Optimising cohort data in Europe

Fortier I, Doiron D, Little J, Ferretti V, L'Heureux F, Stolk RP, et al. Is rigorous retrospective harmonization possible? Application of the DataSHaPER approach across 53 large studies. International Journal of Epidemiology 2011;40(5):1314-1318. https://doi.org/10.1093/ije/dyr106. Gaudet-Blavignac C, Raisaro JL, Touré V, Österle S, Crameri K, Lovis C. A National, semantic-driven, three-pillar strategy to enable health data secondary usage interoperability for research within the Swiss Personalized Health Network: methodological study. JMIR Medical Informatics 2021;9(6):e27591. https://doi. org/10.2196/27591 Granda P, Blasczyk E. Data Harmonization. Guidelines for Best Practice in Cross-Cultural Surveys. Ann Arbor, MI: Survey Research Center, Institute for Social Research, University of Michigan. 2016. Available from: http://www.ccsg.isr.umich.edu/ Accessed March 4, 2020. Harris JR, Burton P, Knoppers BM, Lindpaintner K, Bledsoe M, Brookes AJ, et al. Toward a roadmap in global biobanking for health. European Journal of Human Genetics 2012;20(11):1105-1111. https://doi/org/10.1038/ejhg.2012.96. Kourou KD, Pezoulas VC, Georga EI, Exarchos TP, Tsanakas P, Tsiknakis M, et al. Cohort harmonization and integrative analysis from a biomedical engineering perspective. IEEE Reviews in Biomedical Engineering 2019;12:303-318. https:// doi.org/10.1109/RBME.2018.2855055. Lesko CR, Jacobson LP, Althoff KN, Abraham AG, Gange SJ, Moore RD, et al. Collaborative, pooled and harmonized study designs for epidemiologic research: challenges and opportunities. International Journal of Epidemiology 2018;47(2):654-668. https://doi.org/10.1093/ije/dyx283 Maelstrom Research; n.d. Available online: https://www.maelstrom-research.org/page/ why-harmonize (accessed August 3, 2022). Magnin A, Iversen VC, Calvo G, Čečetková B, Dale O, Demlová R, et al. European survey on national harmonization in clinical research. Learning Health Systems 2020;5(2):e10220. https://doi.org/10.1002/lrh2.10220 Rudy J, Valafar F. Empirical comparison of cross-platform normalization methods for gene expression data. BMC Bioinformatics 2011;12:467. https://doi/ org/10.1186/1471-2105-12-467. Wijmenga C, Zhernakova A. The importance of cohort studies in the post-GWAS era. Nature Genetics 2018;50(3):322-328. https://doi.org/10.1038/s41588-018 0066-3 Zhang Y, Park SH, Pohl KM. Joint data harmonization and group cardinality constrained classification. In: Ourselin S, Joskowicz L, Sabuncu M, Unal G, Wells W (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. MICCAI 2016. Lecture Notes in Computer Science, vol 9900, pp. 282-290. Springer, Cham. https://doi.org/10.1007/978-3-319-46720-7_33

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