Is rigorous retrospective harmonization possible? Application of the DataSHaPER approach across 53 large studies

Isabel Fortier; Dany Doiron; Julian Little; Vincent Ferretti; François L'Heureux; Ronald P Stolk; Bartha M Knoppers; Thomas J Hudson; Paul R Burton; International Harmonization Initiative

doi:10.1093/ije/dyr106

Is rigorous retrospective harmonization possible? Application of the DataSHaPER approach across 53 large studies

Isabel Fortier, Dany Doiron, Julian Little, Vincent Ferretti, François L'Heureux, Ronald P Stolk, Bartha M Knoppers, Thomas J Hudson, Paul R Burton, International Harmonization Initiative

Bristol Medical School (PHS)

Research output: Contribution to journal › Article (Academic Journal) › peer-review

72 Citations (Scopus)

Abstract

Proper understanding of the roles of, and interactions between genetic, lifestyle, environmental and psycho-social factors in determining the risk of development and/or progression of chronic diseases requires access to very large high-quality databases. Because of the financial, technical and time burdens related to developing and maintaining very large studies, the scientific community is increasingly synthesizing data from multiple studies to construct large databases. However, the data items collected by individual studies must be inferentially equivalent to be meaningfully synthesized. The DataSchema and Harmonization Platform for Epidemiological Research (DataSHaPER; http://www.datashaper.org) was developed to enable the rigorous assessment of the inferential equivalence, i.e. the potential for harmonization, of selected information from individual studies.

Original language	English
Pages (from-to)	1314-1328
Number of pages	15
Journal	International Journal of Epidemiology
Volume	40
Issue number	5
Early online date	30 Jul 2011
DOIs	https://doi.org/10.1093/ije/dyr106
Publication status	Published - Oct 2011

Keywords

Chronic Disease
Cohort Studies
Data Collection
Data Interpretation, Statistical
Databases, Factual
Epidemiologic Methods
Humans
Questionnaires
Retrospective Studies
Risk Factors

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Fortier, I., Doiron, D., Little, J., Ferretti, V., L'Heureux, F., Stolk, R. P., Knoppers, B. M., Hudson, T. J., Burton, P. R., & International Harmonization Initiative (2011). Is rigorous retrospective harmonization possible? Application of the DataSHaPER approach across 53 large studies. International Journal of Epidemiology, 40(5), 1314-1328. https://doi.org/10.1093/ije/dyr106

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title = "Is rigorous retrospective harmonization possible? Application of the DataSHaPER approach across 53 large studies",

abstract = "Proper understanding of the roles of, and interactions between genetic, lifestyle, environmental and psycho-social factors in determining the risk of development and/or progression of chronic diseases requires access to very large high-quality databases. Because of the financial, technical and time burdens related to developing and maintaining very large studies, the scientific community is increasingly synthesizing data from multiple studies to construct large databases. However, the data items collected by individual studies must be inferentially equivalent to be meaningfully synthesized. The DataSchema and Harmonization Platform for Epidemiological Research (DataSHaPER; http://www.datashaper.org) was developed to enable the rigorous assessment of the inferential equivalence, i.e. the potential for harmonization, of selected information from individual studies.",

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author = "Isabel Fortier and Dany Doiron and Julian Little and Vincent Ferretti and Fran{\c c}ois L'Heureux and Stolk, {Ronald P} and Knoppers, {Bartha M} and Hudson, {Thomas J} and Burton, {Paul R} and {International Harmonization Initiative}",

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doi = "10.1093/ije/dyr106",

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Fortier, I, Doiron, D, Little, J, Ferretti, V, L'Heureux, F, Stolk, RP, Knoppers, BM, Hudson, TJ, Burton, PR & International Harmonization Initiative 2011, 'Is rigorous retrospective harmonization possible? Application of the DataSHaPER approach across 53 large studies', International Journal of Epidemiology, vol. 40, no. 5, pp. 1314-1328. https://doi.org/10.1093/ije/dyr106

TY - JOUR

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AU - Fortier, Isabel

AU - Doiron, Dany

AU - Little, Julian

AU - Ferretti, Vincent

AU - L'Heureux, François

AU - Stolk, Ronald P

AU - Knoppers, Bartha M

AU - Hudson, Thomas J

AU - Burton, Paul R

AU - International Harmonization Initiative

PY - 2011/10

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N2 - Proper understanding of the roles of, and interactions between genetic, lifestyle, environmental and psycho-social factors in determining the risk of development and/or progression of chronic diseases requires access to very large high-quality databases. Because of the financial, technical and time burdens related to developing and maintaining very large studies, the scientific community is increasingly synthesizing data from multiple studies to construct large databases. However, the data items collected by individual studies must be inferentially equivalent to be meaningfully synthesized. The DataSchema and Harmonization Platform for Epidemiological Research (DataSHaPER; http://www.datashaper.org) was developed to enable the rigorous assessment of the inferential equivalence, i.e. the potential for harmonization, of selected information from individual studies.

AB - Proper understanding of the roles of, and interactions between genetic, lifestyle, environmental and psycho-social factors in determining the risk of development and/or progression of chronic diseases requires access to very large high-quality databases. Because of the financial, technical and time burdens related to developing and maintaining very large studies, the scientific community is increasingly synthesizing data from multiple studies to construct large databases. However, the data items collected by individual studies must be inferentially equivalent to be meaningfully synthesized. The DataSchema and Harmonization Platform for Epidemiological Research (DataSHaPER; http://www.datashaper.org) was developed to enable the rigorous assessment of the inferential equivalence, i.e. the potential for harmonization, of selected information from individual studies.

KW - Chronic Disease

KW - Cohort Studies

KW - Data Collection

KW - Data Interpretation, Statistical

KW - Databases, Factual

KW - Epidemiologic Methods

KW - Humans

KW - Questionnaires

KW - Retrospective Studies

KW - Risk Factors

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DO - 10.1093/ije/dyr106

M3 - Article (Academic Journal)

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VL - 40

SP - 1314

EP - 1328

JO - International Journal of Epidemiology

JF - International Journal of Epidemiology

SN - 0300-5771

IS - 5

ER -

Is rigorous retrospective harmonization possible? Application of the DataSHaPER approach across 53 large studies

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