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Beyond trust and reliability: reusing data in collaborative cancer epidemiology research

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Published:23 February 2013Publication History

ABSTRACT

While previous CSCW research on data sharing and reuse has focused on how researchers assess the trust and reliability of the data of others, we know little about scientists' data use practices after that decision has been taken. This qualitative study of post-doctoral researchers' use of preexisting datasets investigates the practices of cancer-epidemiology post-docs working to understand their "Small Data" datasets. We report the ongoing and iterative nature of information seeking inherent in using unfamiliar data and the time-consuming and highly-collaborative process post-docs used to understand aspects of the dataset important to their scientific questions. Understanding data use practices can help inform the design of both Small Data projects and large cyberinfrastructure projects where multi-source data are collected and combined.

References

  1. Baker, K.S., & Yarmey, L. (2009). Data stewardship: Environmental data curation and a web-of-repositories. International Journal of Digital Curation, 4(2), 1--12.Google ScholarGoogle ScholarCross RefCross Ref
  2. Bietz, M.J., Baumer, E.P.S., & Lee, C.P. (2010). Synergizing in Cyberinfrastructure Development. Computer Supported Cooperative Work, 19(3--4), 3--4. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Bietz, M.J., Ferro, T., & Lee, C.P. (2012). Sustaining the development of cyberinfrastructure: an organization adapting to change. In Proc. CSCW 2012, ACM Press (2012), 901--910. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Bietz, M.J., & Lee, C.P. (2009). Collaboration in Metagenomics: Sequence Databases and the Organization of Scientific Work. In Proc. ECSCW 2009, Springer-Verlag (2009), 243--262.Google ScholarGoogle ScholarCross RefCross Ref
  5. Birnholtz, J.P., & Bietz, M.J. (2003). Data at work: supporting sharing in science and engineering. In Proc. ACM SIGGROUP, ACM Press (2003), 339--348. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Borgman, C.L. (2011). The conundrum of sharing research data. Journal of the American Society for Information Science and Technology, 63(6), 1059--1078. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Edwards, P.N., Batcheller, A.L., Mayernik, M.S., Borgman, C.L., & Bowker, G.C. (2011). Science friction: Data, metadata, and collaboration. Social Studies of Science, 41(5), 667--690.Google ScholarGoogle ScholarCross RefCross Ref
  8. Faniel, I.M., & Jacobsen, T.E. (2010). Reusing Scientific Data: How Earthquake Engineering Researchers Assess the Reusability of Colleagues' Data. Computer Supported Cooperative Work, 19(3--4), 355--375. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Fortier, I., Burton, P.R., Little, J., et al. (2010). Quality, quantity and harmony: The DataSHaPER approach to integrating data across bioclinical studies. International Journal of Epidemiology, 39(5), 1383--1393.Google ScholarGoogle ScholarCross RefCross Ref
  10. Fortier, I., Doiron, D., Little, J., et al. (2011). Is rigorous retrospective harmonization possible? Application of the DataSHaPER approach across 53 large studies. International Journal of Epidemiology, 40(5), 1314--1328.Google ScholarGoogle ScholarCross RefCross Ref
  11. 1Karasti, H., Baker, K., & Halkola, E. (2006). Enriching the Notion of Data Curation in E-Science: Data Managing and Information Infrastructuring in the Long Term Ecological Research (LTER) Network. Computer Supported Cooperative Work, 15(4), 321--358. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Lee, C.P., Dourish, P., & Mark, G. (2006). The Human Infrastructure of Cyberinfrastructure. In Proc. CSCW 2006, ACM Press (2006), 483 - 492. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Lethbridge, T.C., Singer, J., & Forward, A. (2003). How Software Engineers Use Documentation: The State of the Practice. IEEE Software, 20(6). Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. National Postdoctoral Association. 2009. Accessed May 29, 2012. http://www.nationalpostdoc.org/policy/what-is-a-postdocGoogle ScholarGoogle Scholar
  15. National Institutes of Health Research Portfolio Online Reporting Tools (RePORT). 2012. Accessed May 29, 2012. http://report.nih.gov/award/index.cfm?ot=&fy=2011&state=&ic=&fm=&orgid=#tab2Google ScholarGoogle Scholar
  16. Nelson, B. (2009). Data sharing: Empty archives. Nature, 461(7261).Google ScholarGoogle Scholar
  17. Piwowar, H.A. (2011). Who Shares? Who Doesn't? Factors Associated with Openly Archiving Raw Research Data. PloS one, 6(7), e18657.Google ScholarGoogle ScholarCross RefCross Ref
  18. Piwowar, H.A., Day, R. S., & Fridsma, D. B. (2007). Sharing detailed research data is associated with increased citation rate. PloS one, 2(3).Google ScholarGoogle Scholar
  19. Walport, M., & Brest, P. (2011). Sharing research data to improve public health. The Lancet, 6736(10), 9--11.Google ScholarGoogle Scholar
  20. Zimmerman, A. (2007). Not by metadata alone: the use of diverse forms of knowledge to locate data for reuse. International Journal on Digital Libraries, 7(1--2), 5--16. Google ScholarGoogle ScholarDigital LibraryDigital Library

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      cover image ACM Conferences
      CSCW '13: Proceedings of the 2013 conference on Computer supported cooperative work
      February 2013
      1594 pages
      ISBN:9781450313315
      DOI:10.1145/2441776

      Copyright © 2013 ACM

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      Publication History

      • Published: 23 February 2013

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