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Where Have We Been & Where Are We Going?


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Closing Remarks at the FORCE 2015 Conference in Oxford UK, Jan 13, 2015.

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Where Have We Been & Where Are We Going?

  1. 1. Where Have We Been & Where Are We Going? Philip E. Bourne, Ph.D. Associate Director for Data Science
  2. 2. Its 4 years since many of us stood before the bear.. What has been accomplished?
  3. 3. I decided to crowd source an albeit biased answer to that question
  4. 4. Major Contributors (In Order): Policy • Funder mandates • Journals requiring data accessibility • Joint declaration of data sharing principles • Gates foundation • Peer review – Open – Post publication – Independent e.g., axios
  5. 5. Major Contributors (In Order): Software • GitHub • R • Dropbox • Google Docs • Impact Story • eNotebooks • MathJax
  6. 6. Major Contributors (In Order): Methodology • Crowdfunding • Prepublication servers • Open worm – crowd funding – 60 developers • Software carpentry
  7. 7. Major Contributors (In Order): Standards • Orcid
  8. 8. Major Contributors (In Order): Resources • Figshare • Wikidata • Dryad • Twitter • Blogs
  9. 9. Major Contributors (In Order): Other • Altmetrics • Social reference management • Growing awareness of research expertise eg Vivo • Data science as a profession • Resource Identification Initiative • Ioannidis work • Mega journals
  10. 10. Perhaps More of an Unbiased View?
  11. 11. My Personal View • Pluses – The strength and breadth of the FORCE community – The emergence of other related communities – Funder mandates – The worldwide focus on data {sharing} • Minuses – That not more has been done with the OA corpus – OA impact has been minimal – Top down and bottom up have yet to be truly synergistic – The global community is not united (HIROs)
  12. 12. The Way Forward is 3-Fold Community Policy Infrastructure • Sustainability • Collaboration • Training
  13. 13. A point of note: Both EBI in the EU and NLM in the US will soon assume new leadership This is a major opportunity
  14. 14. Community Policy Infrastructure The library has a tradition of supporting community, being an infrastructure to maintain knowledge and in the case of NLM a place to set policy
  15. 15. What should the library / data center of the future look like and can that view inform our future objectives?
  16. 16. The library (or whatever it is called) should curate, catalog, preserve, and disseminate the complete digital research lifecycle You can also imagine this model extending to physical artifacts
  17. 17. “Publishing” should involve review (or not) and subsequent change in the access control of all or parts of that research lifecycle
  18. 18. Individual Research Objects within a lifecycle should be referenced and described Temporal order should be maintained Languages will describe, compare, relate and analyze such lifecycles
  19. 19. Collections (Formally Databases) Particular collections of curated research objects that can be reviewed within the research lifecycle and as part of a collective analysis Collections are persistent or dynamic
  20. 20. This is a different model than we have today but there are signs and also resistance • Signs – Institutional repositories run by libraries – Academic presses (?) – Preservation of workflows – Portals • Resistance – Publishers punting on data and software – Reward structure ingrained – Few funding opportunities
  21. 21. It Will Be Interesting to See What Evolves Thank You!