent Model defines the logical timing and triggering behavior of a Pipeline Contract independently of any scheduler or orchestration platform.

By separating execution intent from scheduling implementation, DPCS enables portable pipeline definitions that can be bound to diverse orchestration systems while preserving identical observable scheduling semantics.

Chapter 12 --- Quality Gates¶

1. Purpose¶

This chapter defines the normative Quality Gate Model for the Data Pipeline Contract Standard (DPCS).

Quality Gates establish explicit decision points within a Pipeline Contract where declared conditions SHALL be evaluated before pipeline execution is permitted to continue. Quality Gates provide contract-defined controls for validating data quality, contract conformance, policy compliance, and operational readiness.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Quality Gate Model SHALL be:

implementation independent
contract first
deterministic where declared
machine readable
auditable
extensible

Quality Gates SHALL express logical acceptance criteria rather than implementation-specific validation mechanisms.

3. Quality Gate Model¶

A Pipeline Contract MAY declare one or more Quality Gates.

Each Quality Gate SHALL define:

a stable identifier
a logical purpose
one or more evaluation criteria
success behavior
failure behavior
optional metadata

Quality Gates SHALL be evaluated at their declared point within the Pipeline Contract.

4. Gate Categories¶

Standard Quality Gate categories MAY include:

contract validation
data quality
schema compatibility
policy compliance
security validation
operational readiness
implementation-defined extension categories

Implementations SHALL preserve declared gate categories.

5. Evaluation Criteria¶

Evaluation criteria SHALL be expressed declaratively.

Criteria MAY reference:

ODCS Data Contracts
DTCS Transformation Contracts
DPCS Pipeline Contracts
implementation-defined extensions

Evaluation SHALL be deterministic for equivalent inputs and execution context.

6. Success and Failure Semantics¶

Every Quality Gate SHALL define the outcome of successful and unsuccessful evaluation.

Failure behavior MAY include:

abort pipeline execution
retry
route to an alternate path
request approval
record diagnostics
implementation-defined behavior through extensions

Failure semantics SHALL be explicitly declared.

7. Placement Within a Pipeline¶

Quality Gates MAY appear:

before pipeline execution
before a Pipeline Step
after a Pipeline Step
before pipeline completion
at implementation-defined checkpoints

The placement of a Quality Gate SHALL be preserved during planning and orchestrator binding.

8. Validation¶

Implementations SHALL validate:

gate identifiers
evaluation criteria
referenced contracts
declared outcomes
extension integrity

Validation failures SHALL produce standardized Diagnostics.

9. Semantic Preservation¶

Parsing, validation, planning, orchestrator binding, and execution SHALL preserve:

gate identity
evaluation criteria
declared success behavior
declared failure behavior
observable quality semantics

Implementation-specific optimizations SHALL NOT alter declared Quality Gate behavior.

10. Extensibility¶

The Quality Gate Model MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized Quality Gate semantics and SHALL NOT redefine mandatory behavior established by this specification.

11. Conformance¶

A conforming implementation SHALL:

preserve Quality Gate definitions
preserve evaluation semantics
validate gate integrity
reject invalid Quality Gates through standardized Diagnostics

12. Summary¶

The Quality Gate Model provides a standardized mechanism for expressing contract-defined decision points within a Pipeline Contract.

By separating quality intent from implementation-specific validation technologies, DPCS enables portable pipelines whose governance, compliance, and acceptance criteria remain consistent across heterogeneous orchestration platforms and execution environments.

Chapter 13 --- Failure Semantics¶

1. Purpose¶

This chapter defines the normative Failure Semantics Model for the Data Pipeline Contract Standard (DPCS).

Failure Semantics specify how a Pipeline Contract declares and communicates expected behavior when errors, interruptions, policy violations, or operational failures occur. The model defines logical failure behavior independently of orchestration technologies and execution platforms.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Failure Semantics Model SHALL be:

implementation independent
contract first
deterministic where declared
machine readable
auditable
extensible

Failure Semantics SHALL describe what behavior is required, not how it is implemented.

3. Failure Semantics Model¶

A Pipeline Contract MAY declare one or more Failure Semantics.

Each declaration SHALL identify:

a stable identifier
applicable scope
triggering conditions
required behavior
optional recovery behavior
optional metadata

Failure Semantics SHALL apply only within their declared scope.

4. Failure Categories¶

Standard failure categories MAY include:

validation failures
data quality failures
execution failures
dependency failures
infrastructure failures
timeout failures
security failures
policy failures
implementation-defined extension categories

Implementations SHALL preserve declared failure categories.

5. Failure Responses¶

A Pipeline Contract MAY declare one or more logical responses, including:

abort execution
retry
compensate
continue
skip
route to an alternate execution path
require manual approval
emit diagnostics

Responses SHALL be explicitly declared.

6. Retry Semantics¶

Retry behavior MAY define:

retry eligibility
maximum attempts
retry conditions
retry delay policy
retry termination conditions

Retry declarations SHALL remain implementation independent.

7. Compensation¶

Pipeline Contracts MAY declare compensation behavior.

Compensation describes logical corrective actions intended to mitigate previously completed work.

Compensation SHALL preserve the observable semantics of the Pipeline Contract.

8. Recovery¶

Recovery semantics MAY define:

restart behavior
resume behavior
rollback expectations
checkpoint usage
state restoration requirements

Recovery declarations SHALL describe logical behavior rather than implementation mechanisms.

9. Validation¶

Implementations SHALL validate:

failure identifiers
triggering conditions
response definitions
retry declarations
recovery declarations
extension integrity

Validation failures SHALL produce standardized Diagnostics.

10. Semantic Preservation¶

Parsing, validation, planning, orchestrator binding, and execution SHALL preserve:

declared failure behavior
retry semantics
compensation semantics
recovery semantics
observable pipeline behavior

Implementation optimizations SHALL NOT alter declared Failure Semantics.

