Access to open data through open access articles in the life sciences
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The document discusses the integration of literature and data in the life sciences, highlighting resources such as PubMed Central and various databases that hold substantial amounts of open access articles and genomic data. It emphasizes the importance of data citation and its implications for scientific impact, operational improvements for publishers, and the growth of citation networks. Additionally, it mentions several case studies and the collaboration of various institutions in advancing this integration.
Access to open data through open access articles in the life sciences
- 1. Literature-Data Integration in the Life Sciences Lisbon, Oct 2nd 2012
- 2. Publications and Data Sources
- 3. Europe PubMed Central 26 million abstracts 2.3 million full text articles Citation networks Database links Text-mining 2006 2011 2012 2016?
- 4. How many open access articles in UKPMC? PubMed (995K) UKPMC (18%,182K) OA (9.6%, 96K) 200 200 200 200 200 200 200 200 200 20 20 Publication Date Total: 489,000 OA articles
- 5. 45000 • Big data 300 European Nucleotide Archive Ensembl and Ensembl Genomes Nucleotides (millions) 40000 250 35000 • Thematic data 30000 200 Genomes 25000 150 20000 • Public data 15000 10000 100 50 • Archived data 5000 0 0 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 Year 14000000 25000 Year 12000000 UniProt InterPro 20000 10000000 Entries • Two petabytes of data Entries 8000000 15000 • Scales to 7 pbs raw disk 6000000 10000 4000000 • Majority is DNA 5000 2000000 0 0 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 Year Year 500000 70000 450000 ArrayExpress PDBe Hybridisations 400000 60000 Structures 350000 50000 300000 40000 250000 200000 30000 150000 20000 100000 10000 50000 0 0 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 Year Year Figure 2. Growth of key resources
- 6. Literature citation from data vs Data referal from literature
- 7. PMC336623 Extended to several other biological data types
- 8. Literature citation from data 800 K • Proteins • Nucleotides • OMIM • Chemicals • Structure • Clinical reviews 370 K • Protein families • Protein-protein interactions • Gene expression experiments 110 K
- 9. Data referral from literature: text mining Semantic Type Unique Terms Articles Annotations Accession No. 233,017 66,356 387,787 Chemical 76,712 1,694,385 83,923,066 Disease 171,692 1,768,214 57,821,871 Gene/Protein 227,318 1,310,382 77,189,022 GO Terms 32,664 1,832,294 65,061,579 Organism 180,637 1,713,280 70,832,222 2.3 million articles
- 10. Annotation of accession numbers (OA) 100 100 90 90 80 80 70 70 60 60 50 publisher-annotated 50 text-mined 40 40 30 30 20 20 10 10 0 0 ~10,000 articles >25,000 articles BMC Genomics: 1,484 TM tagged, 4,337 articles (1135 tagged) PLoS One: 4,226 TM tagged, 42,888 articles SenayKafkas and Jee-Hyub Kim
- 11. Why is this important? Implications Scientific: Linking articles that cite the same data Citation: Data Citation as measure of impact (Thomson: Data citation index) Context of data citation: submission, reuse, analysis Operational: Services for publishers to improve Accession number tagging Editorial policies and adherence Extension of NLM DTD Lessons learned for considering unstructured data That we can perform this analysis at all highlights a benefit of Open Access
- 12. Case Study of an FP7-funded article (1)
- 13. Case Study of an FP7-funded article (2)
- 14. Europe PubMed Central content map Abstract Full text Citing articles Unstructured Datasets Databases Extracted terms Citing articles
- 15. AY387398: needle in a haystack
- 16. Europe PubMed Central and Institutional Repositories: content matching Number of article IDs OpenAIRE plus **Coming soon: RESTful interface for data linked to articles
- 17. People • Paula Buttery • Rebholz Group • Andrew Caines • Peter Stoehr • Norman Cobley • Yuci Gou • University of Manchester • SenayKafkas • British Library • JyothiKaturi • Oliver Kilian • OpenAIRE/OpenAIRE Plus • Jee-Hyub Kim • Nikos Marinos • NCBI, NLM • Jo McEntyre • Xingjun Pi • Philip Rossiter