The Role of Data in Research and Policy
Barbara A. Anderson
University of Michigan, Ann Arbor, Michigan, USA
Search for more papers by this authorBarbara A. Anderson
University of Michigan, Ann Arbor, Michigan, USA
Search for more papers by this authorAbstract
Data are essential for scientific research and policy planning. However, there needs to be attention to data quality and to the estimates and models based on those data. In addition, data need to be freely available for researchers to test new ideas and validate the work of others through replication, while respondents who provide data need to be protected. Three issues concerning data are addressed: (i) availability and accuracy of data for new research and reanalysis while protecting human subjects, (ii) problems with the estimation of indicators based on flawed or nongeneralizable data, and (iii) the use of data to develop models for projecting the future, the assumptions on which those models are based, and the assessment of the accuracy of past projections. In each of these areas, increased attention is necessary on how data are used, interpreted, and made available to the scholarly and policy community.
References
- Alexander, J. T., Davern, M., & Stevenson, B. (2010). Inaccurate age and sex data in the Census PUMS files: Evidence and implications. National Bureau of Economic Research Working Paper No, 15703. Retrieved from http://www.nber.org/papers/w15703.pdf
- Anderson, B. A. (2014). Projecting low fertility: Some thoughts about the plausibility and implications of assumptions. University of Michigan Population Studies Center Research Report 14–815 (February). Retrieved from http://www.psc.isr.umich.edu/pubs/pdf/rr14-815.pdf
- Anderson, R. G., Greene, W. H., McCullough, B. D., & Vinod, H. D. (2008). The role of data/code archives in the future of economic research. Journal of Economic Methodology, 15, 99–119.
-
Armstrong, M. P., Rushton, G., & Zimmerman, D. L. (1999). Geographically masking health data to preserve confidentiality. Statistics in Medicine, 18, 497–525.
10.1002/(SICI)1097-0258(19990315)18:5<497::AID-SIM45>3.0.CO;2-# CAS PubMed Web of Science® Google Scholar
- Baiden, F., Hodgson, A., & Binka, F. N. (2006). Demographic surveillance sites and emerging challenges in international health, Editorial. Bulletin of the World Health Organization, 86, 163–164.
- Basten, S. (2013a). Re-examining the fertility assumptions for Pacific Asia in the UN's 2010 World Population Prospects. University of Oxford Department of Social Policy and Intervention, Barnett Papers in Social Research: 2013/1 (June 7). Retrieved from 10.2139/ssrn.2275938
- Basten, S. (2013b). Comparing projection assumptions of fertility in six advanced Asian economies; or ‘Thinking beyond the medium variant’. Asian Population Studies, 9, 322–331.
- Basten, S. A., Coleman, D. A., & Gu, B. (2012). Re-examining the fertility assumptions in the UN's 2010 World Population Prospects: Intentions and fertility recovery in East Asia. Paper presented at the Annual Meeting of the Population Association of America, San Francisco. Retrieved from http://paa2012.princeton.edu/papers/122426
- Berg, M. T., Stewart, E. A., Stewart, E., & Simons, R. L. (2013). A multilevel examination of neighborhood social processes and college enrollment. Social Problems, 60, 513–534.
- Caldwell, J., & Caldwell, P. (1988). Is the Asian family planning program model suited to Africa? Studies in Family Planning, 19, 19–28.
- Carrel, M., & Rennie, S. (2008). Demographic and health surveillance: Longitudinal ethical considerations. Bulletin of the World Health Organization, 86, 612–616.
- Chandramohan, D., Shibuya, K., Satel, P., Cairncross, S., Lopez, A. D., Murray, C. D. L., … , Binka, F. (2008). Should data from demographic surveillance systems be made more widely available to researchers? PLoS Medicine, 5: 0169–0170.
- Coale, A. J., & Demeny, P. (1966). Regional model life tables and stable populations. Princeton, NJ: Princeton University Press.
- Dechter, A. R., & Preston, S. H. (1991). Age misreporting and its effect on adult mortality estimates in Latin America. Population Bulletin of the United Nations, 31(32), 1–16.
- Fairchild, A. L., & Bayer, R. (1999). Uses and abuses of Tuskegee. Science, 284, 919–921.
