Make Data Count and PARSEC: Two efforts Towards Data Usage Metrics Standardization
Abstract
Make Data Count (MDC) (https://www.makedatacount.org) is an initiative focused on elevating research data as a first-class scholarly output. To do so, DataCite, California Digital Library, and DataONE have developed an approach for repositories to process and display comparable, standardized data-level-metrics (DLMs) following a recently published COUNTER Code of Practice for Research Data. Further, the initiative provides workflows for repositories and other stakeholders to pull data citations and other mentions of research datasets from Crossref and DataCite's EventData service.
PARSEC is an international team of scientists and informatics experts that has been awarded a grant from the Belmont Forum, to address challenges with Data Sharing and develop leading practices in active collaboration with science-driven use cases planned across six countries. As a part of PARSEC, DataCite has developed new capabilities, leveraging MDC, that will allow researchers to access a comprehensive overview of the reuse of their research data, thereby enabling researchers to report on this and receive credit for the work they have done to generate these data and make the data available in a FAIR way. Join this session to learn about the work that these two projects will do to achieve these goals, which includes a data usage metrics Code of Practice, an open public hub for data usage and citation metrics, as well as a how-to about the implementation at repositories.- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFMIN12B..05G
- Keywords:
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- 1904 Community standards;
- INFORMATICS;
- 1930 Data and information governance;
- INFORMATICS;
- 1936 Interoperability;
- INFORMATICS;
- 1940 Machine-to-machine communication;
- INFORMATICS