Maelstrom Research guidelines for rigorous retrospective data harmonization | Zendy

Isabel Fortier | Zendy; Parminder Raina | Zendy; Edwin R. van den Heuvel | Zendy; Lauren E. Griffith | Zendy; Camille Craig | Zendy; Matilda Saliba | Zendy; Dany Doiron | Zendy; Ronald P. Stolk | Zendy; Bartha Maria Knoppers | Zendy; Vincent Ferretti | Zendy; Peter Granda | Zendy; Paul Burton | Zendy

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Maelstrom Research guidelines for rigorous retrospective data harmonization

Author(s) -

Isabel Fortier,

Parminder Raina,

Edwin R. van den Heuvel,

Lauren E. Griffith,

Camille Craig,

Matilda Saliba,

Dany Doiron,

Ronald P. Stolk,

Bartha Maria Knoppers,

Vincent Ferretti,

Peter Granda,

Paul Burton

Publication year - 2016

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyw075

Subject(s) - harmonization , standardization , computer science , interdependence , data science , data quality , management science , inefficiency , process management , service (business) , business , political science , engineering , law , physics , marketing , acoustics , economics , microeconomics , operating system

It is widely accepted and acknowledged that data harmonization is crucial: in its absence, the co-analysis of major tranches of high quality extant data is liable to inefficiency or error. However, despite its widespread practice, no formalized/systematic guidelines exist to ensure high quality retrospective data harmonization.

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