11. Extensibility¶

The Failure Semantics Model MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized semantics and SHALL NOT redefine mandatory behavior established by this specification.

12. Conformance¶

A conforming implementation SHALL:

preserve declared Failure Semantics
validate failure definitions
preserve observable failure behavior
reject invalid Failure Semantics through standardized Diagnostics

13. Summary¶

The Failure Semantics Model provides a standardized, contract-first mechanism for describing how pipelines are expected to behave when failures occur.

By separating logical failure behavior from orchestration-specific implementation, DPCS enables portable pipeline definitions that preserve consistent recovery, retry, compensation, and governance semantics across heterogeneous execution environments.

Chapter 14 --- Pipeline Lineage¶

1. Purpose¶

This chapter defines the normative Pipeline Lineage Model for the Data Pipeline Contract Standard (DPCS).

Pipeline Lineage describes the logical provenance of datasets, Pipeline Steps, and Pipeline Contracts as data moves through a pipeline. The Lineage Model enables implementations to reason about origin, transformation, dependencies, and traceability independently of orchestration technologies or execution platforms.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Pipeline Lineage Model SHALL be:

implementation independent
contract first
machine readable
deterministic
traceable
auditable
extensible

Pipeline Lineage SHALL describe logical provenance rather than implementation-specific metadata collection.

3. Lineage Model¶

A Pipeline Contract MAY declare one or more Lineage relationships.

Pipeline Lineage SHALL describe:

dataset provenance
Pipeline Step provenance
Pipeline Contract provenance
dependency relationships
transformation history
execution traceability where applicable

Lineage SHALL be represented independently of execution technology.

4. Dataset Lineage¶

Dataset Lineage identifies the logical origin and evolution of datasets throughout a Pipeline Contract.

Dataset Lineage SHALL preserve:

dataset identity
producing Pipeline Step
consuming Pipeline Steps
associated Data Contracts
transformation relationships

Physical storage locations SHALL NOT define lineage identity.

5. Pipeline Step Lineage¶

Pipeline Step Lineage identifies the relationships among Pipeline Steps responsible for producing and consuming datasets.

Step Lineage SHALL preserve:

step identity
predecessor relationships
successor relationships
dependency semantics
contract references

6. Pipeline Provenance¶

A Pipeline Contract MAY declare provenance information describing:

originating Pipeline Contract
parent Pipeline Contracts
nested Pipeline Contracts
imported Pipeline Contracts
version history

Provenance SHALL preserve logical identity independently of implementation.

7. Auditability¶

Implementations SHOULD provide sufficient information to support auditing of declared Lineage relationships.

Audit information MAY include:

contract identifiers
version identifiers
timestamps
implementation-defined execution metadata

Audit metadata SHALL NOT modify declared lineage semantics.

8. Validation¶

Implementations SHALL validate:

lineage identifiers
referenced datasets
referenced Pipeline Steps
contract references
provenance consistency
extension integrity

Validation failures SHALL produce standardized Diagnostics.

9. Semantic Preservation¶

Parsing, validation, planning, orchestrator binding, and execution SHALL preserve:

lineage identity
dataset provenance
Pipeline Step provenance
Pipeline Contract provenance
dependency semantics

Implementation optimizations SHALL NOT alter declared Lineage relationships.

10. Extensibility¶

The Pipeline Lineage Model MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized Lineage semantics and SHALL NOT redefine mandatory behavior established by this specification.

11. Conformance¶

A conforming implementation SHALL:

preserve declared Lineage relationships
preserve dataset provenance
preserve Pipeline Step provenance
validate Lineage definitions
reject invalid Lineage declarations through standardized Diagnostics

12. Summary¶

The Pipeline Lineage Model provides a standardized representation of provenance throughout a Pipeline Contract.

By separating logical lineage from implementation-specific execution metadata, DPCS enables portable, interoperable, and auditable pipeline definitions that preserve end-to-end traceability across heterogeneous orchestration platforms and execution environments.

Chapter 15 --- Pipeline Plan¶

1. Purpose¶

This chapter defines the normative Pipeline Plan Model for the Data Pipeline Contract Standard (DPCS).

A Pipeline Plan is the canonical, implementation-independent execution representation produced from a validated Pipeline Contract. It bridges the gap between declarative pipeline definitions and platform-specific orchestration while preserving the semantic intent of the original contract.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Pipeline Plan Model SHALL be:

implementation independent
deterministic
machine readable
analyzable
portable
semantically preserving
extensible

A Pipeline Plan SHALL describe executable intent without embedding orchestrator-specific behavior.

3. Pipeline Plan Model¶

A Pipeline Plan SHALL be generated only from a successfully validated Pipeline Contract.

A Pipeline Plan SHALL include:

resolved Pipeline Graph
resolved Pipeline Steps
resolved contract references
dependency graph
execution ordering
scheduling intent
quality gates
failure semantics
execution requirements

The Pipeline Plan SHALL serve as the canonical input to Orchestrator Binding.

4. Planning Process¶

Planning SHALL include, at minimum:

contract resolution
graph validation
dependency analysis
interface validation
compatibility evaluation
execution requirement evaluation
quality gate integration

Planning SHALL NOT modify the declared semantics of the Pipeline Contract.

5. Dependency Resolution¶

Implementations SHALL resolve all declared dependencies before producing a Pipeline Plan.

Resolution SHALL include:

Pipeline Step dependencies
Contract References
Data Flow relationships
Control Flow relationships

Unresolved mandatory dependencies SHALL prevent successful planning.

6. Canonical Ordering¶

A Pipeline Plan SHALL establish a deterministic logical ordering of Pipeline Steps consistent with the validated Pipeline Graph.

