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Towards Standardised Documentation of Data through taxonomies and ontologies (CSA)


The proposals should develop EU-wide standardised data documentation that ensures interoperability of data. The data documentation should take the form of an actionable ontology that consists of a top level ontology, adapted existing domain ontologies (such as manufacturing, materials processing, materials modelling, nano-safety, characterisation and life cycle sustainable analysis ontologies), complemented by new ontologies for other subdomains,.

In particular, the projects should:

  • Network relevant stakeholders to collect input on existing data documentation;
  • Develop and agree on a top level ontology to connect relevant subdomains of this work programme
  • Harmonise existing ontologies with respect to the top level ontology.
  • Develop and agree on new ontologies for relevant sub-domains of this work programme
  • Deliver at least ten demonstrators on the use of ontologies (decision systems, innovation projects, workflows, quality assurance, guided AI and d

    Standardised data documentation with metadata based on an agreed ontology[[An ontology consists of definitions of vocabulary, classes and relations between classes]] across the domains covered by this work programme is critical for the widest use of data and, ultimately, reliable end-user products.

    The challenge is for all relevant stakeholders to develop, test, validate and agree on data documentation to ensure consistency and interoperability of intra-and cross-domain specific taxonomies[[A taxonomy consists of definitions of vocabulary and classes]] and ontologies. The standardised data documentation should be developed with a global ambition through international cooperation.

    Proposals must address all the following impact criteria, providing metrics to measure success where appropriate

    • Enable a standardised and operational data documentation at intra- and cross-across domains covered by this work programme that meets the FAIR data principles;
    • Enable a mechanism to allow practical and user-friendly re-usability of data across domains and industrial sectors;
    • Enable a maintained and continuously developed ontology and data documentation to ensure long-term relevance and implementation;
    • Facilitate uptake of new project results;
    • Improved ability to build interoperable software solutions in materials, process and manufacturing;
    • A better integrated materials, processes, and manufacturing development environment in Europe from networking academics, innovation hubs and industry.