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Data Management and Plans

Data Sharing and Management SNAFU

NYU Health Sciences Library (2012).  Data sharing and management snafu in 3 short acts [Video].  https://youtu.be/66oNv_DJuPc?si=GTMhs1TKJCQCHUm0

The Data Lifecycle

 

Many institutions define the data lifecycle with similar components.  This particular workflow, by the University of Alberta, emphasizes the repurposing and re-use of data which is a driving force behind the success of data-intensive science and the reason why data management has been deemed as important.

Source: Humphrey, Charles. (2006). e-Science and the life cycle of research.  University of Alberta.  http://datalib.library.ualberta.ca/~humphrey/lifecycle-science060308.doc

Templates and Examples of DMPs

Templates

Examples of Data Management Plans

Data Management Checklist

The following questions can help you to begin to think about how you will manage your data and the answers will be useful for developing the content of a data management plan.

Data Production
  • What type(s) of data will be produced?
  • What file format(s) will the data be saved as? Are those file formats proprietary? Will they degrade?
  • Will the data be reproducible?
  • Do you need tools or software to create/process/visualize the data?
Data Size
  • How much data will it be, and at what growth rate?
  • How often will it change?
Data Usage
  • Who will potentially be using your data both now and later?
Data Retention
  • How long should it be retained? (e.g., 3-5 years, 10-20 years, permanently).
  • Does your institution have a data retention policy?
Privacy and Security
  • Any special privacy or security requirements? (e.g., personal data, high-security data).
Data Sharing
  • Any sharing requirements? (e.g., funder data sharing policy).
  • Have you chosen a repository in which to archive your data?
Data Management Plan
  • Does your funding agency require a data management plan in the grant proposal?
Data Documentation
  • How will you be documenting your data and project?
  • What directory and file naming convention will be used?
  • What project and data identifiers will be assigned?
  • Is there a schema, ontological, or other metadata standard in your field for sharing data with others?
Storage and Backup
  • What are the strategies for storage and backup of the data?
  • Are you aware of support backups?
Publication
  • When and where will the work be published?
Responsibility
  • Who in the research group will be responsible for data management?
  • Who controls the data (PI, student, lab, institution, funder)?

 

Source:  Florida Institute of Technology, Evans Library; Used with permission.

Last updated on Apr 25, 2024 9:29 AM