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      RMS: a platform for managing cross-disciplinary and multi-institutional research project collaboration

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          Abstract

          Background

          Cross-institutional cross-disciplinary collaboration has become a trend as researchers move toward building more productive and innovative teams for scientific research. Research collaboration is significantly changing the organizational structure and strategies used in the clinical and translational science domain. However, due to the obstacles of diverse administrative structures, differences in area of expertise, and communication barriers, establishing and managing a cross-institutional research project is still a challenging task. We address these challenges by creating an integrated informatics platform to reduce the barriers to biomedical research collaboration.

          Results

          The Request Management System (RMS) is an informatics infrastructure designed to transform a patchwork of expertise and resources into an integrated support network. The RMS facilitates investigators’ initiation of new collaborative projects and supports the management of the collaboration process. In RMS, experts and their knowledge areas are categorized and managed structurally to provide consistent service. A role-based collaborative workflow is tightly integrated with domain experts and services to streamline and monitor the life-cycle of a research project. The RMS has so far tracked over 1,500 investigators with over 4,800 tasks. The research network based on the data collected in RMS illustrated that the investigators’ collaborative projects increased close to 3 times from 2009 to 2012. Our experience with RMS indicates that the platform reduces barriers for cross-institutional collaboration of biomedical research projects.

          Conclusion

          Building a new generation of infrastructure to enhance cross-disciplinary and multi-institutional collaboration has become an important yet challenging task. In this paper, we share the experience of developing and utilizing a collaborative project management system. The results of this study demonstrate that a web-based integrated informatics platform can facilitate and increase research interactions among investigators.

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          Most cited references28

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          The meaning of translational research and why it matters.

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            The Impact of Research Collaboration on Scientific Productivity

            S Lee (2005)
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              The science of team science: overview of the field and introduction to the supplement.

              The science of team science encompasses an amalgam of conceptual and methodologic strategies aimed at understanding and enhancing the outcomes of large-scale collaborative research and training programs. This field has emerged rapidly in recent years, largely in response to growing concerns about the cost effectiveness of public- and private-sector investments in team-based science and training initiatives. The distinctive boundaries and substantive concerns of this field, however, have remained difficult to discern. An important challenge for the field is to characterize the science of team science more clearly in terms of its major theoretical, methodologic, and translational concerns. The articles in this supplement address this challenge, especially in the context of designing, implementing, and evaluating cross-disciplinary research initiatives. This introductory article summarizes the major goals and organizing themes of the supplement, draws links between the constituent articles, and identifies new areas of study within the science of team science.
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                Author and article information

                Contributors
                JakeLuo@uwm.edu
                cva9@case.edu
                cmp11@case.edu
                gq@case.edu
                Journal
                BMC Med Inform Decis Mak
                BMC Med Inform Decis Mak
                BMC Medical Informatics and Decision Making
                BioMed Central (London )
                1472-6947
                30 November 2014
                30 November 2014
                2014
                : 14
                : 1
                : 106
                Affiliations
                [ ]Center of Biomedical Data and Language Processing, University of Wisconsin Milwaukee, 2025 E Newport Avenue, Northwestern Quadrant-B, Room 6469, Milwaukee, Wisconsin 53211 USA
                [ ]Center for Clinical Investigation, BRB 109, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106 USA
                [ ]Division of Medical Informatics, 2103 Cornell Road, Wolstein Research Building, Room 6128, Ohio, 44106 USA
                [ ]School of Medicine, Case Western Reserve University, Cleveland, Ohio USA
                Article
                106
                10.1186/s12911-014-0106-6
                4264263
                25433526
                a19c9ae5-2616-48dd-840f-f4e13305fb29
                © Luo et al.; licensee BioMed Central Ltd. 2014

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 19 May 2014
                : 3 November 2014
                Categories
                Software
                Custom metadata
                © The Author(s) 2014

                Bioinformatics & Computational biology
                biomedical research,organization & administration,research collaboration,system design and development,collaborative research,communication networks,systems integration,data-driven analysis

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