title: How to Assess Data Availability, Accessibility and Format for Risk Analysis?
abstract: Risk assessments are mostly carried out based on available data, which do not reflect all data theoretically required by experts to answer them. This study aimed at developing a methodology to assess data availability, accessibility and format, based on a scoring system and focusing on two diseases: Venezuelan equine encephalomyelitis (VEE), still exotic to Europe, and alveolar echinococcosis, caused by Echinococcus multilocularis (EM), endemic in several Member States (MSs). After reviewing 36 opinions of the EFSA-AHAW Panel on risk assessment of animal health questions, a generic list of needed data was elaborated. The methodology consisted, first, in implementing a direct and an indirect survey to collect the data needed for both case studies: the direct survey consisted in a questionnaire sent to contact points of three European MSs (Belgium, France and the Netherlands), and the organization of a workshop gathering experts on both diseases. The indirect survey, focusing on the three MSs involved in the direct survey plus Spain, relied on web searches. Secondly, a scoring system with reference to data availability, accessibility and format was elaborated, to, finally, compare both diseases and data between MSs. The accessibility of data was generally related to their availability. Web searches resulted in more data available for VEE compared to EM, despite its current exotic status in the European Union. Hypertext markup language and portable document files were the main formats of available data. Data availability, accessibility and format should be improved for research scientists/assessors. The format of data plays a key role in the feasibility and rapidness of data management and analysis, through a prompt compilation, combination and aggregation in working databases. Harmonization of data collection process is encouraged, according to standardized procedures, to provide useful and reliable data, both at the national and the international levels for both animal and human health; it would allow assessing data gaps through comparative studies. The present methodology is a good way of assessing the relevance of data for risk assessment, as it allows integrating the uncertainty linked to the quality of data used. Such an approach could be described as transparent and traceable and should be performed systematically.
authors: Research Unit in Epidemiology and Risk Analysis applied to veterinary sciences (UREAR-ULg), Department of Infectious and Parasitic Diseases, Faculty of Veterinary Medicine, University of Liege, Liege, Belgium.
authors: M-F
authors: MF
authors: Humblet
authors: Research Unit in Epidemiology and Risk Analysis applied to veterinary sciences (UREAR-ULg), Department of Infectious and Parasitic Diseases, Faculty of Veterinary Medicine, University of Liege, Liege, Belgium.
authors: S
authors: S
authors: Vandeputte
authors: Research Unit in Epidemiology and Risk Analysis applied to veterinary sciences (UREAR-ULg), Department of Infectious and Parasitic Diseases, Faculty of Veterinary Medicine, University of Liege, Liege, Belgium.
authors: C
authors: C
authors: Mignot
authors: French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Maisons-Alfort, France.
authors: C
authors: C
authors: Bellet
authors: Central Veterinary Institute (CVI), Wageningen UR, Lelystad, The Netherlands.
authors: A
authors: A
authors: De Koeijer
authors: Central Veterinary Institute (CVI), Wageningen UR, Lelystad, The Netherlands.
authors: M
authors: M
authors: Swanenburg
authors: Animal Health and Welfare Unit (AHAW) Panel, European Food Safety Authority (EFSA), Parma, Italy.
authors: A
authors: A
authors: Afonso
authors: French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Maisons-Alfort, France.
authors: M
authors: M
authors: Sanaa
authors: Research Unit in Epidemiology and Risk Analysis applied to veterinary sciences (UREAR-ULg), Department of Infectious and Parasitic Diseases, Faculty of Veterinary Medicine, University of Liege, Liege, Belgium. claude.saegerman@ulg.ac.be.
authors: C
authors: C
authors: Saegerman
mesh_terms: D000818:Animals; D001530:Belgium / Q000453:epidemiology; D000068598:Data Accuracy; D003625:Data Collection / Q000379:methods*; D004443:Echinococcosis; D004444:Echinococcosis, Hepatic / Q000453:epidemiology*; D004685:Encephalomyelitis, Venezuelan Equine / Q000453:epidemiology*; D005062:European Union; D005602:France / Q000453:epidemiology; D006801:Humans; D009426:Netherlands / Q000453:epidemiology; D012107:Research Design; D018570:Risk Assessment; D013030:Spain / Q000453:epidemiology; D011795:Surveys and Questionnaires; D015047:Zoonoses
keywords: Venezuelan equine encephalomyelitis; alveolar echinococcosis; data inventory; data quality; data sources; risk assessment