Studies

To achieve data “FAIRification by standardisation” and enable the user community to integrate heterogeneous and complex data, recommendations and guidelines will be developed for the consistent use of domain-specific standards for data formats, as well as for consistent data descriptions based on established metadata standards and terminologies. This standardisation concept will be based on existing standards, such as ISO 20691 and will include the definition of a minimal metadata set for ...

This task T2.3 will target data quality as the “degree to which a set of inherent characteristics of data fulfils requirements” and provide consented standards and metrics to assess the data quality at different stages of the scientific data lifecycle. (1) It will first consider FAIR standards in collaboration with the FAIRMetrics group, FAIRsharing, and RDA FAIR Data Maturity Model group. (2) The second focus will be on adherence to defined data and metadata standards as recommended by nfdi4health ...

T2.4 will define standardisation requirements and develop guidelines, as well as standard-based solutions for data access and interoperability in the defined use cases. To ensure compatibility with existing efforts aiming to improve data interoperability in medicine and healthcare, T2.4 also will coordinate its work closely with the same standardisation initiatives and technical committees of standardisation organisations as T2.2. To enable a seamless access and exchange of health data within the ...

This task aims for policies for data management and publication in order to make data of public health studies findable and interoperable. To find information about studies and (meta-)data and to ensure their interoperability, it is necessary to document the descriptive core elements in a structured way already when planning projects. This applies both to data management and to the subsequent publication of research results and data and is particularly important for research projects handling ...