Journal Article


Carl Lachat
Niels Hulstaert
Sofian De Clercq
Rosario Lombardo
Rosalba Giacco
Angela Rivellese
Antoon Bronselaer
Guy De Tré
Bernard De Baets
Christophe Matthys
and 26 others


Physiotherapy & Sport

quality characteristics research data cross sectional studies nutritional nutritional epidemiology data quality literature review case control

Perspective: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research. (2017)

Abstract Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct reuse and interpretation of data. This study aims to define essential quality characteristics for data from observational studies in nutrition. First, a literature review was performed to get an insight on existing instruments that assess the quality of cohort, case-control, and cross-sectional studies and dietary measurement. Second, 2 face-to-face workshops were organized to determine the study characteristics that affect data quality. Third, consensus on the data descriptors and controlled vocabulary was obtained. From 4884 papers retrieved, 26 relevant instruments, containing 164 characteristics for study design and 93 characteristics for measurements, were selected. The workshop and consensus process resulted in 10 descriptors allocated to "study design" and 22 to "measurement" domains. Data descriptors were organized as an ordinal scale of items to facilitate the identification, storage, and querying of nutrition data. Further integration of an Ontology for Nutrition Studies will facilitate interoperability of data repositories.
Collections Ireland -> Trinity College Dublin -> PubMed

Full list of authors on original publication

Carl Lachat, Niels Hulstaert, Sofian De Clercq, Rosario Lombardo, Rosalba Giacco, Angela Rivellese, Antoon Bronselaer, Guy De Tré, Bernard De Baets, Christophe Matthys and 26 others

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