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Aurora Workflow Orchestration (AWO) — Repository Overview
documentation
non-normative
2.0.0
10.5281/zenodo.17013612
Active
2025-12-25
2026-01-09
name email orcid
Shawn C. Wright
swright@waveframelabs.org
name url
Waveframe Labs
Apache-2.0
holder year
Waveframe Labs
2026
partial
AI-assisted drafting under full human oversight; aligned with AWO v2.0.0 method layer and ARI governance.
AWO-README-v2.0.0

AWO Banner

Aurora Workflow Orchestration (AWO)

Waveframe Labs Governed Repository DOI ORCID Version
License: Apache 2.0

Method layer of the Waveframe Labs governance stack.
Defines how research is conducted, not what conclusions are reached.

AWO provides the normative methodological framework for running reproducible, auditable, AI‑assisted research workflows.

It formalizes:

  • workflow phases
  • artifact classes
  • invariants
  • contracts
  • schema interfaces

AWO does not enforce execution — enforcement belongs to CRI‑CORE.

This repository contains the complete AWO v2.0.0 methodology layer, replacing all v1.x material now archived under /v1-archived/.


Purpose of AWO

AWO answers a single foundational question:

How must research be structured so that results remain independently reconstructible, auditable, and epistemically valid?

AWO governs:

  • workflow phase ordering
  • artifact production requirements
  • role separation boundaries
  • reproducibility + falsifiability invariants
  • machine‑readable contract surface for CRI‑CORE

AWO does not run workflows or judge correctness.


Where to Start

Recommended reading path:

  1. AWO_OVERVIEW.md
  2. SCOPE.md
  3. WORKFLOW_SPEC.md
  4. ARTIFACT_CLASSES.md
  5. ARTIFACT_REQUIREMENTS.md
  6. INVARIANTS.md and ROLES.md
  7. GLOSSARY.md, PROVENANCE_MODEL.md, NEUROTRANSPARENCY.md
  8. /contracts/ — schemas & contract surfaces

Method Execution Flow

Initiation → Scoping → Contribution → Review → Approval → Audit

Phase progression requires:

  • required artifacts exist
  • metadata is complete
  • provenance is intact
  • role separation is enforced

Self‑attestation and silent revision are prohibited.


Relation to Waveframe Governance Stack

Layer System Responsibility
0 NTD / NTS Epistemic disclosure & cognitive provenance
1 ARI Governance, metadata law, authority boundaries
2 AWO Methodology specification (this repo)
3 CRI‑CORE Enforcement + attestation engine
4 Case Studies Applications (e.g., Waveframe v4.0)

Repository Structure

/
├── contracts/
│   ├── CONTRACT_INDEX.md
│   ├── ARTIFACT_SCHEMA_MAP.md
│   └── schemas/
│       ├── awo.initiation.schema.json
│       ├── awo.execution.schema.json
│       ├── awo.review.schema.json
│       ├── awo.specification.schema.json
│       └── awo.release.schema.json
│
├── docs/
│   ├── ONBOARDING_GUIDE.md
│   ├── FAQ.md
│   └── CHANGE_LOG.md
│
├── examples/
│   └── awo.initiation.example.json
│
├── method/
│   ├── PHASE_TOPOLOGY.md
│   └── README.md
│
├── v1-archived/
│   (historical materials)
│
├── ADR/
│   ├── README.md
│   └── template.md
│
├── CITATION.cff
├── LICENSE
├── SECURITY.md
└── README.md

Licensing & Attribution

  • All material is licensed under Apache‑2.0
  • AI assistance is disclosed per ARI + NTS requirements
  • Derived artifacts must preserve metadata and provenance chains

Citation

If you use AWO v2.0.0 in academic writing, tooling design, or reproducible-workflow research, please cite:

CFF (preferred)

cff-version: "1.2.0"
message: "If you use this methodology, please cite it."
title: "Aurora Workflow Orchestration (AWO)"
version: "2.0.0"
doi: "10.5281/zenodo.17013612"
authors:
  - family-names: "Wright"
    given-names: "Shawn C."
    orcid: "https://orcid.org/0009-0006-6043-9295"

Bibtex

@software{AWO_v2_0_0,
  author       = {Wright, Shawn C.},
  title        = {Aurora Workflow Orchestration (AWO) v2.0.0},
  month        = jan,
  year         = 2026,
  publisher    = {Waveframe Labs},
  doi          = {10.5281/zenodo.17013612},
  url          = {https://github.com/Waveframe-Labs/Aurora-Workflow-Orchestration}
}

© 2026 Waveframe Labs · Independent Open-Science Research Entity · ORCID: 0009-0006-6043-9295 · DOI: 10.5281/zenodo.17013612

Governed under the Aurora Research Initiative (ARI)