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Updating search strategies for literature reviews with OUR2D2: an open-source computer application.
Lohr, Abby M; Van Gorden, Noah; McClelland, D Jean; Dubinsky, Ellen; Gerald, Lynn B; Wilkinson-Lee, Ada; Carvajal, Scott C.
Afiliação
  • Lohr AM; abbylohr@email.arizona.edu, Health Promotion Sciences Department, PhD Candidate, University of Arizona Mel and Enid Zuckerman College of Public Health.
  • Van Gorden N; nvangord@asu.edu, MCS Student, Arizona State University, School of Computing, Informatics, and Decision Systems Engineering.
  • McClelland DJ; jmcc@arizona.edu, Health Promotion Sciences Department, Program Director for Community Based Health Information Resources, University of Arizona, Mel and Enid Zuckerman College of Public Health.
  • Dubinsky E; edubinsky@arizona.edu, Office of Digital Innovation and Stewardship, Scholarly Communication Librarian, University of Arizona Libraries.
  • Gerald LB; lgerald@arizona.edu, Health Promotion Sciences Department, Professor, University of Arizona, Mel and Enid Zuckerman College of Public Health.
  • Wilkinson-Lee A; adaw@arizona.edu, Department of Mexican American Studies, Associate Professor, University of Arizona, College of Social and Behavioral Sciences.
  • Carvajal SC; carvajal@arizona.edu, Health Promotion Sciences Department, Professor, University of Arizona, Mel and Enid Zuckerman College of Public Health.
J Med Libr Assoc ; 109(2): 317-322, 2021 Apr 01.
Article em En | MEDLINE | ID: mdl-34285675
BACKGROUND: While writing a scoping review, we needed to update our search strategy. We wanted to capture articles generated by our additional search terms and articles published since our original search. Simultaneously, we strove to optimize project resources by not rescreening articles that had been captured in our original results. CASE PRESENTATION: In response, we created Open Update Re-run Deduplicate (OUR2D2), a computer application that allows the user to compare search results from a variety of library databases. OUR2D2 supports extensible markup language (XML) files from EndNote and comma-separated values (CSV) files using article titles for comparisons. We conducted unit tests to ensure appropriate functionality as well as accurate data extraction and analysis. We tested OUR2D2 by comparing original and updated search results from PubMed, Embase, Clarivate Web of Science, CINAHL, Scopus, ProQuest Dissertation and Theses, and Lens and estimate that this application saved twenty-one hours of work during the screening process. CONCLUSIONS: OUR2D2 could be useful for individuals seeking to update literature review strategies across fields without rescreening articles from previous searches. Because the OUR2D2 source code is freely available with a permissive license, we recommend this application for researchers conducting literature reviews who need to update their search results over time, want a powerful and flexible analysis framework, and may not have access to paid subscription tools.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Computadores Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Revista: J Med Libr Assoc Assunto da revista: BIBLIOTECONOMIA Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Computadores Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Revista: J Med Libr Assoc Assunto da revista: BIBLIOTECONOMIA Ano de publicação: 2021 Tipo de documento: Article