TY - JOUR

T1 - Responsible Governance for a Food and Nutrition E-Infrastructure

T2 - Case Study of the Determinants and Intake Data Platform

AU - Timotijevic, Lada

AU - Carr, Indira

AU - De La Cueva, Javier

AU - Eftimov, Tome

AU - Hodgkins, Charo E.

AU - Koroušić Seljak, Barbara

AU - Mikkelsen, Bent E.

AU - Selnes, Trond

AU - Van't Veer, Pieter

AU - Zimmermann, Karin

N1 - Funding Information: The RICHFIELDS project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement no. 654280 ( www.richfields.eu ). Publisher Copyright: Copyright © 2022 Timotijevic, Carr, De La Cueva, Eftimov, Hodgkins, Koroušić Seljak, Mikkelsen, Selnes, Van't Veer and Zimmermann.

PY - 2022/3/23

Y1 - 2022/3/23

N2 - The focus of the current paper is on a design of responsible governance of food consumer science e-infrastructure using the case study Determinants and Intake Data Platform (DI Data Platform). One of the key challenges for implementation of the DI Data Platform is how to develop responsible governance that observes the ethical and legal frameworks of big data research and innovation, whilst simultaneously capitalizing on huge opportunities offered by open science and the use of big data in food consumer science research. We address this challenge with a specific focus on four key governance considerations: data type and technology; data ownership and intellectual property; data privacy and security; and institutional arrangements for ethical governance. The paper concludes with a set of responsible research governance principles that can inform the implementation of DI Data Platform, and in particular: consider both individual and group privacy; monitor the power and control (e.g., between the scientist and the research participant) in the process of research; question the veracity of new knowledge based on big data analytics; understand the diverse interpretations of scientists' responsibility across different jurisdictions.

AB - The focus of the current paper is on a design of responsible governance of food consumer science e-infrastructure using the case study Determinants and Intake Data Platform (DI Data Platform). One of the key challenges for implementation of the DI Data Platform is how to develop responsible governance that observes the ethical and legal frameworks of big data research and innovation, whilst simultaneously capitalizing on huge opportunities offered by open science and the use of big data in food consumer science research. We address this challenge with a specific focus on four key governance considerations: data type and technology; data ownership and intellectual property; data privacy and security; and institutional arrangements for ethical governance. The paper concludes with a set of responsible research governance principles that can inform the implementation of DI Data Platform, and in particular: consider both individual and group privacy; monitor the power and control (e.g., between the scientist and the research participant) in the process of research; question the veracity of new knowledge based on big data analytics; understand the diverse interpretations of scientists' responsibility across different jurisdictions.

KW - big data

KW - data quality

KW - ethical

KW - food consumer behavior

KW - food consumer choice

KW - interoperability

KW - machine learning

KW - standardization

U2 - 10.3389/fnut.2021.795802

DO - 10.3389/fnut.2021.795802

M3 - Journal article

C2 - 35402471

AN - SCOPUS:85128182593

VL - 8

JO - Frontiers in Nutrition

JF - Frontiers in Nutrition

SN - 2296-861X

M1 - 795802

ER -