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Harmonizing Data for Collaborative Research on Aging: Why Should We Foster Such an Agenda?

Published online by Cambridge University Press:  29 February 2012

Isabel Fortier*
Affiliation:
Research Institute of the McGill University Health Centre Public Population Project in Genomics
Dany Doiron
Affiliation:
Public Population Project in Genomics
Christina Wolfson
Affiliation:
McGill University
Parminder Raina
Affiliation:
McMaster University
*
*Correspondence and requests for offprints should be sent to: / La correspondance et les demandes de tirés-à-part doivent être adressées à: Isabel Fortier, Ph.D. Research Institute – McGill University Health Centre Allan Memorial Institute 1025 Pine Avenue West Room P2.028 Montreal, QC H3A 1A1 ([email protected])

Abstract

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Type
Canadian Institutes of Health Research–Institute of Aging: Profile
Copyright
Copyright © Canadian Association on Gerontology 2012

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References

Anstey, K.J., Byles, J.E., Luszcz, M.A., Mitchell, P., Steel, D., Booth, H., et al. . (2010). Cohort Profile: The Dynamic Analyses to Optimize Ageing (DYNOPTA) Project. International Journal of Epidemiology, 39(1), 4451.Google Scholar
Borugian, M.J., Robson, P., Fortier, I., Parker, L., McLaughlin, J., Knoppers, B.M., et al. . (2010). The Canadian Partnership for Tomorrow project: Building a pan-Canadian research platform for disease prevention. CMAJ: Canadian Medical Association Journal [journal de l’Association medicale canadienne], 182(11), 11971201.Google Scholar
Cardis, E., Richardson, L., Deltour, I., Armstrong, B., Feychting, M., Johansen, C., et al. . (2007). The INTERPHONE study: Design, epidemiological methods, and description of the study population. European Journal of Epidemiology, 22(9), 647664.Google Scholar
Cook, D.G., Shaper, A.G., & MacFarlane, P.W. (1989). Using the WHO (Rose) angina questionnaire in cardiovascular epidemiology. International Journal of Epidemiology, 18(3), 607613.Google Scholar
Cooper, R., Hardy, R., Aihie Sayer, A., Ben-Shlomo, Y., Birnie, K., Cooper, C., et al. . (2011). Age and gender differences in physical capability levels from mid-life onwards: The harmonisation and meta-analysis of data from eight UK cohort studies. [doi:10.1371/journal.pone.0027899]. PLoS ONE, 6(11), e27899.Google Scholar
Craig, C.L., Marshall, A.L., Sjostrom, M., Bauman, A.E., Booth, M.L., Ainsworth, B.E., et al. . (2003). International physical activity questionnaire: 12-country reliability and validity. Medicine and Science in Sports and Exercise, 35(8), 13811395.Google Scholar
Esteve, A., & Sobek, M. (2003). Challenges and methods of international census harmonization. Historical Methods: A Journal of Quantitative and Interdisciplinary History, 36(2), 6679.Google Scholar
Fortier, I., Burton, P.R., Robson, P.J., Ferretti, V., Little, J., L’Heureux, F., et al. . (2010). Quality, quantity and harmony: The DataSHaPER approach to integrating data across bioclinical studies. International Journal of Epidemiology, 39(5), 13831393.Google Scholar
Granda, P., & Blasczyk, E. (2010). Data harmonization guidelines for best practice in cross-cultural surveys. Ann Arbor, MI: Survey Research Center, Institute for Social Research, University of Michigan.Google Scholar
Hamilton, C.M., Strader, L.C., Pratt, J.G., Maiese, D., Hendershot, T., Kwok, R.K., et al. . (2011). The PhenX toolkit: Get the most from your measures. American Journal of Epidemiology, 174(3), 253260.Google Scholar
Holman, C.D., Bass, A.J., Rosman, D.L., Smith, M.B., Semmens, J.B., Glasson, E.J., et al. . (2008). A decade of data linkage in Western Australia: Strategic design, applications and benefits of the WA data linkage system. Australian Health Review, 32(4), 766777.Google Scholar
Lee, J. (2007). Harmonization of aging surveys and cross-national studies of aging executive summary. Meeting Report, Chiang Mai, Thailand. National Institute on Aging, Behavioral and Social Research Program.Google Scholar
National Research Council. (2001). Preparing for an aging world: The case for cross-national research. Washington, DC.Google Scholar
Raina, P.S., Wolfson, C., Kirkland, S.A., Griffith, L.E., Oremus, M., Patterson, C., et al. . (2009). The Canadian Longitudinal Study on Aging (CLSA). Canadian Journal on Aging [Revue canadienne du vieillissement], 28(Special Issue 03), 221229.Google Scholar
Riboli, E., & Kaaks, R. (1997). The EPIC Project: Rationale and study design. European Prospective Investigation into Cancer and Nutrition. International Journal of Epidemiology, 26(Suppl. 1), S6.Google Scholar