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000142057 0247_ $$2ISSN$$a1879-8365
000142057 0247_ $$2doi$$aDOI:10.3233/978-1-61499-896-9-50
000142057 037__ $$aDKFZ-2018-02287
000142057 041__ $$aeng
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000142057 1001_ $$aKadioglu, Dennis$$b0
000142057 245__ $$aSamply.MDR - A Metadata Repository and Its Application in Various Research Networks.
000142057 260__ $$aAmsterdam$$bIOS Press$$c2018
000142057 3367_ $$2DRIVER$$aarticle
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000142057 520__ $$aCollaboration in medical research is becoming common, especially for collecting relevant cases across institutional boundaries. If the data, which is usually very heterogeneously formalized and structured, can be integrated, such a collaboration can facilitate research. An absolute prerequisite for this is an extensive description about the formalization and exact meaning of every data element contained in a dataset. This information is commonly known as metadata. Various research networking projects tackle this challenge with the development of concepts and IT tools. The Samply Metadata Repository (Samply.MDR) is a solution for managing and publishing such metadata in a standardized and reusable way. In this article we present the structure and features of the Samply.MDR as well as its flexible usability by giving an overview about its application in various projects.
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000142057 7001_ $$aBreil, Bernhard$$b1
000142057 7001_ $$aKnell, Christian$$b2
000142057 7001_ $$0P:(DE-He78)e4ad7b4e684492de43cfcb12e5397439$$aLablans, Martin$$b3$$udkfz
000142057 7001_ $$aMate, Sebastian$$b4
000142057 7001_ $$aSchlue, Danijela$$b5
000142057 7001_ $$aServe, Hubert$$b6
000142057 7001_ $$aStorf, Holger$$b7
000142057 7001_ $$0P:(DE-He78)28406352f67b7b6d43b303a4e955147a$$aÜckert, Frank$$b8$$udkfz
000142057 7001_ $$aWagner, Thomas$$b9
000142057 7001_ $$aWeingardt, Paul$$b10
000142057 7001_ $$aProkosch, Hans-Ulrich$$b11
000142057 773__ $$0PERI:(DE-600)1088535-3$$aDOI:10.3233/978-1-61499-896-9-50$$gVol. 253$$p50-54$$tStudies in health technology and informatics$$v253$$x0926-9630$$y2018
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000142057 9141_ $$y2018
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000142057 9201_ $$0I:(DE-He78)G230-20160331$$kG230$$lMedizinische Informatik in der Translationalen Onkologie$$x0
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