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

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2014
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Title
RMS: a platform for managing cross-disciplinary and multi-institutional research project collaboration
Published in
BMC Medical Informatics and Decision Making, November 2014
DOI 10.1186/s12911-014-0106-6
Pubmed ID
Authors

Jake Luo, Carolyn Apperson-Hansen, Clara M Pelfrey, Guo-Qiang Zhang

Abstract

BackgroundCross-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 problems by creating an integrated informatics platform to reduce the barriers to biomedical research collaboration.ResultsThe 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 the barriers for cross-institutional collaboration of biomedical research projects.ConclusionBuilding 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 designing 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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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Unknown 53 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 16%
Student > Master 7 13%
Researcher 7 13%
Other 5 9%
Student > Doctoral Student 4 7%
Other 8 14%
Unknown 16 29%
Readers by discipline Count As %
Social Sciences 7 13%
Nursing and Health Professions 6 11%
Agricultural and Biological Sciences 5 9%
Computer Science 5 9%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 12 21%
Unknown 18 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 December 2014.
All research outputs
#14,205,797
of 22,772,779 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,100
of 1,984 outputs
Outputs of similar age
#191,830
of 361,296 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#21
of 36 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,984 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 361,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.