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UC 42 — IFT-DB

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Key Information
Title
Expanding and Adapting the IsoFoodTrack Database
Acronym
IFT-DB
Coordinator
Jožef Stefan Institute (Slovenia)Research Institute
Duration
24 months
Budget
Not shown at your access level. Hidden
Maturity
Committed
Source
In Proposal
Use Case Summit Pitch
Research Data Infrastructures, Benchmark Datasets & Methods
Sectors
Arable cropFruitsVegetables
Data Types
Earth observation dataFarm Management Information Systems (FMIS) dataModels & Macro data
SRIA Activities

3.1.2 Data integration and data quality

  • 3.1.2.1 Data acquisition & re-use framework
  • 3.1.2.2 Link databases & computing capacities
  • 3.1.2.4 Reference data sets & non-discriminatory data

4.1 Public-private synergies (R&I activities)

  • 4.1.1.5 Develop reusable data-based solutions
Themes
Long-term experiments & databases
Partners (1)
  • Jožef Stefan InstituteP1
    Coordinator

    SloveniaResearch Institute

#OrganisationCountryType
P1Jožef Stefan InstituteCoordinatorSloveniaResearch Institute

Introduction IsoFoodTrack is a robust and extensible database developed by the Jožef Stefan Institute for managing isotopic and elemental composition data across food commodities. It enables structured storage, integration and retrieval of data enriched with metadata such as geographical parameters, farming practices, processing methods and analytical protocols. This information is essential for traceability, authenticity verification and fraud detection. Methodologies This Use Case will enhance IsoFoodTrack with new food types, analytical techniques and metadata requirements. It will expand the data schema, standardize data entry – make them FAIR, support interoperability through formats and APIs, and enable statistical and machine learning analysis for origin and production-pattern assessment. Output The main output will be an interoperable version of the IsoFoodTrack database, supporting newly integrated food commodities, analytical methods and customizable metadata fields. The deliverable will be a database design and functionalities report, developed as open as possible. Impact The upgraded platform will support food provenance (origin), safety, traceability, authenticity verification and food fraud detection. Isoscapes will help assess geographical origin and environmental influences on food composition. A user-friendly web interface will support efficient querying, visualization and export, while the open-access model will promote transparency, institutional collaboration and policy support. What I can offer Expertise in isotopic and elemental food data, IsoFood ontology, metadata structuring, isoscape generation, food authenticity, traceability and fraud detection. The Use Case also offers an existing platform that can be expanded and connected with external research infrastructures. What I need Support is needed for integrating new food commodities, expanding analytical methods, updating data structures, harmonizing metadata, developing APIs and ensuring interoperability. Collaboration is also needed for data sharing, pilot-study data, literature data integration, machine learning development and long-term platform uptake.

Source: Annual AgData Use Case Summit 2026 booklet.

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