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Data Access and Research Transparency in the Quantitative Tradition

Published online by Cambridge University Press:  29 December 2013

Arthur Lupia  and
George Alter
Arthur Lupia
Affiliation:
University of Michigan
George Alter
Affiliation:
University of Michigan
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Extract

The number of people conducting scientific analyses and the number of topics being studied are higher than ever. At the same time, there are questions about the public value of social scientific endeavors, particularly of federally funded quantitative research (Prewitt 2013). In this article, we contend that data access and research transparency are essential to the public value of the enterprise as a whole and to the credibility of the growing number of individuals who conduct such research (also see Esterling 2013).

Type
Symposium: Openness in Political Science
Information
PS: Political Science & Politics , Volume 47 , Issue 1 , January 2014 , pp. 54 - 59
Copyright
Copyright © American Political Science Association 2014 

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References

REFERENCES

Acord, Sophia Krzys, and Harley, Diane. 2012. “Credit, Time, and Personality: The Human Challenges to Sharing Scholarly Work Using Web 2.0.” New Media and Society 15: 379–97.CrossRefGoogle Scholar
Adam, Nabil R., and Worthmann, John C.. 1989. “Security Control Methods for Statistical Databases.” Association for Computing Machinery: Computing Surveys 21 (4): 515–56.Google Scholar
Aldrich, John H., and McGraw, Kathleen. 2011. Improving Public Opinion Surveys: Interdisciplinary Innovation and the American National Election Studies. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Altman, Micah, and King, Gary. 2007. “A Proposed Standard for the Scholarly Citation of Quantitative Data.” D-lib Magazine 13 (3-4). Cited on September 20, 2013 from http://www.dlib.org/dlib/march07/altman/03altman.html.Google Scholar
American Economic Association. 2013. “American Economic Review: Data Availability Policy 2013.” Cited June 18, 2013. Available from http://www.aeaweb.org/aer/data.php.Google Scholar
American Political Science Association. 2012. “Proposed Changes to Ethics Guide.” Cited September 20, 2013 from http://www.apsanet.org/content_2483.cfm.Google Scholar
Berent, Matthew, Krosnick, Jon A., and Lupia, Arthur. 2013. Coding Open-ended Answers to Office Recognition Questions from the 2008 ANES Time Series Interviews . Cited September 20, 2013 from http://www.electionstudies.org/studypages/2008prepost/ANES2008TS_CodingProject.htm.Google Scholar
Chiswick, Barry R., Larsen, Nicholas, and Pieper, Paul. 2010. “The Production of PhDs in the US and Canada.” Institute for the Study of Labor (IZA) Discussion Paper 5367. Cited September 20, 2013 from http://ftp.iza.org/dp5367.pdf.CrossRefGoogle Scholar
DataCite. 2013. “Why Cite Data?” Cited June 15, 2013 from http://www.datacite.org/whycitedata.Google Scholar
Data Preservation Alliance for the Social Sciences. 2013. “Data Citations 2013.” Cited June 15, 2013 from http://www.data-pass.org/citations.html.Google Scholar
DeBell, Matthew, and Krosnick, Jon A.. 2009. Computing Weights for American National Election Study Survey Data. ANES Technical Report Series, No. nes012427. Google Scholar
Dorch, Bertil. 2012. “On the Citation Advantage of Linking to Data.” Cited on September 21, 2013 from http://hprints.org/docs/00/71/47/34/PDF/Dorch_2012a.pdf.Google Scholar
Esterling, Kevin. 2013. “Transparency-Inducing Institutions and Legitimacy.” Berkeley Initiative for Transparency in the Social Sciences. Cited on June 7, 2013 from http://cegablog.org/2013/03/20/tss_esterling/.Google Scholar
Fung, Benjamin C. M., Wang, Ke, Chen, Rui, and Yu, Philip S.. 2010. “Privacy-Preserving Data Publishing: A Survey of Recent Developments.” Association for Computing Machinery: Computing Surveys 42(4), Article 14 53 pages. DOI=10.1145/1749603.1749605 http://doi.acm.org/10.1145/1749603.1749605.Google Scholar
Gerber, Alan S., Green, Donald P., and Nickerson, David. 2001. “Testing for Publication Bias in Political Science.” Political Analysis 9: 385–92.CrossRefGoogle Scholar
Humphreys, Macartan, de la Sierra, Raul Sanchez, and van der Windt, Peter 2013. “Fishing, Commitment, and Communication: A Proposal for Comprehensive Nonbinding Research Registration.” Political Analysis 21: 1–20.CrossRefGoogle Scholar
