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A scientific transition to support the 21st century dietary transition. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.11.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
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Timotijevic L, Carr I, De La Cueva J, Eftimov T, Hodgkins CE, Koroušić Seljak B, Mikkelsen BE, Selnes T, Van't Veer P, Zimmermann K. Responsible Governance for a Food and Nutrition E-Infrastructure: Case Study of the Determinants and Intake Data Platform. Front Nutr 2022; 8:795802. [PMID: 35402471 PMCID: PMC8984108 DOI: 10.3389/fnut.2021.795802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 12/23/2021] [Indexed: 11/13/2022] Open
Abstract
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.
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Affiliation(s)
- Lada Timotijevic
- School of Psychology, University of Surrey, Guildford, United Kingdom
- *Correspondence: Lada Timotijevic
| | - Indira Carr
- School of Law, University of Surrey, Guildford, United Kingdom
| | | | | | - Charo E. Hodgkins
- School of Psychology, University of Surrey, Guildford, United Kingdom
| | | | - Bent E. Mikkelsen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Trond Selnes
- Wageningen Economic Research, Wageningen University and Research Centre, Wageningen, Netherlands
| | - Pieter Van't Veer
- Wageningen Economic Research, Wageningen University and Research Centre, Wageningen, Netherlands
| | - Karin Zimmermann
- Wageningen Economic Research, Wageningen University and Research Centre, Wageningen, Netherlands
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Biermann O, Koya SF, Corkish C, Abdalla SM, Galea S. Food, Big Data, and Decision-making: a Scoping Review-the 3-D Commission. J Urban Health 2021; 98:69-78. [PMID: 34414511 PMCID: PMC8440752 DOI: 10.1007/s11524-021-00562-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/07/2021] [Indexed: 12/16/2022]
Abstract
Food is an important determinant of health, featuring prominently in the Sustainable Development Goals. The term "big data" is seldom used in relation to food, partly because food data are scattered across different sectors. The increasing availability of food-related data presents an opportunity to glean new insights on food and food systems. These insights may enhance the quality of products and services and improve decision-making on optimizing food availability, all to the end of producing better health. Yet, knowledge gaps remain about the unique opportunities and challenges linked to big data on food and their use in decision-making. This scoping review explored the available literature linking food with big data and decision-making, using the following research question: What is the current literature on data about food, and how are these data used in decision-making? We searched PubMed until 29 February 2020 and Embase, Web of Sciences, and the Cochrane Database of Systematic Reviews until 8 March 2020. We included studies written in English and conducted narrative analyses to identify relevant themes from included studies. Sixteen studies fulfilled our eligibility criteria, including big data analyses, modelling studies, and reviews. These studies described the added value of using big data and how evidence from big data had or can be used for decision-making, as well as challenges and opportunities for such use. The majority of the included studies examined the link between food and big data, while hypothesizing of how these insights could inform decision-making, including policies, interventions, programs, and financing. There were only two examples wherein big data on food informed decision-making directly. The review highlights several false dichotomies in how the subject is approached in the literature and the importance of context, both between and within countries, in shaping the availability and types of data that can be used as meaningful evidence to inform decision-making. This review shows the paucity of research around the intersection of food, big data, and decision-making, as well as the potential in using big data on food systems to the end of informing decisions to improve the health of populations. Future research and decision-making around health systems can benefit from examining the full spectrum of perspectives on the subject. Future research and decision-making around health systems can also employ the steadfast embrace of technology, which will potentially reduce disparities in big data availability, to the end of improving the health of populations.
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Affiliation(s)
- Olivia Biermann
- Department of Global Public Health, Karolinska Institutet, Solna, Sweden
- Rockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA
| | - Shaffi Fazaludeen Koya
- Rockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, USA
| | - Claire Corkish
- Rockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, USA
| | - Salma M Abdalla
- Rockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, USA
| | - Sandro Galea
- Rockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, USA
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Kapsokefalou M, Roe M, Turrini A, Costa HS, Martinez-Victoria E, Marletta L, Berry R, Finglas P. Food Composition at Present: New Challenges. Nutrients 2019; 11:E1714. [PMID: 31349634 PMCID: PMC6723776 DOI: 10.3390/nu11081714] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 07/04/2019] [Accepted: 07/19/2019] [Indexed: 11/16/2022] Open
Abstract
Food composition data is important for stakeholders and users active in the areas of food, nutrition and health. New challenges related to the quality of food composition data reflect the dynamic changes in these areas while the emerging technologies create new opportunities. These challenges and the impact on food composition data for the Mediterranean region were reviewed during the NUTRIMAD 2018 congress of the Spanish Society for Community Nutrition. Data harmonization and standardization, data compilation and use, thesauri, food classification and description, and data exchange are some of the areas that require new approaches. Consistency in documentation, linking of information between datasets, food matching and capturing portion size information suggest the need for new automated tools. Research Infrastructures bring together key data and services. The delivery of sustainable networks and Research Infrastructures in food, nutrition and health will help to increase access to and effective use of food composition data. EuroFIR AISBL coordinates experts and national compilers and contributes to worldwide efforts aiming to produce and maintain high quality data and tools. A Mediterranean Network that shares high quality food composition data is vital for the development of ambitious common research and policy initiatives in support of the Mediterranean Diet.
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Affiliation(s)
- Maria Kapsokefalou
- Department of Food Science and Human Nutrition, Agricultural University of Athens, 11855 Athens, Greece
- EuroFIR AISBL Executive Board, 1050 Brussels, Belgium
| | - Mark Roe
- EuroFIR AISBL Executive Board, 1050 Brussels, Belgium.
| | - Aida Turrini
- Research Centre for Food and Nutrition (CREA-Food and Nutrition), CREA-Council for Agricultural Research and Economics), 00178 Rome, Italy
| | - Helena S Costa
- EuroFIR AISBL Executive Board, 1050 Brussels, Belgium
- Department of Food and Nutrition, National Institute of Health Dr. Ricardo Jorge, I.P., 1649-016 Lisbon, Portugal
- REQUIMTE, LAQV/Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Emilio Martinez-Victoria
- Institute of Nutrition and Food Technology "José Mataix", University of Granada, 18016 Armilla (Granada), Spain
| | - Luisa Marletta
- Research Centre for Food and Nutrition (CREA-Food and Nutrition), CREA-Council for Agricultural Research and Economics), 00178 Rome, Italy
| | - Rachel Berry
- Quadram Institute Bioscience, Norwich, Norfolk NR4 7UA, UK
| | - Paul Finglas
- EuroFIR AISBL Executive Board, 1050 Brussels, Belgium
- Quadram Institute Bioscience, Norwich, Norfolk NR4 7UA, UK
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