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Satisfaction with Data Reuse: Survey Results from Users of a Social Science Data Archive

Society of American Archivists 2013 Research Forum August 13, 2013 New Orleans, LA. Satisfaction with Data Reuse: Survey Results from Users of a Social Science Data Archive. Adam Kriesberg. PhD Candidate, University of Michigan School of Information akriesbe [at] umich [dot] edu.

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Satisfaction with Data Reuse: Survey Results from Users of a Social Science Data Archive

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  1. Society of American Archivists 2013 Research Forum August 13, 2013 New Orleans, LA Satisfaction with Data Reuse: Survey Results from Users of a Social Science Data Archive Adam Kriesberg PhD Candidate, University of Michigan School of Information akriesbe [at] umich [dot] edu Twitter: @DIPIR_Project

  2. For more information, please visit http://www.dipir.org An Institute for Museum and Library Services (IMLS) funded project led by Dr. Ixchel Faniel and Dr. Elizabeth Yakel. Studying data reuse in three academic disciplines to identify how contextual information about the data that supports reuse can best be created and preserved. Focuses on research data produced and used by quantitative social scientists, archaeologists, and zoologists. The intended audiences of this project are researchers who use secondary data and the digital curators, digital repository managers, data center staff, and others who collect, manage, and store digital information.

  3. The Research Team

  4. Methods Overview

  5. ICPSR Survey Objective and Structure Research Question: What contributes to data reuse satisfaction and intention to continue using ICPSR data among users of the repository? • Survey Structure: 3 Sections • Critical (Data Reuse) Incident Section • Asked about perceptions of data quality • Dependent variable: Satisfaction with data reuse experience • 2. Repository Section • Asked about experiences using ICPSR • Dependent variable: Intention to continue using ICPSR • 3. Demographics

  6. ICPSR Survey Development and Administration • Instrument Development • Adapted items from management and management information systems literature (e.g. Flavian et al., 2006; Lee et al., 2002; Wang and Strong, 1996) • Created new items • Survey Sample • 1,632 first authors of journal articles from the ICPSR Bibliography of Data-Related Literature 2008-2012 • Survey Administration (May – June 2012) • Approximate response rate 16% (usable surveys)

  7. The Data Reusers mean length of time respondents have been reusing data in research 13 years of research conducted by respondents relies on data collected by others 66% feel there is sufficient data available for reuse in their field 62% have contributed data to ICPSR 12%

  8. Demographics: Data Sources Used During Research

  9. Demographics: Data Integrators

  10. Demographics: Job Titles 198 tenure track faculty

  11. Respondents: Academic Disciplines Criminology/ Criminal Justice Economics Medicine/ Public Health Sociology

  12. A Closer Look: Satisfaction by Field

  13. Differences in Satisfaction with the Data Reuse Experience ANOVA Pairwise Comparisons (* = significant at p < 0.05)

  14. Scopus: Average Journal Ranking by Discipline

  15. Discussion • These results represent a small part a larger survey, but what can they tell us? • Different research communities report differing levels of data reuse satisfaction • 41% combined data from multiple datasets during research • Consistency is key to facilitate this type of work • 66% collect their own data, but only 12% contribute to ICPSR • Where are these data? How can repositories identify these datasets? • Next Steps: • Conduct regression analysis to assess main predictors driving satisfaction with data reuse

  16. Acknowledgements • Institute of Museum and Library Services • LG-06-10-0140-10 • PI: Ixchel Faniel, Ph.D., OCLC Research • Co-PI: Elizabeth Yakel, Ph.D., UMSI • Partners: Nancy McGovern, Ph.D. (MIT), Eric Kansa, Ph.D. (Open Context), William Fink, Ph.D. (University of Michigan Museum of Zoology) • Julianna Barrera-Gomez, OCLC Diversity Fellow • Students: Morgan Daniels, Rebecca Frank, Jessica Schaengold, Gavin Strassel, Michele DeLia, Kathleen Fear, Mallory Hood, Molly Haig, Annelise Doll, Monique Lowe

  17. Adam Kriesberg akriesbe [at] umich [dot] edu @adamkriesberg @DIPIR_Project Questions?

  18. ----- Additional Slides -----

  19. Demographics: Data Source for the Critical Incident n=251

  20. A Closer Look: Satisfaction by Field

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