Although funding institutions have different specific requirements, a data management plan should generally contain the following components:
- Description of the project: e.g., purpose of the research, organization(s) and staff involved
- Description of the data to be collected: e.g., the nature and format of the data, how it will be collected, and overview of secondary data available on the topic
- Standards to be applied for formats, metadata, etc.
- Plans for short-term storage and data management: e.g., file formats, local storage and back up procedures, and security
- Description of legal and ethical issues: e.g., intellectual property, confidentiality of study participants
- Access policies and provisions: i.e., how will you make data available to others, any restrictions to to data reuse, etc.
- Provisions for long-term archiving and preservation: e.g., in a data archive
- Assigned data management responsibilities: i.e., which persons will actually be responsible for ensuring data management; how will compliance with this plan be monitored and ensured over time
Source: from the University of New Hampsphire