Fortier, I.* ; Burton, P.R* ; Robson, P.J.* ; Ferretti, V.* ; Little, J.* ; L'Heureux, F.* ; Deschenes, M.* ; Knoppers, B.M.* ; Doiron, D.* ; Keers, J.C.* ; Linksted, P.* ; Harris, J.R.* ; Lachance, G.* ; Boileau, C.* ; Pedersen, N.L.* ; Hamilton, C.M.* ; Hveem, K.* ; Borugian, M.J.* ; Gallagher, R.P.* ; McLaughlin, J.* ; Parker, L.* ; Potter, J.D.* ; Gallacher, J.* ; Kaaks, R.* ; Liu, B.* ; Sprosen, T.* ; Vilain, A.* ; Atkinson, S.A.* ; Rengifo, A.* ; Morton, R.* ; Metspalu, A.* ; Wichmann, H.-E. ; Tremblay, M.* ; Chisholm, R.L.* ; Garcia-Montero, A.* ; Hillege, H.* ; Litton, J.E.* ; Palmer, L.J.* ; Perola, M.* ; Wolffenbuttel, B.H.R.* ; Peltonen, L.* ; Hudson, T.J.*
Quality, quantity and harmony: The DataSHaPER approach to integrating data across bioclinical studies.
Int. J. Epidemiol. 39, 1383-1393 (2010)
BACKGROUND: Vast sample sizes are often essential in the quest to disentangle the complex interplay of the genetic, lifestyle, environmental and social factors that determine the aetiology and progression of chronic diseases. The pooling of information between studies is therefore of central importance to contemporary bioscience. However, there are many technical, ethico-legal and scientific challenges to be overcome if an effective, valid, pooled analysis is to be achieved. Perhaps most critically, any data that are to be analysed in this way must be adequately 'harmonized'. This implies that the collection and recording of information and data must be done in a manner that is sufficiently similar in the different studies to allow valid synthesis to take place. METHODS: This conceptual article describes the origins, purpose and scientific foundations of the DataSHaPER (DataSchema and Harmonization Platform for Epidemiological Research; http://www.datashaper.org), which has been created by a multidisciplinary consortium of experts that was pulled together and coordinated by three international organizations: P³G (Public Population Project in Genomics), PHOEBE (Promoting Harmonization of Epidemiological Biobanks in Europe) and CPT (Canadian Partnership for Tomorrow Project). RESULTS: The DataSHaPER provides a flexible, structured approach to the harmonization and pooling of information between studies. Its two primary components, the 'DataSchema' and 'Harmonization Platforms', together support the preparation of effective data-collection protocols and provide a central reference to facilitate harmonization. The DataSHaPER supports both 'prospective' and 'retrospective' harmonization. CONCLUSION: It is hoped that this article will encourage readers to investigate the project further: the more the research groups and studies are actively involved, the more effective the DataSHaPER programme will ultimately be.
Impact Factor
Scopus SNIP
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Times Cited
Scopus
Cited By
Altmetric
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Data synthesis; data quality; data pooling; harmonization; meta-analysis; DataSHaPER; prospective harmonization; retrospective harmonization
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2010
Prepublished im Jahr
HGF-Berichtsjahr
2010
ISSN (print) / ISBN
0300-5771
e-ISSN
1464-3685
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 39,
Heft: 5,
Seiten: 1383-1393
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Oxford University Press
Verlagsort
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
Anmeldedatum
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Epidemiology (EPI)
POF Topic(s)
30503 - Chronic Diseases of the Lung and Allergies
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-503900-001
Förderungen
Copyright
Erfassungsdatum
2010-12-31