1 / 18

DATA SHARING ACROSS THE DISCIPLINES:

Terrence Bennett, The College of New Jersey Joel Herndon, Duke University Shawn Nicholson, Michigan State University Robert O’Reilly, Emory University. DATA SHARING ACROSS THE DISCIPLINES:. An empirical study. Data Sharing in the Social Sciences. An Introduction/Overview.

kylia
Télécharger la présentation

DATA SHARING ACROSS THE DISCIPLINES:

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. IASSIST: May 27, 2009 Terrence Bennett, The College of New Jersey Joel Herndon, Duke University Shawn Nicholson, Michigan State University Robert O’Reilly, Emory University DATA SHARING ACROSS THE DISCIPLINES: An empirical study

  2. Data Sharing in the Social Sciences IASSIST: May 27, 2009

  3. An Introduction/Overview • What is “Data Sharing”? • Measures of Data Sharing • Barriers/Obstacles to Data Sharing • [Context – Data Associated with Individual Researchers and Their Publications] IASSIST: May 27, 2009

  4. What is Data Sharing? Source : Toothpaste for Dinner 8/12/08 http://www.toothpastefordinner.com/081208/online-privacy-advocate.gif IASSIST: May 27, 2009

  5. What is Data Sharing? • The Data Themselves • The Documentation/Metadata (alas, not always forthcoming!) • Code/Procedures Used to Assemble the Data, Transform Them, and Perform the Published Analysis • Necessary for Quantitative Research to be Replicable IASSIST: May 27, 2009

  6. Data Sharing and Replication • “Authors of quantitative empirical articles must make their data available for replication purposes … Required material would include all data, specialized computer programs, program recodes, and an explanatory file describing what is included and how to reproduce the published results.” • [taken from statement on “Minimum Replication Standards for International Relations Journals,” International Studies Perspectives (2003) 4, p. 105] IASSIST: May 27, 2009

  7. Measuring Data Sharing • Our Approach – Academic Journals and Archives for Publication-Related Data • Journals – Major Journals in the Social Sciences • Archives – ICPSR Publications-Related Archive and Harvard DVN ScholarVerses IASSIST: May 27, 2009

  8. Social Science Journals • Economics • International Relations • Political Science • Sociology • Examine Data-Sharing Policies in 2003 and in 2009 • Journals Selected Based on JCR Citation Rankings, Following Approach of Gleditsch and Metelits (2003) IASSIST: May 27, 2009

  9. Data Sharing Index for Journals • Does journal have an explicit policy? • Terms of Policy • Materials Required • Description of Data • Data Themselves • Code for Analysis and for Transformation of Data • Timeframe for Submission • Location for Sharing IASSIST: May 27, 2009

  10. Findings: Social Science Journals IASSIST: May 27, 2009

  11. Examples of Journal Policies • American Political Science Review – authors should describe data in sufficient data so that readers can “understand and evaluate” what authors have done, but no requirement to share actual data • International Organization – authors are “strongly” encouraged to share data and code, but not required to do so • Review of Economic Studies – reserves right to refuse publication if policies are not met IASSIST: May 27, 2009

  12. The Many Forms of Data Sharing • Citation as Sharing • Informal Sharing By Request • Personal/Faculty Website • Institutional Repositories • Journal Archives/Sites • Data Archives IASSIST: May 27, 2009

  13. Scholarly Data Archives • IQSS DVN • “Scholar Dataverses” Created Each Year Since 2007 • 139 ScholarVerses, Including 2 Not Yet Public • ICPSR • Publications-Related Archive and New Deposits Each Year • 36 New Deposits Since 2007 (353 Studies in Total) IASSIST: May 27, 2009

  14. Findings: Scholar Data Archives IASSIST: May 27, 2009

  15. Barriers/Obstacles to Sharing • Data Sharing in the Social Sciences is Not Necessarily the Norm • Reasons: • Confidential Data • Proprietary Data • Incentives – Time/Effort • “Documentation, for instance, is often thought of as a waste of time” (Gleditsch and Metelits (2003), p. 73) • Incentives – Professional Considerations IASSIST: May 27, 2009

  16. Selected Bibliography • http://library.duke.edu/data/files/iassist09/sources.pdf IASSIST: May 27, 2009

  17. Acknowledgements • Special Thanks to the Following People: • Kevin Condon, Harvard-MIT Data Center • Jared Lyle, ICPSR • Amy Pienta, ICPSR • Various Journal Editors in Economics • Various Journal Editors in Political Science • Various Journal Editors in Sociology IASSIST: May 27, 2009

  18. Questions From the Audience? IASSIST: May 27, 2009

More Related