Recommandé
Contenu connexe
Tendances
En vedette
En vedette (7)
Similaire à Data citations: who cares?
Similaire à Data citations: who cares? (20)
Plus de Heather Piwowar
Plus de Heather Piwowar (20)
Dernier
Dernier (20)
Data citations: who cares?
- 1. Data citation... Who cares? Heather Piwowar DataONE postdoc with Dryad and NESCent DataONE summer internship meeting July 7, 2010
- 11. Probably.
- 12. In theory.
- 13. ?
- 14. • Genbank • PDB
- 15. http://www.oxfordjournals.org/ nar/database/cap/
- 17. Data citation...
- 18. paper dataset paper dataset dataset paper dataset paper dataset paper dataset paper
- 19. • Alas, no unique standard identifier • URL • accession number • DOI • citation to paper • citation to database • reference to supplementary material • search strategy
- 20. Example: full-text phrases containing “... accessed”
- 21. “submitted”
- 22. “downloaded”
- 23. • Citations are indexed and machine-extractable
- 24. paper dataset paper dataset dataset paper dataset paper dataset paper dataset paper
- 25. • understand current practice • articulate the best best-practices
- 26. paper dataset paper dataset dataset paper dataset paper dataset paper dataset paper
- 27. Who cares?
- 28. 1. Data creators • personal reward • motivation: • “if it really helped” • even esoteric datasets are useful • how prevalent is scooping? • alert to possible misuses • grounded requirements
- 29. 2. Data reusers • clear guidelines are helpful • what has been reused, for what? • what hasnʼt?
- 30. 3. Repository creators, maintainers • funding • how much metadata • how to format • what additional tools are useful • lifecycle of data
- 31. 4. Funders • most, best science for their money • cost/benefit of mandate • inform funding decisions: • what has been extra useful? • what hasnʼt? • what support is needed
- 32. 5. Journals • increasingly called upon to mandate or fund: • how to decide • how to rationalize • another avenue to compete
- 33. 6. Information scientists • extension of citation analysis for studying information behaviour
- 34. 6. Me
- 36. Articles published in journals with a strong data-sharing policy are more likely to have publicly available datasets
- 37. Reuse estimate • 2703 submissions in 2007 • GSE* in PubMed Central • Exclude author overlap • Exclude data creation • automatically, manually • 139 • 520
- 41. 7. You
- 42. 8. Your mom
- 43. 9. These mice http://www.flickr.com/photos/ryanr/142455033/
- 44. 10. Scientific progress • trace errors, fraud • increase transparency • more efficient and effective
- 45. you can not manage what you do not measure quote: Lord Kelvin http://www.flickr.com/photos/archeon/2941655917/
- 46. science about our science
- 48. Thanks to: NSF, DataONE, NESCent, Dryad UBC Dept of Zoology NLM, U of Pittsburgh Dept of Biomedical Informatics Open science online community and those who release their articles, datasets and photos openly questions?