Pineda-Pampliega Javier, Bernhard Annette, Hannisdal Rita, Ørnsrud Robin, Mathisen Gro Haarklou, Solstad Gisle, Rasinger Josef Daniel
Institute of Marine Research (IMR) Norwegian Scientific Committee for Food and Environment (VKM) Norway.
EFSA J. 2022 Dec 14;20(Suppl 2):e200917. doi: 10.2903/j.efsa.2022.e200917. eCollection 2022 Dec.
Risk and risk-benefit assessments of food are complex exercises, in which access to and use of several disconnected individual stand-alone databases is required to obtain hazard and exposure information. Data obtained from such databases ideally should be in line with the FAIR principles, i.e. the data must be Findable, Accessible, Interoperable and Reusable. However, often cases are encountered when one or more of these principles are not followed. In this project, we set out to assess if existing commonly used databases in risk assessment are in line with the FAIR principles. We also investigated how access, interoperability and reusability of data could be improved. We used the OpenFoodTox and the Seafood database as examples and showed how commonly used freely available open-source tools and repositories can be implemented in the data extraction process of risk assessments to increase data reusability and crosstalk across different databases.
食品的风险及风险效益评估是复杂的工作，需要访问和使用多个相互独立的单个孤立数据库来获取危害和暴露信息。理想情况下，从此类数据库获得的数据应符合FAIR原则，即数据必须是可查找、可访问、可互操作和可重复使用的。然而，经常会遇到不遵循这些原则中的一项或多项的情况。在本项目中，我们着手评估风险评估中现有的常用数据库是否符合FAIR原则。我们还研究了如何改进数据的访问、互操作性和可重复使用性。我们以OpenFoodTox和海鲜数据库为例，展示了如何在风险评估的数据提取过程中实施常用的免费开源工具和存储库，以提高数据的可重复使用性以及不同数据库之间的相互交流。