The ordering SHALL preserve:

declared dependencies
Control Flow semantics
Data Flow semantics
observable behavior

The ordering SHALL remain independent of scheduler implementation.

7. Optimization¶

Implementations MAY perform planning optimizations.

Optimizations SHALL:

preserve declared semantics
preserve dependency relationships
preserve observable behavior
preserve contract references

Optimizations SHALL NOT introduce semantic changes.

8. Validation¶

Implementations SHALL validate:

planning completeness
dependency resolution
execution ordering
contract compatibility
execution requirements
extension integrity

Planning failures SHALL produce standardized Diagnostics.

9. Semantic Preservation¶

Generation of a Pipeline Plan SHALL preserve:

pipeline identity
graph topology
Pipeline Step identity
contract references
execution intent
scheduling intent
Quality Gates
Failure Semantics
Lineage

A Pipeline Plan SHALL remain semantically equivalent to its originating Pipeline Contract.

10. Extensibility¶

The Pipeline Plan Model MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized planning semantics and SHALL NOT redefine mandatory behavior established by this specification.

11. Conformance¶

A conforming implementation SHALL:

generate a semantically equivalent Pipeline Plan
preserve dependency relationships
preserve execution intent
preserve scheduling intent
reject invalid Pipeline Plans through standardized Diagnostics

12. Summary¶

The Pipeline Plan Model defines the canonical intermediate representation that connects declarative Pipeline Contracts with implementation-specific orchestration technologies.

By standardizing planning independently of execution platforms, DPCS enables portable, analyzable, and interoperable pipeline definitions that can be compiled into multiple orchestration environments while preserving identical observable semantics.

Chapter 16 --- Orchestrator Capability Model¶

1. Purpose¶

This chapter defines the normative Orchestrator Capability Model for the Data Pipeline Contract Standard (DPCS).

The Orchestrator Capability Model provides a standardized, implementation-independent method for describing the capabilities supported by an orchestration platform. It enables Pipeline Plans to be evaluated against orchestrator capabilities before binding occurs, ensuring that a Pipeline Contract can be executed without altering its declared semantics.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Orchestrator Capability Model SHALL be:

implementation independent
machine readable
deterministic
extensible
portable
semantically preserving

Capability declarations SHALL describe what an orchestrator can support, not how it implements those capabilities.

3. Capability Model¶

An Orchestrator Capability Model SHALL declare the features, constraints, and execution behaviors supported by an orchestration platform.

Capabilities MAY include:

scheduling modes
execution models
dependency handling
parallel execution
event processing
retry behavior
checkpoint support
compensation support
approval workflows
extension mechanisms

Capability declarations SHALL remain independent of vendor-specific configuration.

4. Capability Categories¶

Capabilities SHOULD be organized into logical categories including:

scheduling
execution
workflow coordination
quality gates
failure handling
lineage
observability
security
extensions

Implementations MAY define additional categories through approved extensions.

5. Capability Matching¶

Before Orchestrator Binding, implementations SHALL compare Pipeline Plan requirements against the declared capabilities of the target orchestrator.

Mandatory capabilities SHALL be satisfied before successful binding.

Unsupported optional capabilities MAY be ignored when permitted by the applicable DPCS profile.

6. Capability Profiles¶

Implementations MAY publish Capability Profiles.

Capability Profiles SHALL identify:

orchestrator identity
supported DPCS version
supported capability set
known limitations
implementation-specific metadata

Profiles SHALL NOT modify standardized DPCS semantics.

7. Capability Negotiation¶

Where multiple orchestrators are available, implementations MAY perform capability negotiation.

Negotiation SHALL preserve the semantic intent of the Pipeline Plan.

Negotiation SHALL NOT silently weaken mandatory pipeline requirements.

8. Validation¶

Implementations SHALL validate:

capability declarations
profile consistency
version compatibility
mandatory capability support
extension integrity

Validation failures SHALL produce standardized Diagnostics.

9. Semantic Preservation¶

Capability evaluation SHALL preserve:

Pipeline Plan semantics
scheduling intent
execution requirements
Quality Gates
Failure Semantics
dependency relationships

Capability matching SHALL NOT modify the logical behavior of the Pipeline Plan.

10. Extensibility¶

The Orchestrator Capability Model MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized capability semantics and SHALL NOT redefine mandatory behavior established by this specification.

11. Conformance¶

A conforming implementation SHALL:

expose declared orchestrator capabilities
evaluate Pipeline Plans against declared capabilities
preserve semantic intent during capability evaluation
reject unsupported mandatory capabilities through standardized Diagnostics

12. Summary¶

The Orchestrator Capability Model establishes a standardized description of orchestration platform capabilities independent of any specific implementation.

By separating capability discovery from orchestration binding, DPCS enables portable Pipeline Plans to be evaluated objectively against multiple execution platforms while preserving consistent observable semantics.

Chapter 17 --- Orchestrator Binding¶

1. Purpose¶

This chapter defines the normative Orchestrator Binding Model for the Data Pipeline Contract Standard (DPCS).

An Orchestrator Binding transforms a validated Pipeline Plan into an orchestration-platform-specific representation while preserving the semantics of the originating Pipeline Contract. The Binding Model separates pipeline definition from execution technology, enabling a single Pipeline Contract to target multiple orchestration platforms.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Orchestrator Binding Model SHALL be:

implementation independent
deterministic
machine readable
semantically preserving
portable
extensible

Bindings SHALL translate Pipeline Plans without changing their declared meaning.

3. Binding Model¶

An Orchestrator Binding SHALL consume a validated Pipeline Plan.

A Binding SHALL produce one or more platform-specific orchestration artifacts.

Bindings MAY target:

workflow definitions
deployment manifests
orchestration APIs
executable specifications
implementation-defined artifacts

The produced artifacts are outside the scope of this specification.

