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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.
Jones, Matthew B., & Clark, S. Jeanette. (2021, May). Sharpening our tools for data citation across DataONE. Zenodo. http://doi.org/10.5281/zenodo.4747722
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@karlbenedict@aebudden I filled out the description here to be a bit more complete. Thoughts? Maybe we can ask for input from Joan and some others that have raised this issue? @jeanetteclark and I are talking about scythe with LTER on May 10th, but I think the DataONE call would be broader.
@dlowenberg@JEDamerow@jeanetteclark I was talking to @karlbenedict today about the ideas for a DataONE community call around data usage and citation services and how we can work together as a network in DataONE to improve things. There have been a couple of related information sessions through Make Data Count and RDA, and community discussions like the one I cited above with LTER, so I was thinking that it might be good to have a more specific discussion around barriers to implementing usage metrics at repositories, whether there is value of centralized services for metrics to repositories, and other implementation related topics. Do you think any of these would be of interest to the repository community? Do you have other ideas in this space that would be good to pursue for a community discussion? Thanks for any input you might have.
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
Related resources and links
The text was updated successfully, but these errors were encountered: