NFDI4Health T2.3: Data quality and data provenance
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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.
SEEK ID: https://fairdomhub.org/studies/805
Projects: nfdi4health - German National Research Data Infrastructure for Personal ...
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Created: 11th Dec 2020 at 17:29
Last updated: 11th Dec 2020 at 17:39
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Projects: FAIRDOM, Early Metabolic Injury (LiSyM-EMI - Pillar I), Chronic Liver Disease Progression (LiSyM-DP - Pillar II), Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF - Pillar III), LiSyM Core Infrastructure and Management (LiSyM-PD), Liver Function Diagnostics (LiSyM-LiFuDi - Pillar IV), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), Kinetics on the move - Workshop 2016, Example use cases, FAIRDOM user meeting, MS_DILI, COMBINE Multicellular Modelling, FAIRDOM & LiSyM & de.NBI Data Structuring Training, EnzymeML, GMDS Project Group "FAIRe Dateninfrastrukturen für die Biomedizinische Informatik", FAIRDOM Community Workers, COVID-19 Disease Map, COVID-19 related studies and tools in Germany, nfdi4health - German National Research Data Infrastructure for Personal Health Data, ModeleXchange initiative, SDBV/HITS, EDITH (Ecosystem Digital Twins in Health) test project
Institutions: Heidelberg Institute for Theoretical Studies (HITS gGmbH)
https://orcid.org/0000-0002-8683-7084
Data management and standardization expert for systems biology and systems medicine, responsible for the data management user requirements and user contacts within the German LiSyM network (Liver Systems Medicine: http://lisym.org/) and associated to the FAIRDOM team. Involved in different standardization initiatives and committees, i.e. COMBINE (http://co.mbine.org), ISO/TC 276 Biotechnology (https://www.iso.org/committee/4514241.html), European COST action CHARME (http://www.cost-charme.eu) and ...
Carsten Oliver Schmidt is Deputy head of the Department of SHIP/ Clinical-Epidemiological Research. He leads the functional division “Quality in the health Sciences”. The investigator is PI of several methods and research quality related projects, and speaker of the methods section of the German Society for Epidemiology. He works in the field of research methods, quality management, musculosceletal disorders, among others.
nfdi4health aims to create the most comprehensive inventory of German epidemiological, public health and clinical trial data to date. It builds a centralised data catalogue with elaborate search functionalities, sophisticated data access management, and a data analysis toolbox, while respecting stringent requirements for privacy concerning personal health data. Standardisation services ensure a high degree of interoperability. Use cases covering prototypical study types and areas of research show ...
Projects: COVID-19 related studies and tools in Germany, nfdi4health - German National Research Data Infrastructure for Personal Health Data
Web page: https://www.nfdi4health.de
nfdi4health aims to create the most comprehensive inventory of German epidemiological, public health and clinical trial data to date. It builds a centralised data catalogue with elaborate search functionalities, sophisticated data access management, and a data analysis toolbox, while respecting stringent requirements for privacy concerning personal health data. Standardisation services ensure a high degree of interoperability. Use cases covering prototypical study types and areas of research show ...
Programme: nfdi4health - German National Research Data Infrastructure for Personal Health Data
Public web page: https://www.nfdi4health.de
Start date: 1st Jul 2020
NFDI4Health task area 2 targets core deficits in medical sciences, i.e. the lack of harmonised standards for data and data quality management in clinical trials, public health surveys, and epidemiological cohorts, as well as the lack of information on and access to relevant standards. By making standards available, TA2 will improve the findability, accessibility and interoperability of existing and novel data bodies. For this purpose, guidelines, standards and policies on data management and ...
Submitter: Martin Golebiewski
Studies: NFDI4Health T2.1: Data management and publication policies, NFDI4Health T2.2: Data and metadata standards and integration, NFDI4Health T2.3: Data quality and data provenance, NFDI4Health T2.4: Standardisation of health data access and interoperabi...
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