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Data quality for federated medical data lakelands

            

Publication by BBMRI.at partner Alpen Adria University  

Data quality for federated medical data lakelands

July 2021

 

                                                                                                                                    

 Johann Eder, Vladimir A. Shekhovtsov

International Journal of Web Information Systems Vol. 17 No. 5, 2021 pp. 407-426

Emerald Publishing Limited 1744-0084, DOI 10.1108/IJWIS-03-2021-0026

 

Medical research requires biological material and data of high quality as they are associated with / in biobanks. Medical studies based on data with unknown or questionable quality are useless or even dangerous

The authors of this paper propose an IT architecture to support researchers to efficiently and effectively identify relevant collections of material and data with documented quality for their research projects while observing strict privacy rules.

They describe the landscape of biobanks as federated medical data lakes such as the collections of samples and their annotations in the European federation of biobanks BBMRI-ERIC and developed a conceptual model capturing schema information with quality annotation. 

 

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Emerald Publishing Limited