4. Binding Process¶

The binding process SHALL include:

capability verification
Pipeline Plan translation
dependency preservation
scheduling translation
Quality Gate translation
Failure Semantics translation
execution requirement translation

Bindings SHALL fail when mandatory pipeline semantics cannot be preserved.

5. Semantic Preservation¶

Bindings SHALL preserve:

pipeline identity
Pipeline Step identity
graph topology
Data Flow
Control Flow
Scheduling Intent
Execution Requirements
Quality Gates
Failure Semantics
Lineage
contract references

Platform-specific optimizations SHALL NOT alter observable behavior.

6. Platform-Specific Artifacts¶

Bindings MAY generate artifacts for any orchestration platform.

Examples include:

workflow definitions
deployment descriptors
scheduler configurations
orchestration manifests

The format of generated artifacts is implementation defined.

7. Capability Constraints¶

Bindings SHALL evaluate the target Orchestrator Capability Model before translation.

Unsupported mandatory capabilities SHALL prevent successful binding.

Optional capabilities MAY be omitted only when permitted by the applicable DPCS profile.

8. Validation¶

Implementations SHALL validate:

successful capability matching
translation completeness
semantic preservation
extension integrity

Binding failures SHALL produce standardized Diagnostics.

9. Extensibility¶

The Orchestrator Binding Model MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized binding semantics and SHALL NOT redefine mandatory behavior established by this specification.

10. Conformance¶

A conforming implementation SHALL:

consume a validated Pipeline Plan
preserve mandatory pipeline semantics
validate capability compatibility
reject invalid bindings through standardized Diagnostics

11. Summary¶

The Orchestrator Binding Model defines the standardized bridge between portable Pipeline Plans and implementation-specific orchestration technologies.

By separating semantic planning from platform translation, DPCS enables the same Pipeline Contract to be bound to multiple orchestration environments while preserving identical observable behavior and governance guarantees.

Chapter 18 --- Diagnostics¶

1. Purpose¶

This chapter defines the normative Diagnostics Model for the Data Pipeline Contract Standard (DPCS).

Diagnostics provide standardized, machine-readable information describing errors, warnings, informational messages, and other observations produced during parsing, validation, planning, capability evaluation, orchestrator binding, and related processing phases. Diagnostics SHALL enable consistent reporting across independent implementations without altering the semantic meaning of a Pipeline Contract.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Diagnostics Model SHALL be:

implementation independent
deterministic
machine readable
human readable
stable
extensible

Diagnostics SHALL communicate observations without modifying pipeline semantics.

3. Diagnostic Model¶

A Diagnostic SHALL represent a single observation.

Each Diagnostic SHALL include:

diagnostic identifier
severity
processing stage
category
human-readable message

A Diagnostic MAY additionally include:

object reference
source location
remediation guidance
related diagnostics
implementation-specific metadata

4. Diagnostic Severity¶

A Diagnostic SHALL declare exactly one severity.

Standard severities are:

Error
Warning
Information

Additional severities MAY be defined through approved extensions.

Severity SHALL describe the significance of the observation and SHALL NOT determine implementation policy.

5. Processing Stages¶

Diagnostics MAY be produced during:

parsing
Canonical Object Model construction
validation
compatibility analysis
planning
capability evaluation
orchestrator binding
execution analysis

Implementations SHALL identify the originating processing stage.

6. Diagnostic Categories¶

Diagnostic categories MAY include:

syntax
structure
reference resolution
compatibility
scheduling
execution requirements
quality gates
failure semantics
lineage
extensions

Categories SHALL support consistent classification across implementations.

7. Diagnostic Reports¶

Implementations SHOULD aggregate Diagnostics into Diagnostic Reports.

A Diagnostic Report SHALL preserve:

processing result
diagnostic ordering
associated Pipeline Contract
implementation metadata where appropriate

Reports SHALL remain stable for equivalent processing inputs.

8. Validation¶

Implementations SHALL validate:

diagnostic identifiers
severity values
processing stages
category values
extension metadata

Invalid diagnostics SHALL themselves produce standardized Diagnostics where possible.

9. Semantic Preservation¶

Diagnostics SHALL describe observations only.

The generation, ordering, formatting, or transport of Diagnostics SHALL NOT alter:

Pipeline Contracts
Pipeline Plans
Pipeline Graphs
Lineage
execution intent

Diagnostics SHALL remain semantically independent of pipeline behavior.

10. Extensibility¶

The Diagnostics Model MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized diagnostic semantics and SHALL NOT redefine mandatory behavior established by this specification.

11. Conformance¶

A conforming implementation SHALL:

produce standardized Diagnostics
preserve diagnostic semantics
classify diagnostics consistently
preserve processing stage information
reject invalid diagnostic structures through standardized Diagnostics

12. Summary¶

The Diagnostics Model provides a standardized framework for communicating observations throughout the lifecycle of a Pipeline Contract.

By separating diagnostic reporting from pipeline semantics, DPCS enables consistent analysis, validation, debugging, governance, and tooling across heterogeneous implementations while preserving identical observable pipeline behavior.

Chapter 19 --- Compatibility¶

1. Purpose¶

This chapter defines the normative Compatibility Model for the Data Pipeline Contract Standard (DPCS).

The Compatibility Model specifies how Pipeline Contracts, Pipeline Plans, Pipeline Interfaces, Pipeline Steps, and referenced contracts are evaluated for semantic compatibility across revisions. Compatibility enables the safe evolution of pipelines while preserving interoperability and predictable behavior.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Compatibility Model SHALL be:

implementation independent
deterministic
machine readable
version aware
semantically preserving
extensible

Compatibility SHALL be evaluated independently of implementation technology.

3. Compatibility Model¶

Compatibility determines whether two artifacts may interoperate without violating declared semantics.

