Auflistung nach Autor:in "Wagner, Jonas"
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- KonferenzbeitragMetadata Management for Data Integration in Medical Sciences(Datenbanksysteme für Business, Technologie und Web (BTW 2017), 2017) Kirsten, Toralf; Kiel, Alexander; Rühle, Mathias; Wagner, JonasClinical 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.
- TextdokumentSelecting, Packaging, and Granting Access for Sharing Study Data(INFORMATIK 2017, 2017) Kirsten, Toralf; Kiel, Alexander; Wagner, Jonas; Rühle, Mathias; Löffler, MarkusData in medical studies and research projects are captured, curated and analyzed, often, with a substantial personal and financial effort. Such study data are typically managed by institutions and groups who are involved in these studies and projects. Often, they are refrained by these institutions and, thus, not shared with other scientists who are interested in similar medical topics or hypotheses. Open the data for other scientists will speed up medical insights, enable analyzes which currently lacks data amount either by enlarge the set size of study objects and by finding suitable controls, and allow to validate published results taking data from other studies into account. In this paper, we introduce the data sharing approach we use at the LIFE Research Center for Civilization Diseases, University Leipzig. Our approach is influenced by the OAIS reference model for archiving and distributing data to a designated community. We highlight several aspects of this approach, sketch the process and describe the supporting IT infrastructure. In particular, we outline the LIFE Data Portal and the LIFE Proposal Manager allowing to find, access, and reuse metadata and study data for dedicated analysis projects.