This document provides an overview of Europe PubMed Central, a repository for life science literature built in collaboration with PubMed Central USA and Canada. It contains over 28 million abstracts and 2.5 million full text articles, with 600k open access articles. The document outlines reasons to use Europe PMC including integrated searching of abstracts and full text, semantic enrichment of text, and citation linking. It also discusses providing credit for authors, funders, and data through features like author search and linking publications to ORCID profiles. Tools are being developed for database curators to monitor when data is cited in articles.

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