Display options
Cite
Obeid JS, Johnson LM, Stallings S, et al. Research Networking Systems: The State of Adoption at Institutions Aiming to Augment Translational Research Infrastructure. J Transl Med Epidemiol. 2014;2(2):1026
Obeid, J. S., Johnson, L. M., Stallings, S., & Eichmann, D. (2014). Research Networking Systems: The State of Adoption at Institutions Aiming to Augment Translational Research Infrastructure. Journal of translational medicine & epidemiology, 2(2), 1026.
Obeid, Jihad S, et al. "Research Networking Systems: The State of Adoption at Institutions Aiming to Augment Translational Research Infrastructure." Journal of translational medicine & epidemiology vol. 2,2 (2014): 1026.
Obeid JS, Johnson LM, Stallings S, Eichmann D. Research Networking Systems: The State of Adoption at Institutions Aiming to Augment Translational Research Infrastructure. J Transl Med Epidemiol. 2014;2(2):1026. Epub 2014 Aug 02. PMID: 26491707; PMCID: PMC4610407.
Copy Download .nbib Format: NLM
Share it on

J Transl Med Epidemiol. 2014;2(2):1026. Epub 2014 Aug 02.

Research Networking Systems: The State of Adoption at Institutions Aiming to Augment Translational Research Infrastructure.

Journal of translational medicine & epidemiology

Jihad S Obeid, Layne M Johnson, Sarah Stallings, David Eichmann

Affiliations

  1. South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, USA.
  2. Institute for Health Informatics, University of Minnesota, Minneapolis, USA.
  3. Vanderbilt Institution for Clinical and Translational Research, Vanderbilt University Medical Center, USA.
  4. School of Library and Information Science, University of Iowa, USA.

PMID: 26491707 PMCID: PMC4610407

Abstract

Fostering collaborations across multiple disciplines within and across institutional boundaries is becoming increasingly important with the growing emphasis on translational research. As a result, Research Networking Systems that facilitate discovery of potential collaborators have received significant attention by institutions aiming to augment their research infrastructure. We have conducted a survey to assess the state of adoption of these new tools at the Clinical and Translational Science Award (CTSA) funded institutions. Survey results demonstrate that most CTSA funded institutions have either already adopted or were planning to adopt one of several available research networking systems. Moreover a good number of these institutions have exposed or plan to expose the data on research expertise using linked open data, an established approach to semantic web services. Preliminary exploration of these publically-available data shows promising utility in assessing cross-institutional collaborations. Further adoption of these technologies and analysis of the data are needed, however, before their impact on cross-institutional collaboration in research can be appreciated and measured.

Keywords: Collaboration science; Informatics; Linked data; Translational science

References

  1. J Biomed Inform. 2009 Apr;42(2):377-81 - PubMed
  2. N Engl J Med. 2005 Oct 13;353(15):1621-3 - PubMed
  3. J Am Med Inform Assoc. 2011 Dec;18 Suppl 1:i157-60 - PubMed
  4. J Med Internet Res. 2012 Jun 05;14(3):e75 - PubMed
  5. J Transl Med. 2013 May 24;11:126 - PubMed
  6. Database (Oxford). 2012 Mar 20;2012:bar067 - PubMed
  7. ACM Trans Comput Hum Interact. 2012 Mar 1;19(1):null - PubMed
  8. Acad Med. 2010 Mar;85(3):463-9 - PubMed
  9. Med Ref Serv Q. 2011;30(3):283-94 - PubMed
  10. J Med Internet Res. 2008 Aug 13;10(3):e24 - PubMed
  11. AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:165 - PubMed
  12. JAMA. 2008 Jan 9;299(2):211-3 - PubMed
  13. J Med Internet Res. 2014 Feb 07;16(2):e46 - PubMed

Publication Types

Grant support