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Publishing (Open) Data

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Talk given at ISI CODATA Workshop, Bangalore, India, March 7 2015.

Published in: Science
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Publishing (Open) Data

  1. 1. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress Brian Hole, Founder and CEO ISI CODATA Workshop, Bangalore, 9th March 2015 Publishing (open) data
  2. 2. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress Overview  Why publish open data?  How to publish  When open isn’t possible
  3. 3. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress To return control of publishing to researchers, providing them with the infrastructure and support to advance publishing in ways that legacy publishers are not willing to do. About Ubiquity Press Background Mission  Spun out of University College London in 2012  Researcher-led  Extensive publishing background as well (BioMed Central, PLoS, Elsevier, IOP)  Based in London  Comprehensive approach: journals, books, data, software, hardware, wetware….
  4. 4. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress The Social Contract of Science • Validation • Dissemination • Further development Scientific Malpractice • Data • Results • Software • Hardware, wetware… #@%$#@ % #@%$# Source: http://www.smbc-comics.com/index.php?db=comics&id=2015
  5. 5. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress why publish open data?
  6. 6. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  7. 7. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress Openness ensures integrity
  8. 8. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  9. 9. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  10. 10. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress Openness enables validation of reported results
  11. 11. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  12. 12. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress Openness incentivises rigour in research Wicherts JM, Bakker M, Molenaar D (2011) Willingness to Share Research Data Is Related to the Strength of the Evidence and the Quality of Reporting of Statistical Results. PLoS ONE 6(11): e26828. doi:10.1371/journal.pone.0026828
  13. 13. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress how to publish
  14. 14. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress Searchable: published metadata allows Google search for data files ✗ Confirmable: author can confirm descriptive metadata terms used ✗ Citable: unique identifiers (DOIs) permit citation of data files ? Increased exposure of source journal articles through data citation ? Permanent: data files securely archived in perpetuity ? Linked: datasets linked to article based on them ✔ Metadata will be available as RDF: part of the “web of linked data” ? Curated: quality verified, stable formats used, content virus-checked ? Ease of deposit: authors can upload multiple or zipped files ? Updatable: new versions of data files can be added, with provenance ✗ Embargo: can delay release of data up to one year after publication ✗ Open access: no restrictions for users, no subscription required ? Scalable: many journals and societies can leverage economies of scale ✗ Supplementary data
  15. 15. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress Data repositories • Use of a data repository alone works very well in some disciplines • Genes & gene sequences: GenBank • Drosophila: FlyBase • Clinical trials: clinicaltrials.gov
  16. 16. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress • But using just a repository isn’t always best for other disciplines, and especially the long tail
  17. 17. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress Data repositories that work closely with journals • Provide a home for long-tail data • Dryad: datadryad.org • Zenodo: zenodo.org • Figshare: figshare.com • Integrate with publisher systems • Dataverse: dataverse.org
  18. 18. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress Data journals have begun to appear over the past two years: The data publishing landscape
  19. 19. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  20. 20. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress The basics of the model Data papers are short 1) Low barrier data publication Peer review is quick and objective 2) Online authoring Low APC: £100 / ₹1,000 Lower cost (straight to XML) Encourages shorter form 3) Open access only (CC-BY) 4) The publisher is not the repository No-questions-asked waivers
  21. 21. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress Repositories Modified from: XKCD
  22. 22. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress 1. The paper contents a. The methods section of the paper must provide sufficient detail that a reader can understand how the resource was created. b. The resource must be correctly described. c. The reuse section must provide concrete and useful suggestions for reuse of the reuse. 2. The deposited resource a. The repository must be suitable for resource and have a sustainability model. b. Open license permits unrestricted access (e.g. CC0), or access guaranteed if criteria met (must qualify) c. A version in an open, non-proprietary format. d. Labeled in such a way that a 3rd party can make sense of it. e. Must be actionable. Peer review
  23. 23. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  24. 24. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  25. 25. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  26. 26. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  27. 27. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  28. 28. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  29. 29. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  30. 30. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  31. 31. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  32. 32. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress Integrating data publication within universities
  33. 33. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress when open isn’t possible
  34. 34. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress Frequently cited reasons not to make data open • Consent issues • The data cannot be sufficiently anonymised • The data is commercially valuable • More work to be done and published from the data • Reuse of data could be dangerous • It would take too much work to make it usable by others
  35. 35. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress
  36. 36. brian.hole@ubiquitypress.com www.ubiquitypress.com / @ubiquitypress Any questions? Or please feel free to contact brian.hole@ubiquitypress.com

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