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Partners: Instruct-ERIC, EuroBioimaging

Project description

Although useful resources for data handling/integration are being developed, their visibility to the scientific community is limited due to lack of proper platforms that support their visibility. Additionally, long-term sustainability of resources is required (even if the projects are completed!). This is why this science project brings together the social science and humanities and life sciences clusters to assess the metadata schemas and domain catalogues to develop a strategy to map and relate the different schemas.

This project focused specifically on data objects related to COVID-19:

This work aligned with, and enriched, the data currently being exposed within the European COVID-19 data portal.

Technical challenge

Data silos emerged as a result of the huge amount of biological and chemical data generated by different scientific community (EU-OpenScreen, ChEMBL, Work Package partners, etc.). Therefore, there is a need to FAIRify the data to understand disease/medical conditions as a whole. The task in this project was to create a workflow for FAIR data and thus enable data integration/harmonisation. Additionally, such data are subjected to visualisation with semantic networks known as Knowledge Graphs. The KGs can further be used for making scientific queries or perform downstream analyses. In this project, reproducible workflows were created which enable time and cost effective KGs. In this process, APIs from public databases (ChEMBL, Uniprot and so on) were used to enrich the KG.

The EOSC Future added value

Main results

Other resources

The codebases for the KG resources are maintained at:


Poster: https://doi.org/10.5281/zenodo.7990992

KG hosted at NDex: https://doi.org/10.18119/N9SG7D