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.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4264263 | PMC |
http://dx.doi.org/10.1186/s12911-014-0106-6 | DOI Listing |
Adv Health Sci Educ Theory Pract
November 2024
University of Maryland Baltimore, School of Graduate Studies, Baltimore, MD, USA.
The interdisciplinary nature of health professions education requires exploration of problems by interdisciplinary research teams. Drawing on the Dynamics of Cross-disciplinary Research Development conceptual framework, this study explores the processes and experiences of an interdisciplinary research team, identifying elements of successful collaboration. Case study data were collected from a team of nine researchers from six universities.
View Article and Find Full Text PDFJ Clin Transl Sci
October 2023
Institute for Translational Sciences, University of Texas Medical Branch, Galveston, TX, USA.
Introduction: A recent literature review revealed no studies that explored teams that used an explicit theoretical framework for multiteam systems in academic settings, such as the increasingly important multi-institutional cross-disciplinary translational team (MCTT) form. We conducted an exploratory 30-interview grounded theory study over two rounds to analyze participants' experiences from three universities who assembled an MCTT in order to pursue a complex grant proposal related to research on post-acute sequelae of COVID-19, also called "long COVID." This article considers activities beginning with preliminary discussions among principal investigators through grant writing and submission, and completion of reviews by the National Center for Advancing Translational Sciences, which resulted in the proposal not being scored.
View Article and Find Full Text PDFSurg Endosc
April 2023
Department of Surgery, Massachusetts General Hospital, Boston, MA, USA.
Background: It is unclear how to best establish successful robotic training programs or if subspecialty robotic program principles can be adapted for general surgery practice. The objective of this study is to understand the perspectives of high-volume robotic surgical educators on best practices in robotic surgery training and to provide recommendations transferable across surgical disciplines.
Methods: This multi-institutional qualitative analysis involved semi-structured interviews with high-volume robotic educators from academic general surgery (AGS), community general surgery (CGS), urology (URO), and gynecology (GYN).
Research experience provides critical training for new biomedical research scientists. Students from underrepresented populations studying science, technology, engineering, and mathematics (STEM) are increasingly recruited into research pathways to diversify STEM fields. However, support structures outside of research settings designed to help these students navigate biomedical research pathways are not always available; nor are program support components outside the context of laboratory technical skills training and formal mentorship well understood.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!