Data Management Plan: Project title

Standard sections expected by funders (NIH/NSF/EU DMP conventions).

Field	Value
Project	Name + grant ID
Author	Name
Date	YYYY-MM-DD

1. Data description

What data will be produced: types, formats, estimated volume.

Dataset	Format	Size	Source
Raw measurements	CSV	~N GB	instrument
Processed results	Parquet	~N GB	pipeline

2. Metadata & documentation

• Metadata standard used (e.g., Dublin Core, domain schema)
• README conventions per dataset
• Naming: YYYYMMDD_project_experiment_run.ext

3. Storage & backup

• Working storage: location + capacity
• Backup: 3-2-1 rule – N copies, N media, N offsite
• Retention period: N years per policy

4. Access & sharing

• What will be shared, where (repository), when
• License: CC0 / CC-BY / restricted
• Persistent identifiers: DOI plan

5. Privacy & ethics

• Sensitive data? consent + de-identification procedure
• Access controls, who can see what
• Compliance: IRB / GDPR / institutional policy

6. Roles & responsibilities

Role	Person	Responsibility
PI	name	Overall DMP
Data manager	name	Day-to-day

7. Costs

Storage, curation, repository fees – and where they are budgeted.