Compatibility SHALL be evaluated independently of:

serialization format
execution platform
orchestration technology
implementation language

Version identifiers SHALL NOT be the sole determinant of compatibility.

4. Compatibility Scope¶

Compatibility MAY be evaluated for:

Pipeline Contracts
Pipeline Plans
Pipeline Interfaces
Pipeline Steps
Pipeline Graphs
Contract References
Data Contracts
Transformation Contracts
Extension-defined artifacts

Each artifact SHALL preserve its own compatibility semantics.

5. Compatibility Categories¶

Implementations SHOULD distinguish compatibility categories including:

fully compatible
backward compatible
forward compatible
conditionally compatible
incompatible

Profiles MAY define additional compatibility categories.

6. Compatibility Evaluation¶

Compatibility evaluation SHALL consider:

interface changes
graph topology
dependency relationships
contract references
execution requirements
scheduling intent
quality gates
failure semantics
lineage
extension compatibility

Evaluation SHALL be deterministic for equivalent inputs.

7. Breaking Changes¶

A change SHALL be considered breaking when it alters mandatory observable semantics.

Examples MAY include:

removing required interfaces
incompatible contract references
invalid dependency changes
incompatible Quality Gates
incompatible Failure Semantics

Implementations SHALL report breaking changes through standardized Diagnostics.

8. Validation¶

Implementations SHALL validate:

artifact identity
compatibility declarations
version declarations
dependency compatibility
extension compatibility

Validation failures SHALL produce standardized Diagnostics.

9. Semantic Preservation¶

Compatibility analysis SHALL preserve:

pipeline identity
interface identity
graph semantics
execution intent
observable behavior

Compatibility evaluation SHALL NOT modify evaluated artifacts.

10. Extensibility¶

The Compatibility Model MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized compatibility semantics and SHALL NOT redefine mandatory behavior established by this specification.

11. Conformance¶

A conforming implementation SHALL:

evaluate compatibility deterministically
preserve semantic meaning during evaluation
distinguish compatibility from version identity
reject invalid compatibility declarations through standardized Diagnostics

12. Summary¶

The Compatibility Model provides a standardized framework for evaluating the interoperability of Pipeline Contracts and related artifacts across revisions.

By separating compatibility from version identity and implementation technology, DPCS enables controlled evolution of portable pipeline definitions while preserving predictable semantics across independent implementations.

Chapter 20 --- Versioning¶

1. Purpose¶

This chapter defines the normative Versioning Model for the Data Pipeline Contract Standard (DPCS).

The Versioning Model establishes how Pipeline Contracts, Pipeline Plans, registries, capability profiles, extensions, and related DPCS artifacts identify revisions over time. Version identifiers enable controlled evolution while remaining distinct from compatibility analysis.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Versioning Model SHALL be:

implementation independent
deterministic
machine readable
interoperable
extensible
stable

Version identifiers SHALL communicate revision identity without altering the semantic meaning of a Pipeline Contract.

3. Versioning Scope¶

DPCS versioning applies to:

DPCS specifications
Pipeline Contracts
Pipeline Plans
capability profiles
registries
extensions
orchestrator bindings
conformance profiles

Each artifact SHALL define its own version independently.

4. Version Identity¶

A version identifier uniquely identifies a published revision of an artifact.

A version identifier SHALL:

uniquely identify a published revision
remain stable after publication
be treated as immutable

Published version identifiers SHALL NOT be reused.

5. Specification Versions¶

Every DPCS specification SHALL declare its specification version.

Implementations claiming conformance SHALL identify the DPCS specification version they implement.

Conformance to one specification version SHALL NOT imply conformance to another.

6. Pipeline Contract Versions¶

Every Pipeline Contract SHOULD declare a contract version.

Pipeline Contract version identifiers SHALL distinguish revisions of the same logical pipeline.

Pipeline Contract versions SHALL NOT be used as the sole basis for compatibility evaluation.

Compatibility SHALL be evaluated according to Chapter 19.

7. Pipeline Plan Versions¶

A Pipeline Plan MAY declare its own version identifier.

Generation of a new Pipeline Plan SHALL NOT require modification of the originating Pipeline Contract version unless the contract itself changes.

8. Registry and Profile Versions¶

Registries, capability profiles, extension registries, and conformance profiles SHALL maintain independent version identifiers.

Independent evolution of these artifacts SHALL preserve interoperability through standardized compatibility rules.

9. Version Resolution¶

Implementations SHALL preserve declared version identifiers throughout:

parsing
validation
planning
capability evaluation
orchestrator binding
diagnostics

Version resolution SHALL NOT modify declared pipeline semantics.

10. Validation¶

Implementations SHALL validate:

required version declarations
version identifier syntax
conflicting version declarations
profile consistency

Validation failures SHALL produce standardized Diagnostics.

11. Relationship to Compatibility¶

Version identity and compatibility are separate concepts.

Two Pipeline Contracts MAY possess different version identifiers while remaining fully compatible.

Two Pipeline Contracts MAY possess identical version identifiers while remaining incompatible if declared semantics differ.

Implementations SHALL evaluate compatibility independently of version identifiers.

12. Extensibility¶

Extensions SHALL declare their own version identifiers.

Extension versioning SHALL preserve extension identity and SHALL NOT redefine standardized DPCS version semantics.

13. Conformance¶

A conforming implementation SHALL:

preserve version identifiers
distinguish version identity from compatibility
validate version declarations
reject invalid version metadata through standardized Diagnostics

14. Summary¶

The DPCS Versioning Model provides a stable, implementation-independent framework for identifying revisions of Pipeline Contracts and related artifacts.

By separating revision identity from semantic compatibility, DPCS enables controlled evolution of pipeline specifications while preserving interoperability, portability, and predictable behavior across independent implementations.

Chapter 21 --- Extensibility¶

1. Purpose¶

This chapter defines the normative Extensibility Model for the Data Pipeline Contract Standard (DPCS).

