Category Research project
  • Expositionsschätzung

Data Model Mapping Tool & Data Capture @ point of sampling

Project status
In Progress
Project start
Oct 2023
Project end
Mar 2026
Acronym
-
Department
Internationale Angelegenheiten

Description and Objective

The project aims at developing a data model mapping software based on machine learning algorithms and large language models. For the German side, the BVLshort forGerman Federal Office of Consumer Protection and Food Safety contributes with expertise, test data, software testing and formulation of requirements. Each year, the EU member states provide huge amount of data to the European Food Safety Agency (EFSAshort forEuropean Food Safety Authority). The challenge consists in mapping national into EFSAshort forEuropean Food Safety Authority's data model. Most country fulfill this task with the help of manual translation of national into EFSAshort forEuropean Food Safety Authority data. The resulting software should automatically map national data models into EFSAshort forEuropean Food Safety Authority's SSD2 data format. In a first phase, a 12 month pre-study resulted in the identification and documentation of requirements, use cases, priorities and options regarding hardware and software architecture. Furthermore, a first prototype of the software was elaborated. In a planned implementation project over 30 months, this prototype should be further elaborated in order to develop a software ready for production modeModeTo glossary. In consultation with EFSAshort forEuropean Food Safety Authority the sub-project 4.6b will not be implemented.
Type of project

Third-party funded project

BFR research focus

Internationale Zusammenarbeit / Gesundheit von Mensch, Tier und Umwelt (One Health)

Organisational units and partners

Lead specialist group: Internationale Angelegenheiten (INT)
Contact persons: Dr. Majlinda Lahaniatis
External partner: Bundesamt für Verbraucherschutz und Lebensmittelsicherheit

Funding body and grant number

Europäische Behörde für Lebensmittelsicherheit
GP/EEFSA/ENREL/2022/03-SA03

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