Published January 6, 2025
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Data Granularity Use Cases
Description
Data infrastructure can be built around predefined levels of granularity for data, for which conventions vary. The appropriate level of granularity can optimize discovery, access, interoperability, analysis, identification, citation, curation, and more. These use cases developed by the Research Data Alliance (RDA) Data Granularity Working Group (WG), along with its Guidance Document, provide priority use cases for research data infrastructure providers and other key stakeholders. The use cases are presented in two (otherwise identical) file formats: a readonly PDF for browsing, and an Excel file with additional functionality (such as filtering); each file contains detailed descriptions and instructions for use.
Files
Data Granularity WG Supporting Output FINAL Zenodo.pdf
Files
(461.1 kB)
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Additional details
Related works
- Is supplement to
- Other: 10.15497/RDA00126 (DOI)
Dates
- Other
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2025-01-06