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Metadata Management for Data Integration in Medical Sciences

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dc.contributor.authorKirsten, Toralf
dc.contributor.authorKiel, Alexander
dc.contributor.authorRühle, Mathias
dc.contributor.authorWagner, Jonas
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorNicklas, Daniela
dc.contributor.editorLeymann, Frank
dc.contributor.editorSchöning, Harald
dc.contributor.editorHerschel, Melanie
dc.contributor.editorTeubner, Jens
dc.contributor.editorHärder, Theo
dc.contributor.editorKopp, Oliver
dc.contributor.editorWieland, Matthias
dc.date.accessioned2017-06-20T20:24:27Z
dc.date.available2017-06-20T20:24:27Z
dc.date.issued2017
dc.description.abstractClinical and epidemiological studies are commonly used in medical sciences. They typically collect data by using different input forms and information systems. Metadata describing input forms, database schemas and input systems are used for data integration but are typically distributed over different software tools; each uses portions of metadata, such as for loading (ETL), data presentation and analysis. In this paper, we describe an approach managing metadata centrally and consistently in a dedicated Metadata Repository (MDR). Metadata can be provided to different tools. Moreover, the MDR includes a matching component creating schema mappings as a prerequisite to integrate captured medical data. We describe the approach, the MDR infrastructure and provide algorithms for creating schema mappings. Finally, we show selected evaluation results. The MDR is fully operational and used to integrate data from a multitude of input forms and systems in the epidemiological study LIFE.en
dc.identifier.isbn978-3-88579-659-6
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2017)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-265
dc.subjectData Integration
dc.subjectSchema Matching
dc.subjectSchema Merging
dc.subjectMetadata Repository
dc.titleMetadata Management for Data Integration in Medical Sciencesen
dc.typeText/Conference Paper
gi.citation.endPage194
gi.citation.startPage175
gi.conference.date6.-10. März 2017
gi.conference.locationStuttgart
gi.conference.sessiontitleData Integration

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P265 - BTW2017 - Datenbanksysteme für Business, Technologie und Web