Assessing the translational capacity of five CTSA institutions

Charisse Madlock-Brown, David Eichmann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents collaboration trends for five Clinical and Translational Science Awardee (CTSA) institution to demonstrate the need for new evaluation metrics. Translational science, a methodology that bridges gaps between fundamental and applied science, has gained attention from both the medical research community and government funding agencies. To facilitate interdisciplinary research it is important to understand what aspects of the process act as a bottleneck and limit its effectiveness. Cultural norms within the scientific community make communication between disciplines difficult [1]. CTSAs are meant to help ease burdens and foster an environment where clinicians and basic scientists work together [2]. In 2013, NCATS director, Dr. Chris Austin, said the CTSAs operated "without particular encouragement or direction from the NIH, and this in a disjointed and uncoordinated fashion" [3]. Our intention is to highlight areas of concern and to demonstrate the need and potential for bibliometric translational indicators to help alleviate some of the difficulties with CTSA evaluation by determining the importance of basic scientists in research networks, discussing patterns of co-authorship by institution, and presenting two translational indicators, which can help institutions and funding agencies compare CTSA collaborative patterns.

Original languageEnglish (US)
Title of host publicationProceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015
PublisherAssociation for Computing Machinery, Inc
Pages768-769
Number of pages2
ISBN (Electronic)9781450338547
DOIs
StatePublished - Aug 25 2015
EventIEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015 - Paris, France
Duration: Aug 25 2015Aug 28 2015

Other

OtherIEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015
CountryFrance
CityParis
Period8/25/158/28/15

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Communication

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications

Cite this

Madlock-Brown, C., & Eichmann, D. (2015). Assessing the translational capacity of five CTSA institutions. In Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015 (pp. 768-769). Association for Computing Machinery, Inc. https://doi.org/10.1145/2808797.2808838

Assessing the translational capacity of five CTSA institutions. / Madlock-Brown, Charisse; Eichmann, David.

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015. Association for Computing Machinery, Inc, 2015. p. 768-769.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Madlock-Brown, C & Eichmann, D 2015, Assessing the translational capacity of five CTSA institutions. in Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015. Association for Computing Machinery, Inc, pp. 768-769, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, Paris, France, 8/25/15. https://doi.org/10.1145/2808797.2808838
Madlock-Brown C, Eichmann D. Assessing the translational capacity of five CTSA institutions. In Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015. Association for Computing Machinery, Inc. 2015. p. 768-769 https://doi.org/10.1145/2808797.2808838
Madlock-Brown, Charisse ; Eichmann, David. / Assessing the translational capacity of five CTSA institutions. Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015. Association for Computing Machinery, Inc, 2015. pp. 768-769
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