Analyzing data about our data

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#RDS2013 presentation by Heather Piwowar

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Analyzing data about our data

  1. 1. Analyzing Data about our Data Heather  Piwowar  @researchremix   cofounder,  ImpactStory.    Postdoc  at  NESCent.some photos NC, SA #RDS2013  
  2. 2. We want to understandthe impact of our datasets
  3. 3. Something that wedata-people often forget:
  4. 4. IMPACT ISN’T JUST CITATIONS
  5. 5. Many types of engagement: • views • saves • discussions • formal references • recommendations
  6. 6. Many engagement groups: • researchers • teachers • students • policy makers • practitioners
  7. 7. journal article citationformal referencefrom a scholar
  8. 8. journal article in-text linkformal referencefrom a scholar
  9. 9. blog in-text linkinformal discussionfrom a scholar
  10. 10. tweet in-text linkinformal discussionfrom a scholar... or a teacher, student,policy maker, ...
  11. 11. Mendeley,delicious bookmarksaveby someonefor some reason :)
  12. 12. GitHub starrecommendationby someone
  13. 13. http://www.flickr.com/photos/pixscapes/4331070047
  14. 14. AnalyzeData about our Data
  15. 15. Impact flavour CC-BY-NC by maniacyak on flickr http://www.flickr.com/photos/maniacyak/3432589472
  16. 16. How can we do this?What is possible now?What data exists, and howcan we analyze it?
  17. 17. Open metrics, with context, for diverse products.! Board: Cameron Neylon John Wilbanks
  18. 18. Also:Altmetric.comPlum AnalyticsData Citation Index
  19. 19. 1. More data about our data
  20. 20. a) More metrics exposed
  21. 21. http://dx.doi.org/10.5061/dryad.18
  22. 22. http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/3131/utilization
  23. 23. http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/3131/utilization
  24. 24. http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/3131/utilization
  25. 25. b) More support for all types of engagement
  26. 26. Today: full pallet for articles
  27. 27. Tools to support all stagesof web-native engagementstill lacking for datasets. #callToAction
  28. 28. c) more derived metrics, more context
  29. 29. 2) More open
  30. 30. http://www.flickr.com/photos/quinnanya/2055471833
  31. 31. OPEN text mining of articlesOPEN data from reposOPEN metrics from aggregators
  32. 32. 1. More data about our data2. More open
  33. 33. 3. More awareness
  34. 34. http://datapub.cdlib.org/nsf-now-allows-data-in-biosketch- accomplishments/ Piwowar H. (2013).Value all research products, Nature, 493 (7431) 159-159. DOI: 10.1038/493159a
  35. 35. Drive demandDrive change
  36. 36. 1. More data about our data2. More open3. More awareness
  37. 37. http://www.flickr.com/photos/blmurch/722900022/
  38. 38. thank you!Jason Priem: cofounder of ImpactStoryAlso: Todd Vision, Mike Whitlock, the open science community, and those who release their articles, datasets and photos openly. blog.ImpactStory.org team@ImpactStory.org @ImpactStory ImpactStory.org

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