| Literature DB >> 30147039 |
Dennis Kadioglu1, Bernhard Breil2, Christian Knell3, Martin Lablans4, Sebastian Mate3, Danijela Schlue5, Hubert Serve6, Holger Storf1, Frank Ückert4, Thomas Wagner7, Paul Weingardt8, Hans-Ulrich Prokosch3.
Abstract
Collaboration 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.Keywords: Metadata; data integration; interoperability; research networks
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Year: 2018 PMID： 30147039
Source DB: PubMed Journal: Stud Health Technol Inform ISSN： 0926-9630