TY - JOUR
T1 - Accelerating Food Allergy Research
T2 - Need for a Data Commons
AU - Gupta, Ruchi S.
AU - Sehgal, Shruti
AU - Wlodarski, Mark
AU - Bilaver, Lucy A.
AU - Wehbe, Firas H.
AU - Spergel, Jonathan M.
AU - Wang, Julie
AU - Ciaccio, Christina E.
AU - Nimmagadda, Sai R.
AU - Assa'ad, Amal
AU - Mahdavinia, Mahboobeh
AU - Wasserman, Richard L.
AU - Brown, Emily
AU - Sicherer, Scott H.
AU - Bird, J. Andrew
AU - Roberts, Bruce
AU - Sharma, Hemant P.
AU - Mendez, Kenneth
AU - Holding, Eleanor Garrow
AU - Mitchell, Lynda
AU - Corbett, Mark
AU - Makhija, Melanie
AU - Starren, Justin B.
N1 - Publisher Copyright:
© 2023
PY - 2023/4
Y1 - 2023/4
N2 - Food allergy is a significant health problem affecting approximately 8% of children and 11% of adults in the United States. It exhibits all the characteristics of a “complex” genetic trait; therefore, it is necessary to look at very large numbers of patients, far more than exist at any single organization, to eliminate gaps in the current understanding of this complex chronic disorder. Advances may be achieved by bringing together food allergy data from large numbers of patients into a Data Commons, a secure and efficient platform for researchers, comprising standardized data, available in a common interface for download and/or analysis, in accordance with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. Prior data commons initiatives indicate that research community consensus and support, formal food allergy ontology, data standards, an accepted platform and data management tools, an agreed upon infrastructure, and trusted governance are the foundation of any successful data commons. In this article, we will present the justification for the creation of a food allergy data commons and describe the core principles that can make it successful and sustainable.
AB - Food allergy is a significant health problem affecting approximately 8% of children and 11% of adults in the United States. It exhibits all the characteristics of a “complex” genetic trait; therefore, it is necessary to look at very large numbers of patients, far more than exist at any single organization, to eliminate gaps in the current understanding of this complex chronic disorder. Advances may be achieved by bringing together food allergy data from large numbers of patients into a Data Commons, a secure and efficient platform for researchers, comprising standardized data, available in a common interface for download and/or analysis, in accordance with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. Prior data commons initiatives indicate that research community consensus and support, formal food allergy ontology, data standards, an accepted platform and data management tools, an agreed upon infrastructure, and trusted governance are the foundation of any successful data commons. In this article, we will present the justification for the creation of a food allergy data commons and describe the core principles that can make it successful and sustainable.
KW - Data Commons
KW - Food allergy
UR - http://www.scopus.com/inward/record.url?scp=85149662327&partnerID=8YFLogxK
U2 - 10.1016/j.jaip.2023.02.003
DO - 10.1016/j.jaip.2023.02.003
M3 - Article
C2 - 36796512
AN - SCOPUS:85149662327
SN - 2213-2198
VL - 11
SP - 1063
EP - 1067
JO - Journal of Allergy and Clinical Immunology: In Practice
JF - Journal of Allergy and Clinical Immunology: In Practice
IS - 4
ER -