Mcentyre dryad-orcid_may2013
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Johanna McEntyre keynote presentation at the ORCID Outreach meeting, Oxford UK, 23 May 2013.
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Mcentyre dryad-orcid_may2013
- 1. Europe PubMed Central attribution and credit ORCID - Dryad Symposium on Research Attribution May 23rd 2013
- 2. • Europe PubMed Central overview
- 3. • A repository for the life science literature • Built in collaboration with PubMed Central USA (+ PMC Canada) since 2006 • Led by EMBL-EBI, with the British Library, and the University of Manchester • Supported by 20 European life science funders, led by the Wellcome Trust. • Built in the context of life science databases at EMBL-EBI
- 4. Europe PubMed Central • 28 million abstracts • 2.5 million full text articles (600K OA) • Website • Programmatic access
- 5. Four reasons to use Europe PMC • Search abstracts and full text in the same interface • Semantic enrichment of full text • Link to databases that cite articles • Citation counts for articles (and sort order)
- 7. • Credit for Authors
- 8. New Author Search Features
- 9. • Data Citation in Full Text Articles
- 10. gen pdb refsnp omim sprot pfam arrayexpress refseq ensembl interpro DOIs Data Citation in Europe PMC articles ~125,000 articles (out of 2.6 million) For example Kafkas S, Kim JH, and McEntyre JR Database Citation in Full Text Articles, PLoS One
- 11. Tools for database developers and curators • When people publish articles, they cite data • When people make data depositions, or curate database records, they cite articles • RSS feed alerts when data is cited and unknown to database Senay Kafkas Jee-Hyub Kim
- 12. Some observations about data citation in research articles • High precision • Low frequency (5% of papers or less) • Re-use by submitting authors is common • Requirement to parse submission from reuse statements • Well-cited articles cite well-cited data, but on an entirely different scale • Significant proportion of data being cited is not primary data, but rather views/syntheses of primary data
- 13. • Credit for Funders
- 14. Clear funding information on records
- 15. Search for total articles and full text
- 16. API on over 50,000 grants from the 20 Europe PMC Funders Developed by MIMAS - Enrich grant data in Manuscript Submission Systems GRIST
- 17. • Credit for data mining algorithms • Credit for data sets in repositories
- 18. Labs LinkOut Text mining algorithmsDatabases and Institutional Repositories
- 19. • Managing Credit for Authors and Contributors
- 21. Start at ORCID Select “Link publications to ORCID Using Europe PMC” Use Europe PMC to add Publications to your ORCID Send to ORCID Linking Publications to ORCID via Europe PMC
- 23. PMC336623 Extended to many other biological data types
- 24. People EBI Yuci Gou Florian Graf Senay Kafkas Jyothi Katuri Oliver Killian Jee-Hyub Kim Nikos Marinos Jo McEntyre Andrew Morrison Xingjun Pi Philip Rossiter Francesco Talo Vid Vartek University of Manchester Sophia Ananiadou, NaCTeM John McNaught, NaCTeM Bill Black, NaCTeM Ross Macintyre, Mimas Vic Lyte, Mimas Davis Chaplin, Mimas Yogesh Patel, Mimas Simon Hubbard British Library Anna Kinsey Lee-Ann Coleman Rob Rowbotham Craig Hawkins Sami Mansoor OpenAIRE plus collaborators
Notes de l'éditeur
- Perhaps will emerge as important as we go forward, built in the context of core databases @ EBI
- We hope to use this linking tool at the EBI as we move forward with the incorporation of ORCIDs into our own institutional reporting wokrflows
- Using this in the EMBL-EBI as we go forward in using ORCIDs within our own internal reporting systems and workflows
- The success story of thecollaboration between journals and databases regarding data management came out of a combination of vision and need in the scientific and publishing communities, combined with direct engagement with the scientists themselves. ORCIDs provide us with further opportunity to further build and make those relationships more apparent, but it is key to engage scientists, most of which will need to see value in order to subscribe and build this behavior in as standard, just as submitting data to sequence databases is now.