The science clusters use different metadata schema, based on strong and well-established domain standards, such as ECRIN metadata schema for clinical research, MIABIS for biobanks, DICOM for images. To address complex scientific and societal problems, the metadata of data objects managed by these different research infrastructures should be made interoperable. That 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 will focus specifically on data objects related to COVID-19:
- reviewing models for automatic raw and intermediate data preservation and sharing, including software and analysis workflows;
- identifying and share best practice;
- linking the catalogues with the emerging EOSC resources and the EOSC interoperability framework.
This work will align with, and enrich, the data currently being exposed within the European COVID-19 data portal.
Partners: SSHOC, EOSC-Life (ECRIN, BBMRI, EATRIS, Eu-OpenScreen).