RT Journal Article
T1 Developing a framework for open and FAIR data management practices for next generation risk‐ and benefit assessment of fish and seafood
A1 Pineda Pampliega, Javier
A1 Bernhard, Annette
A1 Hannisdal, Rita
A1 Ørnsrud, Robin
A1 Mathisen, Gro Haarklou
A1 Solstad, Gisle
A1 Rasinger, Josef Daniel
AB 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.
PB EFSA
SN 1831-4732
YR 2022
FD 2022
LK https://hdl.handle.net/20.500.14352/115496
UL https://hdl.handle.net/20.500.14352/115496
LA eng
NO Pineda-Pampliega J, Bernhard A, Hannisdal R, Ørnsrud R, Mathisen GH, Solstad G and Rasinger JD, 2022. Developing a framework for open and FAIR data management practices for next generation risk- and benefit assessment of fish and seafood. EFSA Journal 2022; 20(S2):e200917, 12 pp. https://doi.org/10.2903/j.efsa.2022.e200917
NO This report is funded by EFSA as part of the EU-FORA programme.
NO European Food Safety Authority
DS Docta Complutense
RD 30 dic 2025