Developing a framework for open and FAIR data management practices for next generation risk- and benefit assessment of fish and seafood

Javier Pineda-Pampliega; Annette Bernhard; Rita Hannisdal; Robin Ørnsrud; Gro Haarklou Mathisen; Gisle Solstad; Josef Daniel Rasinger

doi:10.2903/j.efsa.2022.e200917

Developing a framework for open and FAIR data management practices for next generation risk- and benefit assessment of fish and seafood

EFSA J. 2022 Dec 14;20(Suppl 2):e200917. doi: 10.2903/j.efsa.2022.e200917. eCollection 2022 Dec.

Authors

Javier Pineda-Pampliega¹, Annette Bernhard¹, Rita Hannisdal¹, Robin Ørnsrud¹, Gro Haarklou Mathisen¹, Gisle Solstad¹, Josef Daniel Rasinger¹

Affiliation

¹ Institute of Marine Research (IMR) Norwegian Scientific Committee for Food and Environment (VKM) Norway.

Abstract

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.

Keywords: FAIR; OpenFoodTox; R; Seafood database; Shiny; Zenodo.