SSD2 and FoodEx2 compliant real‐time registration and classification of food sampling data ‐ Improving Data Quality for Risk Assessment (IDRisk)

Abstract

The present report describes the work done under the IDRisk project (Improving Data quality for RISK assessment), within the grant agreement GP/EFSA/ENCO/2018/03, from the sign in on 12/12/2018. The main goal of this project was to improve quality of raw occurrence data for risk assessment by reducing error, incrementing completeness and timeliness both in data fields and food classification, and simultaneously reducing the workload and time-consuming manual tasks and therefore allowing scientists more time for data analysis and for performing risk assessment. The improvements are reflected on the strengthening of food safety risk assessment capacity of the countries involved and contributing to a better evaluation on risks associated with the food chain by EFSA. The objectives proposed and results achieved by this project presents a solution to improve data collection, management and interoperability, facilitating data exchange, with robust methodologies and tools, allowing the competent authorities to substantially enhance their own National Data Management Systems (NDMS). The proposed solution consists of the implementation of a system capable of realtime sample data collection, based on preparatory digital forms, as well as an automatic approach to FoodEx2 classification of food samples using the existing knowledge and NDMS's databases. The aim of such system is to automate the whole execution of the official control plans and data transmission to EFSA, while mitigating the errors that normally accumulate throughout the process as a result of data manually handled by several people and of the consequent amount of inaccurate information that is produced. It was expected that the proposed solution could increase the data quality, through robust sample collection that could be monitored online and in real time, reducing the risk of misidentification/management. This document also describes the challenges encountered during the implementation of the project, and provides a general analysis on its limitations and potential future developments.

2023 Annual Report of the Advisory Group on Data

“…This task is funded through Focal Point agreements with Portugal, which is the leading country, and with Germany and Denmark, which will be involved in the next development steps of this project. This activity is a continuation of the ID Risk project (Nabais, P., et al, 2022), carried out jointly by Portugal and Croatia. The main objective of this project was to build capacity in the collection, management and transmission of official control data in order to produce data of robust quality to contribute to risk assessment activities.…”