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@ARTICLE{Kadioglu:142057,
author = {D. Kadioglu and B. Breil and C. Knell and M. Lablans$^*$
and S. Mate and D. Schlue and H. Serve and H. Storf and F.
Ückert$^*$ and T. Wagner and P. Weingardt and H.-U.
Prokosch},
title = {{S}amply.{MDR} - {A} {M}etadata {R}epository and {I}ts
{A}pplication in {V}arious {R}esearch {N}etworks.},
journal = {Studies in health technology and informatics},
volume = {253},
issn = {0926-9630},
address = {Amsterdam},
publisher = {IOS Press},
reportid = {DKFZ-2018-02287},
pages = {50-54},
year = {2018},
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.},
cin = {G230},
ddc = {300},
cid = {I:(DE-He78)G230-20160331},
pnm = {317 - Translational cancer research (POF3-317)},
pid = {G:(DE-HGF)POF3-317},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:30147039},
doi = {DOI:10.3233/978-1-61499-896-9-50},
url = {https://inrepo02.dkfz.de/record/142057},
}