fair

name	fair
description	Use this skill when planning or reviewing FAIR stewardship of digital research objects, including research software, datasets, computational models, and workflows. Use it for FAIR metadata, reproducibility assessment, object/workflow provenance, persistent identifiers, citation, repository organization, dependency and environment management, packaging, portability, archival preparation, preservation, stewardship artifacts, and management planning. FAIR owns stewardship metadata, reproducibility assessment, object/workflow provenance, packaging, and pointers to scientific artifacts; it does not author or canonicalize model-card content. Triggers include making research objects FAIR, reproducible, citable, reusable, publication- or archive-ready; creating FAIR metadata (e.g. codemeta.json, CITATION.cff, RO-Crate); packaging or archiving a repository, dataset, or model; and developing FAIR, data, software, or maintenance plans. Expected output: a FAIR Management Plan as the sole canonical stewardship document, with appropriate metadata, provenance, reproducibility, packaging, and archival artifacts, plus a DMP, SMP, or maintenance plan when required as a derived extract.
license	MIT
compatibility	Works with any project managing research software, datasets, computational models, or workflows
metadata	{"domain":"fair-research-objects","maturity":"beta","audience":"modelers, researchers who code, research software engineers, data stewards","category":"publication"}

FAIR Research Objects Skill

This skill applies the FAIR principles across research software, computational models, datasets, workflows, metadata, and other digital research objects to improve discoverability, accessibility, interoperability, reproducibility, provenance, preservation, and long-term reuse.

The FAIR Management Plan is the project's sole canonical stewardship document and source of truth. DMP and SMP outputs are dissemination extracts derived from it, not independent stewardship authorities. If a requirement first appears in a DMP or SMP, record it in the FAIR Management Plan first, then re-derive the downstream extract.

Responsibility

This skill is responsible for lifecycle stewardship of digital research objects — findability, accessibility, interoperability, reusability, reproducibility assessment, and provenance across whatever mix of software, data, models, and workflows a project has. It is deliberately one of four orthogonal responsibilities: omfa is responsible for scientific reasoning and scientific specifications, this skill is responsible for stewardship metadata, reproducibility assessment, object/workflow provenance, and packaging, document is responsible for narrative communication and ODD narratives, and peer-review is responsible for human assessment. Keep that boundary intact when extending any of the four.

Data or authority governance questions about populations whose data or knowledge a model draws on, including collective benefit, authority to control, accountability for use, or affected-population consent and legitimacy, are modeling ethics concerns. Route those to omfa's references/guidance/ethics.md; do not treat them as resolved by FAIR packaging, metadata, or archival stewardship alone.

Use this skill for:

• stewardship of research software
• FAIR metadata
• persistent identifiers
• provenance capture
• reproducibility
• repository organization
• dependency and environment management
• data packaging
• model packaging
• workflow capture
• archival preparation
• citation
• preservation
• release and publication readiness where applicable

Do not use this skill for:

• scientific reasoning, conceptual modeling, or methodological choices; use omfa
• narrative model documentation; use document
• methodological peer-review assessment; use peer-review
• HPC job design or performance tuning; use hpc