FNS data standardisation and interoperability

WP Leader: JSI (SI)

Beneficiaries: QIB (UK), PMT (CH), JdlC (ES), EuroFIR (BE), DTU (DK), Hyve (NL), UM (NL), GS1 (SI), SF (BG), CAP (RS), UniFi (IT)


Define advanced methodologies for handling heterogeneous FNS data, specifically
  1. Prepare and integrate FNS data from a variety of sources for analysis, visualisation, etc.
  2. Develop technical services for mapping FNS data to research questions via search/ filter criteria
  3. Enable pre-processing of semi-structured and unstructured FNS data
  4. Allow curation and annotation FNS data with rich descriptors
  5. Facilitate matching of FNS data that are described and classified in different ways
  6. Support analysis and visualisation of FNS data

Benefits for FNS-Cloud users

Benefits for users

Advanced methodologies offered by FNS-Cloud will help users upload and integrate FNS data with other information and present their findings.

Some of the tools and services be developed by FNS-Cloud whilst others will come from other projects (e.g. ENPADASI, EuroDISH, GA4GH, ISO-FOOD, REACH-4-USEtox, RICHFIELDS), ESFRI Research Infrastructures (BBMRI ERIC, ELIXIR Europe, PRO-METROFOOD) and providers, such as EuroFIR AISBL, Quisper ASBL and NuGO.


20 February 2020 | By invitation

Food and nutrition ontologies

Aim: discuss state-of-the-art in food and nutrition ontologies and the priorities for FNS-Cloud

Food Nutrition Security Cloud (FNS-Cloud) has received funding from the European Union’s Horizon 2020 Research and Innovation programme (H2020-EU. – A sustainable and competitive agri-food industry) under Grant Agreement No. 863059. Information and views set out across this website are those of the Consortium and do not necessarily reflect the official opinion or position of the European Union. Neither European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use that may be made of the information contained herein.

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