5 Things Every Data Management Plan Should Include
Basic questions to ask yourself before you start writing a data management plan
- Data Types
- What types of data will your project produce (samples, specimens, records, etc.)?
- What file formats will you use?
- Are those formats sustainable for the long-term?
- How will you label and describe your data?
- How will you name and organize your files?
- How will you ensure consistency across your team?
- Access and Sharing
- Who will have access to your data during and after the research process?
- What forms of your data can you publish?
- What security, confidentiality and intellectual property requirements apply to your data?
- If you publish your data, which license will you use?
- Who can re-use your data and for what purpose?
- How should your data be cited?
- How will you backup and preserve your data?
- What if software changes? Will you need to update your files to a new format?
DMP Self-Assessment Tool
More in-depth questions to guide the planning process
This tool includes 30 questions to ask yourself and your research partners when establishing data management procedures for a lab, center or research project. The questions are broken into sections that correspond to the five areas the NSF and most other funders require in data management plans: data types, metadata, sharing, re-use, and archiving.
Researchers should cite this work as follows:
Jake Carlson (2011), "DMP Self-Assessment Tool," https://purr.purdue.edu/dmp/self-assessment