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Suggested Citation:"References." National Research Council. 2010. Protecting and Accessing Data from the Survey of Earned Doctorates: A Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/12797.
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References

American Statistical Association. (2008). Data Access and Personal Privacy: Appropriate Methods of Disclosure Control. Available: http://www.amstat.org/news/statementondataaccess.cfm [accessed November 2009].

Cox, L.H. (2008). A data quality and data confidentiality assessment of complementary cell suppression. In J. Domingo-Ferrer and Y. Saygin (Eds.), Privacy in Statistical Data Bases 2008 (pp. 13-23). Lecture Notes in Computer Science 5262. Heidelberg: Springer-Verlag.

Duncan, G., and Lambert, D. (1986). Disclosure-limited data dissemination (with comments). Journal of the American Statistical Association, 81, 10-28.

Duncan, G., Keller-McNulty, S., and Stokes, S.L. (2001). Disclosure Risk vs. Data Utility: The R-U Confidentiality Map, Technical Report Number 121. Research Triangle Park, NC: National Institute of Statistical Sciences.

Fienberg, S.E., and Slavkovic, A.B. (2004). Making the release of confidential data from multi-way tables count. Chance,17(3), 5-10.

Little, R. (1993). Statistical analysis of masked data. Journal of Official Statistics, 9(2), 407-426.

National Center for Health Statistics. (2004). NCHS Staff Manual on Confidentiality. Available: http://www.cdc.gov/nchs/data/misc/staffmanual2004.pdf. [accessed June 2009].

National Science Foundation. (2009). Disclosure Protection Strategies for Race/Ethnicity/Gender (REG) Tables for the Survey of Earned Doctorates. Unpublished.

Office of Management and Budget. (2005). Report on Statistical Disclosure Limitation Methodology, Statistical Working Paper #22. Available: http://www.fcsm.gov/working-papers/SPWP22_rev.pdf [accessed November 2009].

Office of Management and Budget. (2006). Implementation Guidance for Title V of the E-Government Act, Confidential Information Protection and Statistical Efficiency Act of 2002 (CIPSEA). Available: http://www.whitehouse.gov/omb/assets/omb/inforeg/proposed_cispea_guidance.pdf [accessed November 2009].

Suggested Citation:"References." National Research Council. 2010. Protecting and Accessing Data from the Survey of Earned Doctorates: A Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/12797.
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Quality Education for Minorities Network. (2009). Outreach Meetings to Provide Feedback to the National Science Foundation’s Science Resources Statistics (SRS) Division on the Impact of Data Suppression in the Survey of Earned Doctorates (SED) Reports. Available: http://www.qem.org/SRS.htm [accessed November 2009].

Reiter, J. (2005). Using CART to generate partially synthetic public use microdata. Journal of Official Statistics, 21(3), 441-462.

Simko, C., and Dominguez, M. (2008). Results from the Survey of Earned Doctorates User Group Web Survey. Chicago: National Opinion Research Center.

Skinner, C., and Shlomo, N. (2008). Assessing identification risk in survey micro-data. Journal of American Statistical Association, 103(483), 989-1001.

Sweeney, L. (2002). K-anonymity: A model for protecting privacy. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, 10(5), 557-570.

Suggested Citation:"References." National Research Council. 2010. Protecting and Accessing Data from the Survey of Earned Doctorates: A Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/12797.
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Page 47
Suggested Citation:"References." National Research Council. 2010. Protecting and Accessing Data from the Survey of Earned Doctorates: A Workshop Summary. Washington, DC: The National Academies Press. doi: 10.17226/12797.
×
Page 48
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The Survey of Earned Doctorates (SED) collects data on the number and characteristics of individuals receiving research doctoral degrees from all accredited U.S. institutions. The results of this annual survey are used to assess characteristics and trends in doctorate education and degrees. This information is vital for education and labor force planners and researchers in the federal government and in academia.

To protect the confidentiality of data, new and more stringent procedures were implemented for the 2006 SED data released in 2007. These procedures suppressed many previously published data elements. The organizations and institutions that had previously relied on these data to assess progress in measure of achievement and equality suddenly found themselves without a yardstick with which to measure progress.

Several initiatives were taken to address these concerns, including the workshop summarized in this volume. The goal of the workshop was to address the appropriateness of the decisions that SRS made and to help the agency and data users consider future actions that might permit release of useful data while protecting the confidentiality of the survey responses.

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