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The Medical Library Association Data Services Competency: a framework for data science and open science skills development
Increasingly, users of health and biomedical libraries need assistance with challenges they face in working with their own and others’ data. Librarians have a unique opportunity to provide valuable support and assistance in data science and open science but may need to add to their expertise and ski...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medical Library Association
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7069817/ https://www.ncbi.nlm.nih.gov/pubmed/32256242 http://dx.doi.org/10.5195/jmla.2020.909 |
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author | Federer, Lisa Foster, Erin Diane Glusker, Ann Henderson, Margaret Read, Kevin Zhao, Shirley |
author_facet | Federer, Lisa Foster, Erin Diane Glusker, Ann Henderson, Margaret Read, Kevin Zhao, Shirley |
author_sort | Federer, Lisa |
collection | PubMed |
description | Increasingly, users of health and biomedical libraries need assistance with challenges they face in working with their own and others’ data. Librarians have a unique opportunity to provide valuable support and assistance in data science and open science but may need to add to their expertise and skill set to have the most impact. This article describes the rationale for and development of the Medical Library Association Data Services Competency, which outlines a set of five key skills for data services and provides a course of study for gaining these skills. |
format | Online Article Text |
id | pubmed-7069817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Medical Library Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-70698172020-04-01 The Medical Library Association Data Services Competency: a framework for data science and open science skills development Federer, Lisa Foster, Erin Diane Glusker, Ann Henderson, Margaret Read, Kevin Zhao, Shirley J Med Libr Assoc Commentary Increasingly, users of health and biomedical libraries need assistance with challenges they face in working with their own and others’ data. Librarians have a unique opportunity to provide valuable support and assistance in data science and open science but may need to add to their expertise and skill set to have the most impact. This article describes the rationale for and development of the Medical Library Association Data Services Competency, which outlines a set of five key skills for data services and provides a course of study for gaining these skills. Medical Library Association 2020-04 2020-04-01 /pmc/articles/PMC7069817/ /pubmed/32256242 http://dx.doi.org/10.5195/jmla.2020.909 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 | Commentary Federer, Lisa Foster, Erin Diane Glusker, Ann Henderson, Margaret Read, Kevin Zhao, Shirley The Medical Library Association Data Services Competency: a framework for data science and open science skills development |
title | The Medical Library Association Data Services Competency: a framework for data science and open science skills development |
title_full | The Medical Library Association Data Services Competency: a framework for data science and open science skills development |
title_fullStr | The Medical Library Association Data Services Competency: a framework for data science and open science skills development |
title_full_unstemmed | The Medical Library Association Data Services Competency: a framework for data science and open science skills development |
title_short | The Medical Library Association Data Services Competency: a framework for data science and open science skills development |
title_sort | medical library association data services competency: a framework for data science and open science skills development |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7069817/ https://www.ncbi.nlm.nih.gov/pubmed/32256242 http://dx.doi.org/10.5195/jmla.2020.909 |
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