001     142120
005     20240229105145.0
024 7 _ |a pmid:30147075
|2 pmid
024 7 _ |a 0926-9630
|2 ISSN
024 7 _ |a 1879-8365
|2 ISSN
024 7 _ |a DOI:10.3233/978-1-61499-896-9-209
|2 doi
037 _ _ |a DKFZ-2018-02350
041 _ _ |a eng
082 _ _ |a 300
100 1 _ |a Schaaf, Jannik
|b 0
245 _ _ |a OSSE Goes FAIR - Implementation of the FAIR Data Principles for an Open-Source Registry for Rare Diseases.
260 _ _ |a Amsterdam
|c 2018
|b IOS Press
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1690545158_11049
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a The Open Source Registry for Rare Diseases (OSSE) provides a concept and a software for the management of registries for patients with rare diseases. A disease is defined as rare if less than 5 out of 10,000 people are affected. Up to date, approximately 6,000 rare diseases are catalogued. Networking and data exchange for research purposes remains challenging due to the paucity of interoperability and due to the fact that small data stocks are stored locally. The so called 'Findable, Accessible, Interoperable, Reusable' (FAIR) Data Principles have been developed to improve research in the field of rare diseases. Subsequently, the OSSE architecture was adapted to implement the FAIR Data Principles. Therefore, the so-called FAIR Data Point was integrated into OSSE to provide a description of metadata in a FAIR manner. OSSE relies on the existing metadata repository (MDR), which is used in to define data elements in the system. This is an important step towards unified documentation across multiple registries. The integration and use of new procedures to improve interoperability plays an important role in the context of registries for rare diseases.
536 _ _ |a 317 - Translational cancer research (POF3-317)
|0 G:(DE-HGF)POF3-317
|c POF3-317
|f POF III
|x 0
588 _ _ |a Dataset connected to PubMed,
700 1 _ |a Kadioglu, Dennis
|b 1
700 1 _ |a Goebel, Jens
|b 2
700 1 _ |a Behrendt, Christian-Alexander
|b 3
700 1 _ |a Roos, Marco
|b 4
700 1 _ |a van Enckevort, David
|b 5
700 1 _ |a Ückert, Frank
|0 P:(DE-He78)28406352f67b7b6d43b303a4e955147a
|b 6
700 1 _ |a Sadiku, Fatlume
|0 P:(DE-He78)93df25d57a5110d3c80fd7f992a15770
|b 7
|u dkfz
700 1 _ |a Wagner, Thomas O F
|b 8
700 1 _ |a Storf, Holger
|b 9
773 _ _ |a DOI:10.3233/978-1-61499-896-9-209
|g Vol. 253
|0 PERI:(DE-600)1088535-3
|p 209-213
|t Studies in health technology and informatics
|v 253
|y 2018
|x 0926-9630
909 C O |p VDB
|o oai:inrepo02.dkfz.de:142120
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-He78)28406352f67b7b6d43b303a4e955147a
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 P:(DE-He78)93df25d57a5110d3c80fd7f992a15770
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-317
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-300
|4 G:(DE-HGF)POF
|v Translational cancer research
|x 0
914 1 _ |y 2018
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
920 1 _ |0 I:(DE-He78)G230-20160331
|k G230
|l Medizinische Informatik in der Translationalen Onkologie
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)G230-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21