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Data Citation and Reuse Tracking and Assessment (ESS-DIVE/Dryad/ADC/LTER, ...) #11
Description
Topic Description
Multiple repositories have expressed interest in mechanisms for tracking data citation and reuse as measures of the impact of data repository operations. Initiatives like Make Data Count, Scholix, and the DataCite Event service are providing standardized services for reporting and discovering citation and usage events. Nevertheless, many repositories still have to put a lot of effort into discovering when data that they curate are being used or reused. The DataONE metrics service provides one mechanism to collate usage logs and citations and have them reported to DataCite, but not all members of the network do so. DataONE also is working on tools to help locate data citations, such as the DataONE scythe package for R. And many repositories have their own efforts to identify and track data citations and usage, especially when repositories employ persistent identifiers that are not DOIs. In this DataONE community call, we would have a brief overview of the efforts that underway, and a discussion of how DataONE could help facilitate repository efforts to collate, report, and access information on data citation and usage.
Relationship to DataONE?
DataONE repositories are interested in reporting and accessing usage and citation data. They would particularly benefit from a simple service to find all citations from published academic literature to their data holdings.
Possible speakers / panelists
- Joan Damerow, ESS-DIVE
- Daniella Lowenberg, Make Data Count
- Jeanette Clark, Arctic Data Center
- LTER?
- Scholix?
- DataCite?
- ESIP Data Citation WG?
Related resources and links
- Make Data Count
- Blog: Data Citation: Let’s Choose Adoption Over Perfection
- Guidance on reporting usage metrics under the COUNTER Code of Practice for Research Data
- RDA Data Usage Metrics WG
- RDA Dynamic Data Citation Methodology
- DataONE scythe package for R
- Jones, Matthew B., & Clark, S. Jeanette. (2021, May). Sharpening our tools for data citation across DataONE. Zenodo. http://doi.org/10.5281/zenodo.4747722