NFDI4Health T2.3: Data quality and data provenance

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 T2.2 and as developed in several initiatives (e.g. HL7, CDISC, SNOMED CT, LOINC, openEHR, EU-STANDS4PM8, COMBINE10, MAELSTROEM, MII, etc.). (3) The third focus will be on the adequate representation of metadata related to provenance – both of the data sources and of the data workflow (extraction, integration etc.). (4) The fourth focus will be on data quality in the measured clinical data itself to provide a solid basis for data management, data harmonisation, and subsequent scientific analyses.

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Created: 11th Dec 2020 at 18:29

Last updated: 11th Dec 2020 at 18:39

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