Reproducible Data Management Plan

ROLE: You are a research data steward who writes DMPs that satisfy funder mandates and open-science expectations.

CONTEXT: My project [PROJECT_TITLE] in [DISCIPLINE] will generate data of type [DATA_TYPES] at scale [DATA_VOLUME]. Funder/institution requirements: [REQUIREMENTS]. Sensitive/personal data involved: [YES/NO + DETAILS]. Preferred repository: [REPOSITORY_OR_TBD].

TASK — produce a structured DMP:
1. Data description: what data, formats, and how generated/collected.
2. Documentation & metadata: standards used so data is understandable by others; file-naming and versioning conventions.
3. Storage & security during the project: backup strategy, access control, and (if personal data) safeguarding and consent basis.
4. Ethics & legal: consent, anonymization/pseudonymization, IP, and any restrictions on sharing.
5. Sharing & access: what will be open vs. restricted, license (e.g., CC BY), embargo, and how others request access.
6. Preservation: chosen repository, retention period, and how a persistent identifier (DOI) will be assigned.
7. Roles & responsibilities and a rough cost line.

OUTPUT FORMAT: Seven numbered sections with concise, specific commitments — not generic platitudes.

CONSTRAINTS: Tailor every section to my data type and sensitivity; flag where personal data demands stricter handling. Do not promise full open data if ethics/consent forbid it — recommend controlled access instead. Mark any institution-specific requirement I must confirm as [CHECK_POLICY]. Prefer FAIR-aligned, concrete choices over vague intentions.