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      Requirements for data integration platforms in biomedical research networks: a reference model

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          Abstract

          Biomedical research networks need to integrate research data among their members and with external partners. To support such data sharing activities, an adequate information technology infrastructure is necessary. To facilitate the establishment of such an infrastructure, we developed a reference model for the requirements. The reference model consists of five reference goals and 15 reference requirements. Using the Unified Modeling Language, the goals and requirements are set into relation to each other. In addition, all goals and requirements are described textually in tables. This reference model can be used by research networks as a basis for a resource efficient acquisition of their project specific requirements. Furthermore, a concrete instance of the reference model is described for a research network on liver cancer. The reference model is transferred into a requirements model of the specific network. Based on this concrete requirements model, a service-oriented information technology architecture is derived and also described in this paper.

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          Most cited references27

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          R: A language and environment for statistical computing

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            Desiderata for controlled medical vocabularies in the twenty-first century.

            Builders of medical informatics applications need controlled medical vocabularies to support their applications and it is to their advantage to use available standards. In order to do so, however, these standards need to address the requirements of their intended users. Over the past decade, medical informatics researchers have begun to articulate some of these requirements. This paper brings together some of the common themes which have been described, including: vocabulary content, concept orientation, concept permanence, nonsemantic concept identifiers, polyhierarchy, formal definitions, rejection of "not elsewhere classified" terms, multiple granularities, multiple consistent views, context representation, graceful evolution, and recognized redundancy. Standards developers are beginning to recognize and address these desiderata and adapt their offerings to meet them.
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              Next-generation sequencing: adjusting to data overload

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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Francisco, USA )
                2167-8359
                5 February 2015
                2015
                : 3
                : e755
                Affiliations
                [-1]Institute of Medical Biometry and Informatics, Heidelberg University , Heidelberg, Germany
                Article
                755
                10.7717/peerj.755
                4327254
                25699205
                0cf0ae34-ba50-47ee-be69-110af44cc5a4
                © 2015 Ganzinger and Knaup

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 12 December 2014
                : 19 January 2015
                Funding
                Funded by: Deutsche Forschungsgemeinschaft
                Award ID: SFB/TRR 77
                This work was funded by the SFB/TRR 77 “Liver Cancer. From Molecular Pathogenesis to Targeted Therapies” of the Deutsche Forschungsgemeinschaft (DFG, http://www.dfg.de). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Bioinformatics
                Computational Science

                research network,reference model,data integration,biomedical informatics,service-oriented architecture

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