Bibliometric mapping for current and potential collaboration detection

This project characterized current research and collaboration patterns in pain research at one institution after researchers working on a grant application approached the library to better understand current institutional research and publishing about that topic. To address this question, library st...

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Main Authors: Jordan Wrigley, Virginia Carden, Megan von Isenburg
Format: Article
Language:English
Published: University Library System, University of Pittsburgh 2019-10-01
Series:Journal of the Medical Library Association
Subjects:
Online Access:http://jmla.pitt.edu/ojs/jmla/article/view/764
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spelling doaj-9e4a65d4a3e44f47b41c89ecddf643762020-11-25T02:57:44ZengUniversity Library System, University of PittsburghJournal of the Medical Library Association1536-50501558-94392019-10-01107410.5195/jmla.2019.764412Bibliometric mapping for current and potential collaboration detectionJordan Wrigley0Virginia Carden1Megan von Isenburg2Master’s of Science in Library Science Graduate Student, University of North Carolina–Chapel Hill, and Intern, Library & Archives, Duke University Medical Center, 10 Searle Drive, DUMC 3702, Durham, NC 27710Research Impact and EndNote Consultant, Library & Archives, Duke University Medical Center, 10 Searle Drive, DUMC 3702, Durham, NC 27710Associate Dean for Library Services & Archives, Library & Archives, Duke University Medical Center, 10 Searle Drive, DUMC 3702, Durham, NC 27710This project characterized current research and collaboration patterns in pain research at one institution after researchers working on a grant application approached the library to better understand current institutional research and publishing about that topic. To address this question, library staff developed a collaborative, multi-tool process for bibliometric analysis and network visualization. The primary data source used was a preexisting, curated EndNote library of institutional publications. This EndNote library was searched using keywords relevant to the topic in order to create two sublibraries: one on pain and one specifically on musculoskeletal pain. Article data from each library were exported into InCites to create a benchmarking analysis. In addition, article data were imported into VOSviewer to visualize collaboration networks by author and create concept maps. Researchers were consulted to identify and label resulting clusters in the VOSviewer visualizations. This project successfully generated useful visualizations via bibliometric mapping that characterized current and potential pain research at the institution. The analysis was included in a grant proposal for funding a center for pain research and for catalyzing further collaborative research. Virtual Projects are published on an annual basis in the Journal of the Medical Library Association (JMLA) following an annual call for virtual projects in MLAConnect and announcements to encourage submissions from all types of libraries. An advisory committee of recognized technology experts selects project entries based on their currency, innovation, and contribution to health sciences librarianship.http://jmla.pitt.edu/ojs/jmla/article/view/764bibliometricsbibliometric mappingvosviewercollaborationdata visualizationjmla virtual projects
collection DOAJ
language English
format Article
sources DOAJ
author Jordan Wrigley
Virginia Carden
Megan von Isenburg
spellingShingle Jordan Wrigley
Virginia Carden
Megan von Isenburg
Bibliometric mapping for current and potential collaboration detection
Journal of the Medical Library Association
bibliometrics
bibliometric mapping
vosviewer
collaboration
data visualization
jmla virtual projects
author_facet Jordan Wrigley
Virginia Carden
Megan von Isenburg
author_sort Jordan Wrigley
title Bibliometric mapping for current and potential collaboration detection
title_short Bibliometric mapping for current and potential collaboration detection
title_full Bibliometric mapping for current and potential collaboration detection
title_fullStr Bibliometric mapping for current and potential collaboration detection
title_full_unstemmed Bibliometric mapping for current and potential collaboration detection
title_sort bibliometric mapping for current and potential collaboration detection
publisher University Library System, University of Pittsburgh
series Journal of the Medical Library Association
issn 1536-5050
1558-9439
publishDate 2019-10-01
description This project characterized current research and collaboration patterns in pain research at one institution after researchers working on a grant application approached the library to better understand current institutional research and publishing about that topic. To address this question, library staff developed a collaborative, multi-tool process for bibliometric analysis and network visualization. The primary data source used was a preexisting, curated EndNote library of institutional publications. This EndNote library was searched using keywords relevant to the topic in order to create two sublibraries: one on pain and one specifically on musculoskeletal pain. Article data from each library were exported into InCites to create a benchmarking analysis. In addition, article data were imported into VOSviewer to visualize collaboration networks by author and create concept maps. Researchers were consulted to identify and label resulting clusters in the VOSviewer visualizations. This project successfully generated useful visualizations via bibliometric mapping that characterized current and potential pain research at the institution. The analysis was included in a grant proposal for funding a center for pain research and for catalyzing further collaborative research. Virtual Projects are published on an annual basis in the Journal of the Medical Library Association (JMLA) following an annual call for virtual projects in MLAConnect and announcements to encourage submissions from all types of libraries. An advisory committee of recognized technology experts selects project entries based on their currency, innovation, and contribution to health sciences librarianship.
topic bibliometrics
bibliometric mapping
vosviewer
collaboration
data visualization
jmla virtual projects
url http://jmla.pitt.edu/ojs/jmla/article/view/764
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