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Data Preservation through Data Archives

Published online by Cambridge University Press:  15 January 2010

Jeremy J. Albright
Affiliation:
Inter-university Consortium for Political and Social Research
Jared A. Lyle
Affiliation:
Inter-university Consortium for Political and Social Research

Extract

Science functions best within a liberal democracy. Every hypothesis test is an expression of doubt, as it carries with it the implication that a particular presumption may be incorrect (Kruschke 1998), whereas authoritarianism punishes challenges to prescribed beliefs. Consequently, science can lead to true innovation and improvements in knowledge only when laws and social norms permit dissent.

Type
Symposium
Copyright
Copyright © American Political Science Association 2010

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References

Altman, Micah, and King, Gary. 2007. “A Proposed Standard for the Scholarly Citation of Quantitative Data.” D-Lib Magazine 13 (March/April). http://gking.harvard.edu/files/abs/cite-abs.shtml.Google Scholar
Benoit, Kenneth, and Laver, Michael. 2006. Party Policy in Modern Democracies. London: Routledge.CrossRefGoogle Scholar
Bethlehem, Jelke G., Keller, Wouter J., and Pannekoek, Jeroen. 1990. “Disclosure Control of Microdata.” Journal of the American Statistical Association 85 (409): 3845.CrossRefGoogle Scholar
Blue Ribbon Task Force on Sustainable Digital Preservation, and Access. 2008. “Sustaining the Digital Investment: Issues and Challenges of Economically Sustainable Digital Preservation.” http://brtf.sdsc.edu/biblio/BRTF_Interim_Report.pdf.Google Scholar
Committee on Ensuring the Utility, and Integrity of Research Data in a Digital Age. 2009. Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age. National Academy of Sciences. Washington, D.C.: National Academies Press.http://books.nap.edu/catalog.php?record_id=12615&utm_medium=etmail&utm_source=National%20Academies%20Press&utm_campaign=NAP+mail+new+08.05.09&utm_content=Downloader&utm_term=.Google Scholar
Consultative Committee for Space Data Systems. 2002. “Reference Model for an Open Archival Information System (OAIS).” http://public.ccsds.org/publications/archive/650x0b1.pdf.Google Scholar
Dewald, William G., Thursby, Jerry G., and Anderson, Richard G.. 1986. “Replication in Empirical Economics: The Journal of Money, Credit, and Banking Project.” American Economic Review 76: 587603.Google Scholar
Domingo-Ferrer, Josep, and Torra, Vicenc. 2001. “Disclosure Control Methods and Information Loss for Microdata.” In Confidentiality, Disclosure, and Data Access: Theory and Practical Application for Statistical Agencies, ed. Doyle, Pat, Lane, Julia J., Theeuwes, Jules J. M., and Zayatz, Laura M.. New York: Elsevier Science Pub Co.Google Scholar
Fowler, Linda L. 1995. “Replication as Regulation.” PS: Political Science and Politics 28(3): 478–81.Google Scholar
Freese, Jeremy. 2007. “Replication Standards for Quantitative Social Science: Why Not Sociology?Sociological Methods Research 36 (2): 153–72.CrossRefGoogle Scholar
Holden, Constance. 2009. “Paper Retracted Following Genome Data Breach.” Science 325: 1486–487.CrossRefGoogle ScholarPubMed
Hooghe, Liesbet, Bakker, Ryan, Brigevich, Anna, de Vries, Catherine, Edwards, Erica, Marks, Gary, Rovny, Jan, Steenbergen, Marco, and Vachudova, Milada. 2008. “Reliability and Validity of Measuring Party Positions: The Chapel Hill Expert Surveys of 2002 and 2006.” Unpublished Manuscript. Chapel Hill, NC.Google Scholar
Inter-university Consortium for Political, and Social Research. 2009. Guide to Social Science Data Preparation and Archiving: Best Practices Throughout the Data Life Cycle. 4th ed. Ann Arbor, MI. http://www.icpsr.umich.edu/icpsrweb/ICPSR/access/dataprep.pdf.Google Scholar
Jasso, Guillermina. 1985. “Marital Coital Frequency and the Passage of Time: Estimating the Separate Effects of Spouses' Ages and Marital Duration, Birth and Marriage Cohorts, and Period Influences.” American Sociological Review 50: 224–41.CrossRefGoogle Scholar
Jasso, Guillermina. 1986. “Is it Outlier Deletion or Is it Sample Truncation? Notes on Science and Sexuality.” American Sociological Review 51: 738–42.CrossRefGoogle Scholar
Kahn, Joan R., and Udry, J. Richard. 1986. “Marital Coital Frequency: Unnoticed Outliers and Unspecified Interactions Lead to Erroneous Conclusions.” American Sociological Review 51: 734–37.CrossRefGoogle Scholar
King, Gary. 1995. “Replication, Replication.” PS: Political Science and Politics 28: 444452.Google Scholar
King, Gary. 2003. “The Future of Replication.” International Studies Perspectives 4: 100–05.Google Scholar
Kruschke, John. 1998. “Teaching Statistics as an Expression of Liberty.” Speech at the 31st Annual Meeting of the Society for Mathematical Psychology, August 8.Google Scholar
Long, J. Scott. 2008. The Workflow of Data Analysis Using Stata. College Station, TX: Stata Press.Google Scholar
Mayda, Jackey E., Mohl, Christopher, and Tambay, Jean-Louis. 1996. “Variance Estimation and Confidentiality: They Are Related!” Proceedings of the Survey Methods Section, Statistical Society of Canada 135–141. http://www.ssc.ca/survey/documents/SSC1996_J_Mayda.pdf.Google Scholar
O'Rourke, JoAnne McFarland. 2003. “Disclosure Analysis at ICPSR.” ICPSR Bulletin (Fall): 3–10.Google Scholar
Paass, Gerhard. 1988. “Disclosure Risk and Disclosure Avoidance for Microdata.” Journal of Business and Economic Statistics 6 (4): 487500.CrossRefGoogle Scholar
Park, Inho. 2008. “PSU Masking and Variance Estimation in Complex Surveys.” Survey Methodology 34 (2): 183–94.Google Scholar
Raghunathan, Trivellore E., Reiter, Jerry P., and Rubin, Donald B.. 2003. “Multiple Imputation for Statistical Disclosure Limitation.” Journal of Official Statistics 19 (1): 116.Google Scholar
Seneca, Tracy. 2009. “The Web-at-Risk at Three: Overview of an NDIIPP Web Archiving Initiative.” Library Trends 57 (3): 427–41.CrossRefGoogle Scholar
Templ, Matthias. 2008. “Statistical Disclosure Control for Microdata Using the R-Package sdcMicro.” Transactions on Data Privacy 1: 6785.Google Scholar
Vardigan, Mary, Heus, Pascal, and Thomas, Wendy. 2008. “Data Documentation Initiative: Toward a Standard for the Social Sciences.” The International Journal of Digital Curation 1 (3): 107–13. http://www.ijdc.net/index.php/ijdc/article/view/66/66.CrossRefGoogle Scholar
Willenborg, Leon, and de Waal, Ton. 2001. Elements of Statistical Disclosure Control. New York: Springer-Verlag, Inc.CrossRefGoogle Scholar
Zayatz, Laura. 2006. “Disclosure Avoidance Practices and Research at the US Census Bureau: An Update.” US Census Bureau Research Report Series. http://www.census.gov/srd/papers/pdf/rrs2005-06.pdf.Google Scholar