# 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.