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Kimball's failed replication of Reinhart-Rogoff finding cited in argument for tempered public response to social science research results

Edin and Shaefer's book on destitute families in America reviewed in NYT

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Deirdre Bloome wins ASA award for work on racial inequality and intergenerational transmission

Bob Willis awarded 2015 Jacob Mincer Award for Lifetime Contributions to the Field of Labor Economics

David Lam is new director of Institute for Social Research

Elizabeth Bruch wins Robert Merton Prize for paper in analytic sociology

Next Brown Bag

Monday, Oct 12
Joe Grengs, Policy & Planning for Social Equity in Transportation

Myron Gutmann photo

Providing Spatial Data for Secondary Analysis: Issues and Current Practices Relating to Confidentiality

Publication Abstract

Gutmann, Myron, Kristine M. Witkowski, Corey Colyer, O'Rourke JoAnne McFarland, and James McNally. 2008. "Providing Spatial Data for Secondary Analysis: Issues and Current Practices Relating to Confidentiality." Population Research and Policy Review, 27(6): 639-665.

Spatially explicit data pose a series of opportunities and challenges for all the actors involved in providing data for long-term preservation and secondary analysis-the data producer, the data archive, and the data user. We report on opportunities and challenges for each of the three players, and then turn to a summary of current thinking about how best to prepare, archive, disseminate, and make use of social science data that have spatially explicit identification. The core issue that runs through the paper is the risk of the disclosure of the identity of respondents. If we know where they live, where they work, or where they own property, it is possible to find out who they are. Those involved in collecting, archiving, and using data need to be aware of the risks of disclosure and become familiar with best practices to avoid disclosures that will be harmful to respondents.

DOI:10.1007/s11113-008-9095-4 (Full Text)

PMCID: PMC2600804. (Pub Med Central)

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