DataStarR: A Data Sharing and Publication Infrastructure to Support Research

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Presentation by Gail Steinhart (Cornell University) at the IAALD 2010 World Congress - 26-29 April 2010, Montpellier, France

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DataStarR: A Data Sharing and Publication Infrastructure to Support Research

  1. 1. : A Data Sharing and Publication Infrastructure to Support Research<br />Gail Steinhart<br />Research Data & Environmental <br />Sciences Librarian<br />Albert R. Mann Library<br />Cornell University<br />IAALD2010<br />
  2. 2. Sharing data advances research<br />http://www.flickr.com/photos/23209605@N00/2216465474/<br />Courtesy of the NAIC - Arecibo Observatory, a facility of the NSF<br />Courtesy of CERN<br />
  3. 3. Sharing data advances research<br /><ul><li>Synthesis
  4. 4. (funders)</li></ul>http://www.flickr.com/photos/23209605@N00/2216465474/<br />Courtesy of the NAIC - Arecibo Observatory, a facility of the NSF<br />Courtesy of CERN<br />
  5. 5. …but sharing data <br />can be difficult.<br />http://www.nature.com/news/specials/datasharing/index.html<br />
  6. 6. …but sharing data <br />can be difficult.<br /><ul><li>Researchers may not want to share
  7. 7. Commercialization potential
  8. 8. Confidentiality concerns
  9. 9. Lack of suitable infrastructure
  10. 10. Lack of time and/or skills</li></ul>http://www.nature.com/news/specials/datasharing/index.html<br />
  11. 11. …but sharing data <br />can be difficult.<br /><ul><li>Researchers may not want to share
  12. 12. Commercialization potential
  13. 13. Confidentiality concerns
  14. 14. Lack of suitable infrastructure
  15. 15. Lack of time and/or skills</li></ul>http://www.nature.com/news/specials/datasharing/index.html<br />
  16. 16. http://datastar.mannlib.cornell.edu/<br />
  17. 17. What is a data staging repository?<br />
  18. 18. Benefits for researchers:<br /><ul><li>Secure sharing
  19. 19. Easy creation of preliminary metadata
  20. 20. Tools for creating detailed metadata (various formats)
  21. 21. Publication assistance
  22. 22. Help for above!
  23. 23. Additional means for discovery
  24. 24. Research group “view”</li></li></ul><li>Caveats:<br /><ul><li>It’s focused on “small science” data sets.
  25. 25. It’s not a preservation repository.</li></li></ul><li>DataStaR architecture<br />
  26. 26. Metadata management<br /><ul><li>Use semantic web technologies to treat metadata as a web of statements, instead of a single document
  27. 27. Adapt existing software (vitro: http://vitro.mannlib.cornell.edu/)
  28. 28. Generate ontologies from metadata schemas, embed in DataStaR</li></ul>Result for users:<br /><ul><li>Consistent interface for creating metadata
  29. 29. Reuse/recombine information</li></li></ul><li>DataStaR partnerships<br /><ul><li>Agriculture, Energy and the Environment Program
  30. 30. Cayuga Lake Watershed Network
  31. 31. Cornell Biological Field Station
  32. 32. Cornell Plantations Natural Areas Program
  33. 33. The Loon Project
  34. 34. Virtual Center for Language Acquisition
  35. 35. Others… (submitted proposals)</li></li></ul><li>
  36. 36. Would something like DataStaR be useful in international agriculture research?<br />
  37. 37. That depends… is there a need for:<br /><ul><li>… preliminary / controlled sharing of research data?
  38. 38. … a new way to promote data publication?
  39. 39. … a semantic approach to metadata?</li></li></ul><li>Thank you.<br />DataStaR team:<br />Brian Caruso<br />Kathy Chiang<br />Jon Corson-Rikert<br />Dianne Dietrich<br />Ann Green<br />Huda Khan<br />Brian Lowe<br />Janet McCue<br />Gail Steinhart - GSS1@cornell.edu<br />This material is based upon work supported by the National Science Foundation under Grant No. III-0712989. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.<br />datastar.mannlib.cornell.edu/<br />
  40. 40. Larger text<br /><ul><li>Smaller text
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  45. 45. Smaller text</li></li></ul><li>DataStaR: A Data Staging Repository<br />The purpose of DataStaR is to support collaboration and data sharing among researchers during the research process, and to promote publishing or archiving data and high-quality metadata to discipline-specific data centers, and/or to Cornell's own digital repository (eCommons@Cornell). <br />http://datastar.mannlib.cornell.edu/<br />

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