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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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 |
work_keys_str_mv |
AT jordanwrigley bibliometricmappingforcurrentandpotentialcollaborationdetection AT virginiacarden bibliometricmappingforcurrentandpotentialcollaborationdetection AT meganvonisenburg bibliometricmappingforcurrentandpotentialcollaborationdetection |
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1724709459016548352 |