Open AccessManaging evidence in food safety and nutrition
Author(s) -
Cavalli Ermanno,
Gilsenan Mary,
Van Doren Jane,
GrahekOgden Danica,
Richardson Jane,
Abbinante Fabrizio,
Cascio Claudia,
Devalier Paul,
Brun Nikolai,
Linkov Igor,
Marchal Kathleen,
Meek Bette,
Pagliari Claudia,
Pasquetto Irene,
Pirolli Peter,
Sloman Steven,
Tossounidis Lazaros,
Waigmann Elisabeth,
Schünemann Holger,
Verhagen Hans
Publication year - 2019
Publication title -
efsa journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.076
H-Index - 97
ISSN - 1831-4732
DOI - 10.2903/j.efsa.2019.e170704
Subject(s) - interoperability , food safety , session (web analytics) , risk analysis (engineering) , business , risk management , scientific evidence , risk assessment , computer science , computer security , biology , food science , philosophy , finance , epistemology , advertising , operating system
Evidence (‘data’) is at the heart of EFSA 's 2020 Strategy and is addressed in three of its operational objectives: (1) adopt an open data approach, (2) improve data interoperability to facilitate data exchange, and (3) migrate towards structured scientific data. As the generation and availability of data have increased exponentially in the last decade, potentially providing a much larger evidence base for risk assessments, it is envisaged that the acquisition and management of evidence to support future food safety risk assessments will be a dominant feature of EFSA 's future strategy. During the breakout session on ‘Managing evidence’ of EFSA 's third Scientific Conference ‘Science, Food, Society’, current challenges and future developments were discussed in evidence management applied to food safety risk assessment, accounting for the increased volume of evidence available as well as the increased IT capabilities to access and analyse it. This paper reports on presentations given and discussions held during the session, which were centred around the following three main topics: (1) (big) data availability and (big) data connection, (2) problem formulation and (3) evidence integration.