DataStarR: A Data Sharing and Publication Infrastructure to Support Research
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Datastar is a data staging repository designed to facilitate collaboration and data sharing among researchers by providing tools for metadata creation and publication assistance. It addresses challenges in data sharing, such as confidentiality concerns and lack of infrastructure, by offering a semantic approach to metadata management. The repository is particularly focused on supporting smaller-scale research projects and improving data publication practices.
DataStarR: A Data Sharing and Publication Infrastructure to Support Research
- 1. : A Data Sharing and Publication Infrastructure to Support ResearchGail SteinhartResearch Data & Environmental Sciences LibrarianAlbert R. Mann LibraryCornell UniversityIAALD2010
- 2. Sharing data advances researchhttp://www.flickr.com/photos/23209605@N00/2216465474/Courtesy of the NAIC - Arecibo Observatory, a facility of the NSFCourtesy of CERN
- 3. Sharing data advances researchSynthesis
- 4. (funders)http://www.flickr.com/photos/23209605@N00/2216465474/Courtesy of the NAIC - Arecibo Observatory, a facility of the NSFCourtesy of CERN
- 5. …but sharing data can be difficult.http://www.nature.com/news/specials/datasharing/index.html
- 6. …but sharing data can be difficult.Researchers may not want to share
- 9. Lack of suitable infrastructure
- 10. Lack of time and/or skillshttp://www.nature.com/news/specials/datasharing/index.html
- 11. …but sharing data can be difficult.Researchers may not want to share
- 14. Lack of suitable infrastructure
- 15. Lack of time and/or skillshttp://www.nature.com/news/specials/datasharing/index.html
- 17. What is a data staging repository?
- 18. Benefits for researchers:Secure sharing
- 19. Easy creation of preliminary metadata
- 20. Tools for creating detailed metadata (various formats)
- 22. Help for above!
- 23. Additional means for discovery
- 24. Research group “view”Caveats:It’s focused on “small science” data sets.
- 25. It’s not a preservation repository.DataStaR architecture
- 26. Metadata managementUse semantic web technologies to treat metadata as a web of statements, instead of a single document
- 27. Adapt existing software (vitro: http://vitro.mannlib.cornell.edu/)
- 28. Generate ontologies from metadata schemas, embed in DataStaRResult for users:Consistent interface for creating metadata
- 29. Reuse/recombine informationDataStaR partnershipsAgriculture, Energy and the Environment Program
- 30. Cayuga Lake Watershed Network
- 31. Cornell Biological Field Station
- 32. Cornell Plantations Natural Areas Program
- 33. The Loon Project
- 34. Virtual Center for Language Acquisition
- 36. Would something like DataStaR be useful in international agriculture research?
- 37. That depends… is there a need for:… preliminary / controlled sharing of research data?
- 38. … a new way to promote data publication?
- 39. … a semantic approach to metadata?Thank you.DataStaR team:Brian CarusoKathy ChiangJon Corson-RikertDianne DietrichAnn GreenHuda KhanBrian LoweJanet McCueGail Steinhart - GSS1@cornell.eduThis 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.datastar.mannlib.cornell.edu/
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- 45. Smaller textDataStaR: A Data Staging RepositoryThe 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). http://datastar.mannlib.cornell.edu/