Responsible Governance for a Food and Nutrition E-Infrastructure: Case Study of the Determinants and Intake Data Platform

Frontiers in Nutrition

Bent E. Mikkelsen¹  Javier De La Cueva²  Barbara Koroušić Seljak³  Tome Eftimov³  Indira Carr⁴  Lada Timotijevic⁵  Charo E. Hodgkins⁵  Karin Zimmermann⁶  Trond Selnes⁶  Pieter Van't Veer⁶ 

[1] Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark;Javier de la Cueva and Asociados, Madrid, Spain;Jožef Stefan Institute, Ljubljana, Slovenia;School of Law, University of Surrey, Guildford, United Kingdom;School of Psychology, University of Surrey, Guildford, United Kingdom;Wageningen Economic Research, Wageningen University and Research Centre, Wageningen, Netherlands;

关键词: food consumer behavior;    food consumer choice;    data quality;    interoperability;    standardization;    big data;   

DOI  :  10.3389/fnut.2021.795802

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown