Data Quality Team

Dagmar Jäger Clinical Trials Unit, Medical Center- University of Freiburg, Freiburg, Germany

Dipak Kalra The European Institute for Innovation through Health Data (i~HD), London, United Kingdom

François Dradin Telemedicine Technologies, Paris, France

Hannelore Aerts The European Institute for Innovation through Health Data (i~HD), London, United Kingdom

Jennifer Scott  Trinity Health Kidney Center, Trinity College, Dublin, Ireland

Karl Gisslander Lund University, Clinical Sciences, Rheumatology, Lund and Dept. of Rheumatology, Skåne University Hospital, Lund, Sweden

Kris McGlinn ADAPT Centre for Digital Content, O’Reilly Institute, Trinity College Dublin, Dublin, Ireland

Krzysztof Wójcik Jagiellonian University Krakow, Department of Medicine, Cracow, Poland

Matthew Henry ADAPT Centre for Digital Content, O’Reilly Institute, Trinity College Dublin, Dublin, Ireland

Matthew Rutherford University of Glasgow, Institute of Infection, immunity & Inflamation, Glasgow, United Kingdom

Raissa de Boer Lund University, Clinical Sciences, Rheumatology, Lund and Dept. of Rheumatology, Skåne University Hospital, Lund, Sweden

Zdenka Hruskova General University Hospital in Prague, Department of Nephrology, Prague, Czech Republic

The Data Quality Team has seen involvement from individuals with a broad range of expertise in domains such as medical informatics, statistics, clinical research and, of course, data quality. An initial workflow has been designed to address data quality concepts such as Uniqueness (checking for duplication), Consistency (ensuring data is in an expected form, within plausible ranges and meets logical tests), Completeness (missing data check), and Correctness (checking against a ‘gold standard’ source of information). This work has been undertaken by all partner registries and to date has revealed data quality of a standard that is highly suitable for use in the FAIRVASC project.