The Extensibility Model enables organizations, vendors, and communities to extend DPCS while preserving interoperability, portability, and the standardized semantics defined by this specification.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Extensibility Model SHALL be:

implementation independent
interoperable
deterministic
machine readable
forward compatible
semantically preserving

Extensions SHALL augment standardized behavior without redefining it.

3. Extension Model¶

A DPCS extension SHALL declare:

extension identifier
extension namespace
extension version
extension owner or authority
extension scope
extension semantics

Every extension SHALL have a stable identity.

4. Extension Namespaces¶

Extensions SHALL be defined within unique namespaces.

Namespace identifiers SHALL uniquely distinguish extension definitions from standardized DPCS constructs.

Implementations SHALL preserve namespace identity throughout processing.

5. Extension Scope¶

Extensions MAY define:

additional metadata
Pipeline Step types
capability categories
Quality Gate categories
Failure Semantics
scheduling modes
orchestrator-specific metadata
implementation-specific annotations

Extensions SHALL NOT redefine mandatory semantics established by this specification.

6. Unknown Extensions¶

Implementations SHALL preserve unknown extensions unless prohibited by an applicable DPCS profile.

Unknown extensions SHALL NOT invalidate an otherwise conforming Pipeline Contract solely because they are unrecognized.

Implementations MAY emit informational Diagnostics describing unsupported extensions.

7. Extension Validation¶

Implementations SHALL validate:

namespace syntax
extension identity
version declarations
scope declarations
profile compatibility

Invalid extensions SHALL produce standardized Diagnostics.

8. Extension Compatibility¶

Extensions SHALL define their own compatibility and versioning policies.

Extension compatibility SHALL be evaluated independently of core DPCS compatibility.

Conflicting extensions SHALL be reported through standardized Diagnostics.

9. Semantic Preservation¶

Extensions SHALL preserve:

standardized Pipeline Contract semantics
pipeline identity
dependency relationships
execution intent
observable behavior

Extensions SHALL NOT silently change mandatory DPCS behavior.

10. Registries¶

Implementations MAY support extension registries.

Registries MAY provide:

extension discovery
version metadata
capability metadata
documentation references

Registry participation is optional unless required by a DPCS profile.

11. Conformance¶

A conforming implementation SHALL:

preserve extension metadata
preserve namespace identity
validate extension declarations
preserve standardized semantics
reject invalid extension definitions through standardized Diagnostics

12. Summary¶

The Extensibility Model enables DPCS to evolve beyond the core specification while preserving interoperability and semantic consistency.

By providing standardized mechanisms for declaring, validating, and preserving extensions, DPCS supports innovation without compromising the portability or integrity of Pipeline Contracts.

Chapter 22 --- Registries¶

1. Purpose¶

This chapter defines the normative Registry Model for the Data Pipeline Contract Standard (DPCS).

Registries provide standardized mechanisms for discovering, identifying, publishing, and managing reusable DPCS artifacts. Registries enable interoperability across implementations while preserving stable identities, semantic consistency, and long-term governance.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Registry Model SHALL be:

implementation independent
machine readable
deterministic
discoverable
interoperable
extensible

Registries SHALL facilitate artifact discovery without altering the semantics of registered artifacts.

3. Registry Model¶

A Registry is a collection of uniquely identified DPCS artifacts.

A Registry MAY contain:

Pipeline Contracts
Pipeline Plans
Orchestrator Capability Profiles
Extension definitions
Conformance Profiles
Binding Profiles
Implementation-defined artifacts

Registries SHALL preserve the independent identity and version of every registered artifact.

4. Registry Identity¶

Every Registry SHALL possess:

a stable identifier
a registry version
ownership or governing authority
supported DPCS version
publication metadata

Registry identifiers SHALL remain stable across published revisions.

5. Registered Artifacts¶

Every registered artifact SHALL possess:

a unique identifier
an artifact type
a version identifier
compatibility metadata
publication status

Registries SHALL NOT reuse published identifiers for semantically different artifacts.

6. Registry Operations¶

Implementations MAY support registry operations including:

discovery
lookup
publication
update
deprecation
retirement

The operational mechanisms are implementation defined and outside the scope of this specification.

7. Registry Validation¶

Implementations SHALL validate:

registry identity
artifact uniqueness
version declarations
compatibility metadata
extension metadata

Validation failures SHALL produce standardized Diagnostics.

8. Registry Governance¶

Registries SHOULD define governance procedures for:

publication
review
version management
deprecation
retirement
identifier allocation

Governance policies SHALL preserve long-term interoperability.

9. Semantic Preservation¶

Registry participation SHALL preserve:

artifact identity
artifact version
compatibility declarations
extension metadata
observable semantics

Registry operations SHALL NOT modify the semantic meaning of registered artifacts.

10. Extensibility¶

The Registry Model MAY be extended through the DPCS Extensibility Model.

Extensions SHALL preserve standardized registry semantics and SHALL NOT redefine mandatory behavior established by this specification.

11. Conformance¶

A conforming implementation SHALL:

preserve registry identity
preserve artifact identity
validate registered artifacts
preserve semantic integrity
reject invalid registry metadata through standardized Diagnostics

12. Summary¶

The Registry Model provides a standardized framework for discovering, publishing, and governing reusable DPCS artifacts.

By separating artifact management from pipeline semantics, DPCS enables interoperable registries that support long-term evolution, reuse, and governance while preserving the portability and integrity of Pipeline Contracts.

Chapter 23 --- Conformance¶

1. Purpose¶

This chapter defines the normative Conformance Model for the Data Pipeline Contract Standard (DPCS).

