Last month Carly Strasser wrote a Data Pub blog post with tips for creating high-quality data management plans and links to some example two-page NSF data management plans.
The tips were:
- Take advantage of experts (i.e., librarians)
- Take advantage of institutional resources
- Think carefully about your data (e.g., file formats, metadata)
- Think carefully about your data workflow
- Know exactly where your data will be stored, during and after the research project
- Create your data management plan early and review it regularly throughout the research project
These links included examples of NSF data management plans for life sciences research:
- DMPTool Funder Requirements includes two NSF-BIO examples from participants of a DataOne Best Practices Workshop.
- The Data Curation component of the UCSD Research Cyberinfrastructure includes three NSF-BIO examples from successful proposals.