# Paper Data Availability

> Use when drafting, auditing, or improving data availability statements, code availability statements, FAIR metadata, dataset access routes, repository choices, restrictions, identifiers, and result-to-data traceability.

- Skill: `fengmo11/paper-data-availability` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add fengmo11/paper-data-availability`
- Raw SKILL.md: https://api.skillmd.com/api/skills/fengmo11/paper-data-availability/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: fengmo11 (https://skillmd.com/u/fengmo11)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/fengmo11/paper-data-availability

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# Paper Data Availability

Use this skill when a paper needs data/code availability statements or when results must be mapped to accessible evidence.

## Inputs

- Manuscript results, figures, tables, or supplementary claims.
- Dataset names and source locations.
- Code repository or analysis scripts if available.
- Access restrictions, privacy constraints, or licensing constraints.

## Workflow

1. List every dataset or code artifact supporting a result.
2. Map each artifact to figures, tables, or claims.
3. Identify access route: public repository, controlled access, request to authors, proprietary, or unavailable.
4. Record identifiers: DOI, accession, commit hash, archive URL, or planned persistent ID.
5. Check README, data dictionary, licence, and reuse conditions.
6. Draft a data/code availability statement.
7. Flag missing author actions.

## Data Gate

- Every result-supporting dataset has an access route.
- Restrictions are explained, not hidden.
- Public data includes identifier and repository.
- Code availability includes commit, release, or archive plan.
- Reuse conditions are stated when known.

## When To Read References

- For statement patterns, read `references/availability-patterns.md`.