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Excel for data visualization in academic health sciences libraries: a qualitative case study

BACKGROUND: Data visualization is a growing topic of discussion and area of educational programming in health sciences libraries. This paper synthesizes information on eight institutions’ experiences in offering Excel-focused data visualization workshops with the goal of providing an overview of the...

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Autor principal: LaPolla, Fred Willie Zametkin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medical Library Association 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919992/
https://www.ncbi.nlm.nih.gov/pubmed/31897053
http://dx.doi.org/10.5195/jmla.2020.749
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author LaPolla, Fred Willie Zametkin
author_facet LaPolla, Fred Willie Zametkin
author_sort LaPolla, Fred Willie Zametkin
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description BACKGROUND: Data visualization is a growing topic of discussion and area of educational programming in health sciences libraries. This paper synthesizes information on eight institutions’ experiences in offering Excel-focused data visualization workshops with the goal of providing an overview of the current state of educational offerings in this area. METHODS: Semi-structured interviews were conducted by phone and email with librarians at institutions that offer Excel-focused workshops, which were identified by reviewing the websites of Association of Academic Health Sciences Libraries members and the 2019 Medical Library Association annual meeting program. RESULTS: Librarians from six institutions were interviewed, online class materials from one institution were reviewed, and information from the author’s institution was included, resulting in a total of eight institutions. Educational offerings in Excel-focused data visualization ranged from one workshop to five workshops in a series, which typically first presented information for beginners and then progressed to more advanced data visualization skills. Regarding motivations for offering these workshops, librarians stated that they were committed to providing instruction in software programs that were already familiar to users. Workshop evaluations, when available, were generally positive. DISCUSSION: Because of its widespread availability and usage, Excel offers a compelling opportunity for providing hands-on data visualization instruction in health sciences libraries.
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spelling pubmed-69199922020-01-03 Excel for data visualization in academic health sciences libraries: a qualitative case study LaPolla, Fred Willie Zametkin J Med Libr Assoc Original Investigation BACKGROUND: Data visualization is a growing topic of discussion and area of educational programming in health sciences libraries. This paper synthesizes information on eight institutions’ experiences in offering Excel-focused data visualization workshops with the goal of providing an overview of the current state of educational offerings in this area. METHODS: Semi-structured interviews were conducted by phone and email with librarians at institutions that offer Excel-focused workshops, which were identified by reviewing the websites of Association of Academic Health Sciences Libraries members and the 2019 Medical Library Association annual meeting program. RESULTS: Librarians from six institutions were interviewed, online class materials from one institution were reviewed, and information from the author’s institution was included, resulting in a total of eight institutions. Educational offerings in Excel-focused data visualization ranged from one workshop to five workshops in a series, which typically first presented information for beginners and then progressed to more advanced data visualization skills. Regarding motivations for offering these workshops, librarians stated that they were committed to providing instruction in software programs that were already familiar to users. Workshop evaluations, when available, were generally positive. DISCUSSION: Because of its widespread availability and usage, Excel offers a compelling opportunity for providing hands-on data visualization instruction in health sciences libraries. Medical Library Association 2020-01 2020-01-01 /pmc/articles/PMC6919992/ /pubmed/31897053 http://dx.doi.org/10.5195/jmla.2020.749 Text en Copyright: © 2020, Authors. Articles in this journal are licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Investigation
LaPolla, Fred Willie Zametkin
Excel for data visualization in academic health sciences libraries: a qualitative case study
title Excel for data visualization in academic health sciences libraries: a qualitative case study
title_full Excel for data visualization in academic health sciences libraries: a qualitative case study
title_fullStr Excel for data visualization in academic health sciences libraries: a qualitative case study
title_full_unstemmed Excel for data visualization in academic health sciences libraries: a qualitative case study
title_short Excel for data visualization in academic health sciences libraries: a qualitative case study
title_sort excel for data visualization in academic health sciences libraries: a qualitative case study
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919992/
https://www.ncbi.nlm.nih.gov/pubmed/31897053
http://dx.doi.org/10.5195/jmla.2020.749
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