In March I attended the 2014 Research Data Access & Preservation Summit (#RDAP14). The following recommended resources were but a few highlights from the information-packed two-day session. For more information, see the RDAP14 Slideshare with posters and slide presentations, and follow RDAP on Twitter.
The first couple of resources came from a panel on “Building a data management and curation program on a shoestring budget” by Regina Raboin, Tufts University; Margaret Henderson and Teresa Knott, Virginia Commonwealth University; and Yasmeen Shorish, James Madison University.
New England Collaborative Data Management Curriculum (NECDMC)
In partnership with several New England libraries, the Lamar Soutter Library at the University of Massachusetts Medical School has developed an instructional tool for teaching data management best practices to students and researchers in the health sciences, sciences and engineering. The online instructional modules align with the National Science Foundation’s data management plan recommendations.
Modules for Managing Research Data
- Overview of Research Data Management
- Types, Formats and Stages of Data
- Contextual Details Needed to Make Data Meaningful to Others
- Data Storage, Backup and Security
- Legal and Ethical Considerations for Research Data
- Data Sharing & Reuse Policies
- Archiving and Preservation (in progress)
Data Management Videos and Subject Guides
- General Data Management Resources
- Metadata/Data Documentation
- Data Management Planning
- Funding Agency Policies
- Data Repositories
- Quick & Dirty Tools
- Data Management Resources
- Data Management Plans
- Data Organization
- Sharing & Storage
- Guides, Books, Journals & More
Research Data Management Policy
In a session on Starting the Conversation: University-wide Research Data Management Policy, Ricky Erway from OCLC Research listed a series of questions that should be discussed among stakeholders:
- Who owns the data?
- What requirements are imposed by others?
- Which data should be retained?
- How long should data be maintained?
- How should digital data be preserved?
- Are there ethical considerations?
- How are data accessed?
- How open should the data be?
- How will costs be managed?
- What are the alternatives to local data management?