Perspective: Essential study quality descriptors for data from nutritional epidemiologic research

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Perspective : Essential study quality descriptors for data from nutritional epidemiologic research. / Yang, Chen; Pinart, Mariona; Kolsteren, Patrick; Van Camp, John; De Cock, Nathalie; Nimptsch, Katharina; Pischon, Tobias; Laird, Eamon; Perozzi, Giuditta; Canali, Raffaella; Hoge, Axelle; Stelmach-Mardas, Marta; Dragsted, Lars Ove; Palombi, Stéphanie Maria; Dobre, Irina; Bouwman, Jildau; Clarys, Peter; Minervini, Fabio; De Angelis, Maria; Gobbetti, Marco; Tafforeau, Jean; Coltell, Oscar; Corella, Dolores; De Ruyck, Hendrik; Walton, Janette; Kehoe, Laura; Matthys, Christophe; De Baets, Bernard; De Tré, Guy; Bronselaer, Antoon; Rivellese, Angela; Giacco, Rosalba; Lombardo, Rosario; De Clercq, Sofian; Hulstaert, Niels; Lachat, Carl.

I: Advances in Nutrition, Bind 8, Nr. 5, 2017, s. 639-651.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Yang, C, Pinart, M, Kolsteren, P, Van Camp, J, De Cock, N, Nimptsch, K, Pischon, T, Laird, E, Perozzi, G, Canali, R, Hoge, A, Stelmach-Mardas, M, Dragsted, LO, Palombi, SM, Dobre, I, Bouwman, J, Clarys, P, Minervini, F, De Angelis, M, Gobbetti, M, Tafforeau, J, Coltell, O, Corella, D, De Ruyck, H, Walton, J, Kehoe, L, Matthys, C, De Baets, B, De Tré, G, Bronselaer, A, Rivellese, A, Giacco, R, Lombardo, R, De Clercq, S, Hulstaert, N & Lachat, C 2017, 'Perspective: Essential study quality descriptors for data from nutritional epidemiologic research', Advances in Nutrition, bind 8, nr. 5, s. 639-651. https://doi.org/10.3945/an.117.015651

APA

Yang, C., Pinart, M., Kolsteren, P., Van Camp, J., De Cock, N., Nimptsch, K., Pischon, T., Laird, E., Perozzi, G., Canali, R., Hoge, A., Stelmach-Mardas, M., Dragsted, L. O., Palombi, S. M., Dobre, I., Bouwman, J., Clarys, P., Minervini, F., De Angelis, M., ... Lachat, C. (2017). Perspective: Essential study quality descriptors for data from nutritional epidemiologic research. Advances in Nutrition, 8(5), 639-651. https://doi.org/10.3945/an.117.015651

Vancouver

Yang C, Pinart M, Kolsteren P, Van Camp J, De Cock N, Nimptsch K o.a. Perspective: Essential study quality descriptors for data from nutritional epidemiologic research. Advances in Nutrition. 2017;8(5):639-651. https://doi.org/10.3945/an.117.015651

Author

Yang, Chen ; Pinart, Mariona ; Kolsteren, Patrick ; Van Camp, John ; De Cock, Nathalie ; Nimptsch, Katharina ; Pischon, Tobias ; Laird, Eamon ; Perozzi, Giuditta ; Canali, Raffaella ; Hoge, Axelle ; Stelmach-Mardas, Marta ; Dragsted, Lars Ove ; Palombi, Stéphanie Maria ; Dobre, Irina ; Bouwman, Jildau ; Clarys, Peter ; Minervini, Fabio ; De Angelis, Maria ; Gobbetti, Marco ; Tafforeau, Jean ; Coltell, Oscar ; Corella, Dolores ; De Ruyck, Hendrik ; Walton, Janette ; Kehoe, Laura ; Matthys, Christophe ; De Baets, Bernard ; De Tré, Guy ; Bronselaer, Antoon ; Rivellese, Angela ; Giacco, Rosalba ; Lombardo, Rosario ; De Clercq, Sofian ; Hulstaert, Niels ; Lachat, Carl. / Perspective : Essential study quality descriptors for data from nutritional epidemiologic research. I: Advances in Nutrition. 2017 ; Bind 8, Nr. 5. s. 639-651.

Bibtex

@article{d93223cc025e43f9abe1cc3dbee99ebc,
title = "Perspective: Essential study quality descriptors for data from nutritional epidemiologic research",
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 quality, Observational study, Dietary assessment, Nutritional epidemiology, Data interoperability",
author = "Chen Yang and Mariona Pinart and Patrick Kolsteren and {Van Camp}, John and {De Cock}, Nathalie and Katharina Nimptsch and Tobias Pischon and Eamon Laird and Giuditta Perozzi and Raffaella Canali and Axelle Hoge and Marta Stelmach-Mardas and Dragsted, {Lars Ove} and Palombi, {St{\'e}phanie Maria} and Irina Dobre and Jildau Bouwman and Peter Clarys and Fabio Minervini and {De Angelis}, Maria and Marco Gobbetti and Jean Tafforeau and Oscar Coltell and Dolores Corella and {De Ruyck}, Hendrik and Janette Walton and Laura Kehoe and Christophe Matthys and {De Baets}, Bernard and {De Tr{\'e}}, Guy and Antoon Bronselaer and Angela Rivellese and Rosalba Giacco and Rosario Lombardo and {De Clercq}, Sofian and Niels Hulstaert and Carl Lachat",
note = "CURIS 2017 NEXS 248",
year = "2017",
doi = "10.3945/an.117.015651",
language = "English",
volume = "8",
pages = "639--651",
journal = "Advances in Nutrition",
issn = "2161-8313",
publisher = "American Society for Nutrition",
number = "5",

}

RIS

TY - JOUR

T1 - Perspective

T2 - Essential study quality descriptors for data from nutritional epidemiologic research

AU - Yang, Chen

AU - Pinart, Mariona

AU - Kolsteren, Patrick

AU - Van Camp, John

AU - De Cock, Nathalie

AU - Nimptsch, Katharina

AU - Pischon, Tobias

AU - Laird, Eamon

AU - Perozzi, Giuditta

AU - Canali, Raffaella

AU - Hoge, Axelle

AU - Stelmach-Mardas, Marta

AU - Dragsted, Lars Ove

AU - Palombi, Stéphanie Maria

AU - Dobre, Irina

AU - Bouwman, Jildau

AU - Clarys, Peter

AU - Minervini, Fabio

AU - De Angelis, Maria

AU - Gobbetti, Marco

AU - Tafforeau, Jean

AU - Coltell, Oscar

AU - Corella, Dolores

AU - De Ruyck, Hendrik

AU - Walton, Janette

AU - Kehoe, Laura

AU - Matthys, Christophe

AU - De Baets, Bernard

AU - De Tré, Guy

AU - Bronselaer, Antoon

AU - Rivellese, Angela

AU - Giacco, Rosalba

AU - Lombardo, Rosario

AU - De Clercq, Sofian

AU - Hulstaert, Niels

AU - Lachat, Carl

N1 - CURIS 2017 NEXS 248

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Data quality

KW - Observational study

KW - Dietary assessment

KW - Nutritional epidemiology

KW - Data interoperability

U2 - 10.3945/an.117.015651

DO - 10.3945/an.117.015651

M3 - Journal article

C2 - 28916566

VL - 8

SP - 639

EP - 651

JO - Advances in Nutrition

JF - Advances in Nutrition

SN - 2161-8313

IS - 5

ER -

ID: 183575672