Research Data Management
noun phrasePronunciation: /rɪˈsɜːrtʃ ˈdeɪtə ˈmænɪdʒmənt/
The practice of organizing, storing, documenting, and preserving research data throughout its lifecycle from collection through long-term archival. It ensures data accessibility, reproducibility, and compliance with funder and institutional requirements.
Plain English
The systematic organization and care of research data from collection to permanent storage and sharing.
Etymology & History
Usage
"The library launched a research data management service to help graduate students document datasets and meet funder data sharing mandates."
Style guide notes: Often abbreviated as RDM in technical documentation; spell out on first use in formal contexts.
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Related Terms
Frequently Asked Questions
Why is research data management important?
It ensures reproducibility, enables collaboration, meets funder requirements, and preserves valuable research for future use.
What does a data management plan include?
Data types, collection methods, storage solutions, documentation standards, sharing approaches, and long-term preservation strategies.
Why Test Candidates on This?
Increasingly important for library professionals supporting compliance, research integrity, and funder mandates.
Required skill level: Mid