- Fisher, T. L. (2010). The income of the elderly: The effect of changes to reported age in the Current Population Survey. Paper presented at the annual conference of the Association for Public Policy Analysis and Management, Boston, October 13. Retrieved from https://www.appam.org/conferences/fall/boston2010/sessions/downloads/4555.1.pdf
- Freedman, D., Thornton, A., Camburn, D., Alwin, D., & Young-DeMarco, L. (1988). The life history calendar: A technique for collecting retrospective event-history data. Sociological Methodology, 18, 37–68.
- INDEPTH Network (2014). INDEPTH Network: Better health data for better health policy. Retrieved from http://www.indepth-network.org/
- Jones, J. H. (1981). Bad blood: The Tuskegee syphilis experiment. New York, NY: The Free Press.
- Keilman, N. (1998). How accurate are the United Nations world population projections? Population and Development Review, 24 (Supplement: Frontiers of Population Forecasting), 15–41.
- Keilman, N. (2008). European demographic forecasts have not become more accurate over the past 25 years. Population and Development Review, 34, 137–153.
-
McCullough, B. D. (2009). Open access economics journals and the market for reproducible economic research. Economic Analysis & Policy, 39, 117–126.
10.1016/S0313-5926(09)50047-1 Google Scholar
- McCullough, B. D., McGeary, K. A., & Harrison, T. D. (2008). Do economics journal archives promote replicable research? Canadian Journal of Economics, 41, 1406–1420.
- Sherman, J. E., & Fetters, T. L. (2007). Confidentiality concerns with mapping survey data in reproductive health research. Studies in Family Planning, 38, 309–321.
- Schuurman, N. (2000). Trouble in the heartland: GIS and its critics in the 1990s. Progress in Human Geography, 24, 569–590.
- Steinbrook, R. (2008). HIV in India—A downsized epidemic. New England Journal of Medicine, 358, 107–109.
- Tenopir, C., Allard, S., Douglas, K., Aydinoglu, A. U., Read, E., Manoff, M., & Frame, M. (2011). Data sharing by scientists: Practices and perceptions. PloS One, 6, 1–21.
- United Nations (1982). Model life tables for developing countries. New York, NY: United Nations.
- United Nations (2014). World population prospects: The 2012 revision, Methodology of the United Nations population estimates and projections, New York: United Nations. Retrieved from http://esa.un.org/unpd/wpp/Documentation/pdf/WPP2012_Methodology.pdf
- UNAIDS (2007). 2.5 million people living with HIV in India. Retrieved from http://www.unaids.org/en/KnowledgeCentre/Resources/FeatureStories/archive/2007/20070704_India_new_data.asp
- UNAIDS website (2008). Q + A on India's revised AIDS estimates. Retrieved from http://data.unaids.org/pub/InformationNote/2007/070701_india%20external_qa_en.pdf
- U. S. Census Bureau (2010). Analysis of perturbed and unperturbed age estimates: 2008. Retrieved from http://www.census.gov/cps/user_note_age_estimates.html
- U. S. Census Bureau (2012). RDC research opportunities. Center for Economic Studies. Retrieved from https://www.census.gov/ces/rdcresearch/
- United States. White House. Office of Science and Technology Policy (2012). Obama administration unveils “Big Data” initiative: Announces $200 million in new R&D investments. Retrieved at http://www.whitehouse.gov/sites/default/files/microsites/ostp/big_data_press_release_final_2.pdf
Further Reading
- Coale, A. J., & Trussell, T. J. (1996). The development and use of demographic models. Population Studies, 50, 469–484.
- National Academy of Science (1995). On being a scientist: Responsible conduct of research ( 2nd ed.). Washington, DC: National Academies Press.
- Preston, S. H. (1993). The contours of demography: Estimates and projections. Demography, 30, 593–606.
- United States, National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research (1979). The Belmont Report: Ethical principles and guidelines for the protection of human subjects of research. Retrieved from http://www.fda.gov/ohrms/dockets/ac/05/briefing/2005-4178b_09_02_Belmont%20Report.pdf.
- VanWey, L, Rindfuss, R. R., Gutman, M. P., Entwisle, B., & Balk, D. L. (2005). Confidentiality and spatially explicit data: Concerns and challenges. Proceedings of the National Academy of Sciences of the United States of America, 102: 15337–15342. Retrieved from http://www.pnas.org/content/102/43/15337.full
Citing Literature
Browse other articles of this reference work: