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Review
. 2017 Sep 15;8(5):639-651.
doi: 10.3945/an.117.015651. Print 2017 Sep.

Perspective: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research

Affiliations
Review

Perspective: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research

Chen Yang et al. Adv Nutr. .

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.

Keywords: data interoperability; data quality; dietary assessment; nutritional epidemiology; observational study.

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Conflict of interest statement

Author disclosures: CY, MP, PK, JVC, NDC, KN, TP, EL, GP, RC, AH, MS-M, LOD, SMP, ID, JB, PC, FM, MDA, MG, JT, OC, DC, HDR, JW, LK, CM, BDB, GDT, AB, AR, RG, RL, SDC, NH, and CL, no conflicts of interest.

Figures

FIGURE 1
FIGURE 1
The domain-based structure of the essential study quality characteristics.
FIGURE 2
FIGURE 2
Flowchart of study screening and extraction of items for essential study quality characteristics.

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