Literature DB >> 715640

Access to social security microdata files for research and statistical purposes.

L A Alexander, T B Jabine.   

Abstract

This article focuses on the characteristics of SSA microdata files and on the development of a disclosure policy aimed at serving the public interest while protecting the privacy of individuals and the confidentiality of research and statistical information. Several dimensions of the disclosure question are explored: A description of the persons (both living and dead) and other entities that are the data subjects; the ability of users to associate known data subjects with information about them; the sources of data; expectations as to recontact of data subjects; and the terms and conditions under which microdata are released to users outside SSA. The factors controlling the decision whether or not to release microdata are discussed. The factors range from those intended to protect the data subject--the criteria specified by law for maintaining confidentiality for example and the principles applied by SSA in assessment of disclosure risk--to those more concerned with agency function, such as financial cost to the agency, and interference with its primary mission. Some particular practices are described to illustrate application of present policy principles. Brief attention is given to future implications of certain current developments such as the Privacy Act, the Sunshine Act, and the Tax Reform Act of 1976.

Entities:  

Mesh:

Year:  1978        PMID: 715640

Source DB:  PubMed          Journal:  Soc Secur Bull        ISSN: 0037-7910


  7 in total

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Authors:  Khaled El Emam; Fida Kamal Dankar; Romeo Issa; Elizabeth Jonker; Daniel Amyot; Elise Cogo; Jean-Pierre Corriveau; Mark Walker; Sadrul Chowdhury; Regis Vaillancourt; Tyson Roffey; Jim Bottomley
Journal:  J Am Med Inform Assoc       Date:  2009-06-30       Impact factor: 4.497

2.  Multicenter patient records research: security policies and tools.

Authors:  F M Behlen; S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1999 Nov-Dec       Impact factor: 4.497

3.  Re-identification Risks in HIPAA Safe Harbor Data: A study of data from one environmental health study.

Authors:  Latanya Sweeney; Ji Su Yoo; Laura Perovich; Katherine E Boronow; Phil Brown; Julia Green Brody
Journal:  Technol Sci       Date:  2017-08-28

4.  De-identification methods for open health data: the case of the Heritage Health Prize claims dataset.

Authors:  Khaled El Emam; Luk Arbuckle; Gunes Koru; Benjamin Eze; Lisa Gaudette; Emilio Neri; Sean Rose; Jeremy Howard; Jonathan Gluck
Journal:  J Med Internet Res       Date:  2012-02-27       Impact factor: 5.428

5.  Methods for the de-identification of electronic health records for genomic research.

Authors:  Khaled El Emam
Journal:  Genome Med       Date:  2011-04-27       Impact factor: 11.117

6.  De-identifying a public use microdata file from the Canadian national discharge abstract database.

Authors:  Khaled El Emam; David Paton; Fida Dankar; Gunes Koru
Journal:  BMC Med Inform Decis Mak       Date:  2011-08-23       Impact factor: 2.796

7.  Evaluating the risk of patient re-identification from adverse drug event reports.

Authors:  Khaled El Emam; Fida K Dankar; Angelica Neisa; Elizabeth Jonker
Journal:  BMC Med Inform Decis Mak       Date:  2013-10-05       Impact factor: 2.796

  7 in total

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