The Conformance Model specifies the minimum requirements that an implementation SHALL satisfy in order to claim conformance with this specification. It establishes standardized conformance levels, validation expectations, and interoperability requirements while permitting implementation diversity.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Conformance Model SHALL be:

implementation independent
deterministic
measurable
interoperable
machine readable
extensible

Conformance SHALL measure observable behavior rather than implementation details.

3. Conformance Levels¶

Implementations MAY claim one or more conformance levels.

Standard conformance levels include:

Parser
Validator
Planner
Capability Evaluator
Orchestrator Binder
Registry
Complete Implementation

Each conformance claim SHALL identify the supported DPCS specification version.

4. Parser Conformance¶

A conforming Parser SHALL:

accept supported serialization formats
construct a valid Canonical Object Model
preserve semantic meaning
produce standardized Diagnostics for invalid input

5. Validator Conformance¶

A conforming Validator SHALL:

validate Pipeline Contracts
validate references
validate graph integrity
validate scheduling intent
validate execution requirements
validate Quality Gates
validate Failure Semantics
produce standardized Diagnostics

6. Planner Conformance¶

A conforming Planner SHALL:

generate a valid Pipeline Plan
preserve semantic intent
resolve dependencies
preserve observable behavior

Planning SHALL NOT modify Pipeline Contract semantics.

7. Orchestrator Conformance¶

A conforming Binder SHALL:

evaluate orchestrator capabilities
preserve Pipeline Plan semantics
reject unsupported mandatory capabilities
generate semantically equivalent orchestration artifacts

8. Registry Conformance¶

A conforming Registry SHALL:

preserve artifact identity
preserve version identity
preserve compatibility metadata
preserve extension metadata

Registries SHALL NOT modify registered artifacts.

9. Interoperability¶

Independent conforming implementations SHALL exchange Pipeline Contracts without altering standardized semantics.

Equivalent Pipeline Contracts SHALL produce semantically equivalent Canonical Object Models.

Equivalent Pipeline Plans SHALL preserve identical observable behavior.

10. Conformance Testing¶

Implementations SHOULD be evaluated using standardized conformance test suites.

Conformance tests MAY include:

parser tests
validation tests
planning tests
compatibility tests
binding tests
registry tests
interoperability tests

11. Validation¶

Implementations SHALL validate conformance claims against the applicable DPCS specification version.

Invalid conformance claims SHALL produce standardized Diagnostics.

12. Extensibility¶

Conformance Profiles MAY define additional requirements beyond this specification.

Extensions SHALL NOT weaken mandatory DPCS conformance requirements.

13. Summary¶

The Conformance Model establishes objective, implementation-independent requirements for claiming compliance with the Data Pipeline Contract Standard.

By defining standardized conformance levels and interoperability expectations, DPCS enables independent implementations to evolve while maintaining predictable, portable, and semantically equivalent behavior across the broader ecosystem.

Chapter 24 --- Security Considerations¶

1. Purpose¶

This chapter defines the normative Security Considerations for the Data Pipeline Contract Standard (DPCS).

Security considerations identify the principles and requirements that implementations SHALL observe when processing, validating, planning, binding, executing, and governing Pipeline Contracts. DPCS defines security expectations while remaining independent of any specific authentication system, authorization model, infrastructure provider, or orchestration platform.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Security Model SHALL be:

implementation independent
defense in depth
least privilege
auditable
portable
extensible

Security mechanisms SHALL preserve the semantic meaning of Pipeline Contracts.

3. Scope¶

Security considerations apply to:

Pipeline Contracts
Pipeline Plans
Contract References
Registries
Orchestrator Bindings
Capability Profiles
Extensions
Diagnostics

Implementations SHOULD apply these considerations throughout the DPCS processing lifecycle.

4. Identity and Authentication¶

Implementations SHOULD authenticate users, services, and automation interacting with DPCS artifacts.

The authentication mechanism is outside the scope of this specification.

Authentication SHALL NOT alter Pipeline Contract semantics.

5. Authorization¶

Implementations SHOULD enforce authorization for:

creating Pipeline Contracts
modifying Pipeline Contracts
publishing artifacts
registry administration
orchestrator binding
execution approval

Authorization policy is implementation defined.

6. Secrets and Sensitive Information¶

Pipeline Contracts SHOULD NOT embed secrets directly.

Implementations SHOULD reference external secret-management systems where credentials are required.

Sensitive information SHALL be protected throughout processing.

7. Integrity¶

Implementations SHOULD protect the integrity of DPCS artifacts.

Integrity mechanisms MAY include:

digital signatures
cryptographic hashes
immutable storage
tamper detection

Integrity verification SHALL preserve artifact identity.

8. Isolation¶

Execution environments SHOULD provide appropriate isolation between independent pipeline executions.

Isolation MAY be achieved through containers, virtual machines, processes, or equivalent mechanisms.

The choice of isolation technology is outside the scope of this specification.

9. Auditability¶

Implementations SHOULD record security-relevant events including:

publication
modification
validation
orchestrator binding
execution approval
registry changes

Audit records SHALL NOT modify standardized pipeline semantics.

10. Validation¶

Implementations SHALL validate security-related metadata where required by applicable DPCS profiles.

Security validation failures SHALL produce standardized Diagnostics.

11. Extensibility¶

Security extensions MAY be defined through the DPCS Extensibility Model.

Extensions SHALL preserve mandatory DPCS semantics and SHALL NOT weaken standardized security requirements.

12. Conformance¶

A conforming implementation SHALL:

preserve security metadata
preserve artifact integrity
validate required security declarations
produce standardized Diagnostics for security validation failures

13. Summary¶

The Security Considerations defined in this chapter establish implementation-independent principles for protecting DPCS artifacts throughout their lifecycle.

By separating security policy from pipeline semantics, DPCS enables secure, portable, and interoperable implementations while allowing organizations to adopt authentication, authorization, integrity, and auditing mechanisms appropriate to their operational environments.