International Association for Social Science Information Services and Technology. 2013. “Quick Guide to Data Citation.” Cited June 15, 2013 from http://iassistdata.org/sites/default/files/iassist-data-citation-quick-guide.pdf.Google Scholar
International Council for Science: Committee on Data for Science, and Technology. 2013. “CODATA Data Citation Standards and Practices Task Group.” Cited June 15, 2013 from http://www.codata.org/taskgroups/TGdatacitation/.Google Scholar
Inter-university Consortium for Political, and Social Research. 2012. “Guide to Social Science Data Preparation and Archiving: Best Practice Throughout the Data Life Cycle.” Ann Arbor, MI. Google Scholar
Inter-university Consortium for Political, and Social Research. 2013. “Data Citations.” Cited June 15, 2013 from http://www.icpsr.umich.edu/icpsrweb/ICPSR/curation/citations.jsp.Google Scholar
King, Gary. 1986. “How Not to Lie With Statistics: Avoiding Common Mistakes in Quantitative Political Science.” American Journal of Political Science 30: 666–87.CrossRefGoogle Scholar
King, Gary, Keohane, Robert O., and Verba, Sidney. 1994. Designing Social Inquiry: Scientific Inference in Qualitative Research. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Larsen, Peder Olesen, and von Ins, Markus. 2010. “The Rate of Growth in Scientific Publication and the Decline in Coverage Provided by Science Citation Index.” Scientometrics 84: 575–603.CrossRefGoogle ScholarPubMed
Long, J. Scott. 2009. The Workflow of Data Analysis Using Stata. College Station, TX: Stata Press.Google Scholar
Lupia, Arthur. 2008. “Procedural Transparency and the Credibility of Election Surveys.” Electoral Studies 27: 732–39.CrossRefGoogle Scholar
Lupia, Arthur, and Elman, Colin. 2010. “Memorandum on Increasing Data Access and Research Transparency (DA-RT).” Submitted to the Council of the American Political Science Association, September. Google Scholar
Miller, Warren. 1962. Letter to Rensis Likert about the Establishment of the Interuniversity Consortium for Political and Social Research. Downloaded on June 6, 2013 from http://www.icpsr.umich.edu/files/ICPSR/fifty/Miller-Likert.pdf.Google Scholar
Mooney, H. 2011. “Citing Data Sources in the Social Sciences: Do Authors Do It?” Learned Publishing 24 (2): 99–108.CrossRefGoogle Scholar
National Research Council. 2003. Protecting Participants and Facilitating Social and Behavioral Sciences Research. Washington, DC: National Academies Press.Google Scholar
National Research Council. 2005. Expanding Access to Research Data: Reconciling Risks and Opportunities. Washington, DC: National Academies Press.Google Scholar
Office of Extramural Research. National Institutes of Health. 2004. “Frequently Asked Questions: Data Sharing, February 16, 2004.” Cited June 18, 2013 from http://grants.nih.gov/grants/policy/data_sharing/data_sharing_faqs.htm#907.Google Scholar
Pew Research Center. 2013. “Public Split over Impact of NSA Leak, But Most Want Snowden Prosecuted.” Cited on September 20, 2013 from http://www.people-press.org/2013/06/17/public-split-over-impact-of-nsa-leak-but-most-want-snowden-prosecuted/.Google Scholar
Piwowar, Heather, and Vision, Todd J.. 2013. “Data Reuse and the Open Data Citation Advantage.” PeerJ PrePrints. Published: 4 Apr 2013, doi: 10.7287/peerj.preprints.1. CrossRefGoogle Scholar
Prewitt, Kenneth. 2013. “Is Any Science Safe?” Science 340 (6132): 525.CrossRefGoogle ScholarPubMed
Rubin, Donald B. 1993. “Comment on “Statistical Disclosure Limitation.”” Journal of Official Statistics 9: 461–68.Google Scholar
Rubin, Donald B. 2007. “The Design versus the Analysis of Observational Studies for Causal Effects: Parallels with the Design of Randomized Trials.” Statistics in Medicine 26: 20–36.CrossRefGoogle ScholarPubMed
Ware, Mark, and Mabe, Michael. 2009. “The STM Report: An Overview of Scientific and Scholarly Journal Publishing.” International Association of Scientific, Technical, and Medical Publishers (Oxford, UK). Cited on September 20, 2013 from http://www.stm-assoc.org/2009_10_13_MWC_STM_Report.pdf.Google Scholar
Xiao, Xiaokui, and Tao, Yufei. 2006. “Personalized privacy preservation.” In Proceedings of the ACM SIGMOD Conference. Association for Computing Machinery, New York.Google Scholar
Zhang, Qing, Koudas, Nick, Srivastava, Divesh, and Yu, Ting. 2007. “Aggregate Query Answering on Anonymized Tables. In Proceedings of the 23rd IEEE International Conference on Data Engineering.Google Scholar