Research Data Management
Research Data Management (RDM) involves the organization, storage, preservation, and sharing of data collected during the course of a research project.
Why Research Data Management is Important?
- Many funding agencies are requiring data management plans to promote data sharing and to ensure future access to grant supported research data.
- Archiving and providing access to your data benefits you, other researchers, and the broader scholarly community.
- Scholarly journal publishers are requiring data be publicly available to prevent fraud and allow others to validate and replicate findings.
- Ensures that data will be preserved for future researchers to discover, interpret, and reuse.
- Increases the impact of your research.
Research Data Life Cycle (source: Based on UK Data Archive Data Life Cycle)
Primers on Data Management
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DataOne: Primer on Data Management: what you always wanted to knowExcellent place to start learning about data management.
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NISO Research Data Management: A PrimerBy Carly Strasser. Good overview of how to plan for data management, documenting research data, file formats, preservation, repositories, and publishing data.