Chapter 25 --- Governance¶

1. Purpose¶

This chapter defines the normative Governance Model for the Data Pipeline Contract Standard (DPCS).

The Governance Model establishes the processes, roles, and principles that guide the evolution, publication, maintenance, and stewardship of the DPCS specification and its associated artifacts. Governance ensures that DPCS evolves in a transparent, predictable, and interoperable manner while preserving long-term stability.

Unless explicitly identified as informative, all requirements in this chapter are normative.

2. Design Goals¶

The Governance Model SHALL be:

transparent
implementation independent
consensus driven
version aware
interoperable
extensible

Governance SHALL preserve the integrity and stability of the DPCS specification.

3. Governance Scope¶

Governance applies to:

the DPCS specification
conformance profiles
capability profiles
registries
extension registries
official examples
reference implementations
normative schemas

Each governed artifact SHALL maintain an identified owner or governing authority.

4. Roles and Responsibilities¶

A governance process SHOULD define roles including:

specification editors
technical reviewers
implementers
registry maintainers
release managers
community contributors

The responsibilities of each role SHALL be documented and publicly available.

5. Specification Evolution¶

Changes to the specification SHOULD follow a documented review process.

Proposed changes SHOULD include:

rationale
expected impact
compatibility assessment
implementation considerations
migration guidance where applicable

Breaking changes SHOULD be minimized and clearly identified.

6. Publication¶

Official releases SHALL identify:

specification version
publication date
change summary
conformance implications
compatibility considerations

Published releases SHALL remain immutable.

7. Extension Governance¶

Extension namespaces SHOULD define their own governance policies.

Extension governance SHALL NOT weaken or redefine mandatory DPCS semantics.

Conflicting extensions SHOULD be resolved through documented governance procedures.

8. Registry Governance¶

Official registries SHOULD establish procedures for:

artifact publication
review
deprecation
retirement
identifier allocation
dispute resolution

Registry governance SHALL preserve artifact identity and interoperability.

9. Transparency¶

Governance decisions SHOULD be publicly documented whenever practical.

Implementations SHOULD be able to determine:

governing authority
published versions
approved extensions
conformance status

Transparency promotes trust and interoperability across the ecosystem.

10. Validation¶

Governance metadata SHALL be validated where required by applicable DPCS profiles.

Invalid governance metadata SHALL produce standardized Diagnostics.

11. Extensibility¶

Governance processes MAY be extended through documented governance profiles.

Extensions SHALL preserve mandatory governance requirements established by this specification.

12. Conformance¶

A conforming implementation SHALL:

preserve governance metadata
identify supported specification versions
preserve registry and extension identities
produce standardized Diagnostics for invalid governance declarations

13. Summary¶

The Governance Model provides a stable framework for the stewardship and long-term evolution of the Data Pipeline Contract Standard.

By defining transparent processes for specification maintenance, publication, registry management, and extension oversight, DPCS promotes a healthy ecosystem in which independent implementations can evolve while preserving interoperability, portability, and semantic consistency.

Chapter 26 --- Appendices¶

1. Purpose¶

This chapter contains informative appendices that support implementation of the Data Pipeline Contract Standard (DPCS). Unless explicitly stated otherwise, the material in this chapter is informative and does not introduce additional normative requirements beyond those defined in Chapters 1--25.

Appendix A --- Glossary¶

Artifact --- A versioned object defined or referenced by DPCS.

Canonical Object Model (COM) --- The implementation-independent in-memory representation of a Pipeline Contract.

Contract Reference --- A reference to an external contract such as an ODCS Data Contract, DTCS Transformation Contract, or another DPCS Pipeline Contract.

Orchestrator Binding --- The translation of a validated Pipeline Plan into platform-specific orchestration artifacts.

Pipeline Contract --- The normative declaration describing a pipeline.

Pipeline Plan --- The canonical intermediate representation produced from a validated Pipeline Contract.

Pipeline Step --- A logical unit of work within a Pipeline Contract.

Appendix B --- Example Pipeline Contract (YAML)¶

dpcsVersion: "1.0.0"
id: "customer-pipeline"
version: "1.0.0"

inputs:
  - id: customer_raw
    contractRef: contracts/customer_raw.odcs.yaml

steps:
  - id: normalize
    transformRef: transforms/normalize.dtcs.yaml

outputs:
  - id: customer_clean
    contractRef: contracts/customer_clean.odcs.yaml

Appendix C --- Processing Lifecycle¶

Pipeline Contract
        │
        ▼
Canonical Object Model
        │
        ▼
Validation
        │
        ▼
Pipeline Plan
        │
        ▼
Capability Evaluation
        │
        ▼
Orchestrator Binding
        │
        ▼
Execution Runtime

Appendix D --- Recommended Repository Layout¶

spec/
schemas/
examples/
tests/
docs/

Appendix E --- Conformance Test Areas¶

Recommended conformance suites include:

Parser
Canonical Object Model
Validation
Data Flow
Control Flow
Planning
Capability Evaluation
Orchestrator Binding
Diagnostics
Compatibility
Versioning
Registries
Extensions

Appendix F --- Relationship to Companion Standards¶

ODCS
(Data Contracts)
        │
        ▼
DTCS
(Transformation Contracts)
        │
        ▼
DPCS
(Pipeline Contracts)
        │
        ▼
Execution Platforms

ODCS defines datasets.

DTCS defines transformations.

DPCS defines pipeline composition.

Appendix G --- Future Directions¶

Potential future work includes:

Standardized Pipeline Registry APIs
Portable execution profiles
Digital signatures
Provenance interchange formats
Pipeline package formats
Additional orchestrator bindings
Formal semantic test suites

Summary¶

These appendices provide reference material, examples, architectural diagrams, terminology, and implementation guidance intended to help implementers build interoperable DPCS tooling while remaining faithful to the normative requirements established throughout this specification.