Cavalli Ermanno, Gilsenan Mary, Van Doren Jane, Grahek-Ogden 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
European Food Safety Authority (EFSA) IT.
Food and Drug Administration (FDA) USA.
EFSA J. 2019 Jul 8;17(Suppl 1):e170704. doi: 10.2903/j.efsa.2019.e170704. eCollection 2019 Jul.
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.
证据(“数据”)是欧洲食品安全局2020年战略的核心,并在其三个业务目标中有所体现:(1)采用开放数据方法;(2)提高数据的互操作性以促进数据交换;(3)向结构化科学数据转变。在过去十年中,数据的生成和可得性呈指数级增长,这有可能为风险评估提供更大的证据基础,预计获取和管理支持未来食品安全风险评估的证据将成为欧洲食品安全局未来战略的一个主要特征。在欧洲食品安全局第三届科学大会“科学、食品、社会”的“管理证据”分组会议期间,针对应用于食品安全风险评估的证据管理,讨论了当前面临的挑战和未来的发展,其中考虑到了可用证据数量的增加以及获取和分析这些证据的信息技术能力的提升。本文报告了该会议期间的发言和讨论情况,这些发言和讨论主要围绕以下三个主题展开:(1)(大)数据的可得性和(大)数据的连接;(2)问题的提出;(3)证据的整合。