Diane Benford
The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment
Benford, Diane; Halldorsson, Thorhallur; Jeger, Michael John; Knutsen, Helle Katrine; More, Simon; Naegeli, Hanspeter; Noteborn, Hubert; Ockleford, Colin; Ricci, Antonia; Rychen, Guido; Schlatter, Josef R; Silano, Vittorio; Solecki, Roland; Turck, Dominique; Younes, Maged; Craig, Peter; Hart, Andrew; Von Goetz, Natalie; Koutsoumanis, Kostas; Mortensen, Alicja; Ossendorp, Bernadette; Germini, Andrea; Martino, Laura; Merten, Caroline; Mosbach‐Schulz, Olaf; Smith, Anthony; Hardy, Anthony
Authors
Thorhallur Halldorsson
Michael John Jeger
Helle Katrine Knutsen
Simon More
Hanspeter Naegeli
Hubert Noteborn
Colin Ockleford
Antonia Ricci
Guido Rychen
Josef R Schlatter
Vittorio Silano
Roland Solecki
Dominique Turck
Maged Younes
Professor Peter Craig p.s.craig@durham.ac.uk
Emeritus Professor
Andrew Hart
Natalie Von Goetz
Kostas Koutsoumanis
Alicja Mortensen
Bernadette Ossendorp
Andrea Germini
Laura Martino
Caroline Merten
Olaf Mosbach‐Schulz
Anthony Smith
Anthony Hardy
Abstract
To meet the general requirement for transparency in EFSA's work, all its scientific assessments must consider uncertainty. Assessments must say clearly and unambiguously what sources of uncertainty have been identified and what is their impact on the assessment conclusion. This applies to all EFSA's areas, all types of scientific assessment and all types of uncertainty affecting assessment. This current Opinion describes the principles and methods supporting a concise Guidance Document on Uncertainty in EFSA's Scientific Assessment, published separately. These documents do not prescribe specific methods for uncertainty analysis but rather provide a flexible framework within which different methods may be selected, according to the needs of each assessment. Assessors should systematically identify sources of uncertainty, checking each part of their assessment to minimise the risk of overlooking important uncertainties. Uncertainty may be expressed qualitatively or quantitatively. It is neither necessary nor possible to quantify separately every source of uncertainty affecting an assessment. However, assessors should express in quantitative terms the combined effect of as many as possible of identified sources of uncertainty. The guidance describes practical approaches. Uncertainty analysis should be conducted in a flexible, iterative manner, starting at a level appropriate to the assessment and refining the analysis as far as is needed or possible within the time available. The methods and results of the uncertainty analysis should be reported fully and transparently. Every EFSA Panel and Unit applied the draft Guidance to at least one assessment in their work area during a trial period of one year. Experience gained in this period resulted in improved guidance. The Scientific Committee considers that uncertainty analysis will be unconditional for EFSA Panels and staff and must be embedded into scientific assessment in all areas of EFSA's work.
Citation
Benford, D., Halldorsson, T., Jeger, M. J., Knutsen, H. K., More, S., Naegeli, H., …Hardy, A. (2018). The principles and methods behind EFSA's Guidance on Uncertainty Analysis in Scientific Assessment. EFSA Journal, 16(1), Article e05122. https://doi.org/10.2903/j.efsa.2018.5122
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 15, 2017 |
Online Publication Date | Jan 24, 2018 |
Publication Date | Jan 24, 2018 |
Deposit Date | Jan 25, 2018 |
Publicly Available Date | Jan 30, 2018 |
Journal | EFSA Journal |
Print ISSN | 1831-4732 |
Publisher | Wiley Open Access |
Peer Reviewed | Peer Reviewed |
Volume | 16 |
Issue | 1 |
Article Number | e05122 |
DOI | https://doi.org/10.2903/j.efsa.2018.5122 |
Public URL | https://durham-repository.worktribe.com/output/1340144 |
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Copyright Statement
© 2018 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority. This is an open access article under the terms of the Creative Commons Attribution-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited and no modifications or adaptations are made.
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