The Medical Library Association Data Services Competency: a framework for data science and open science skills development

Autor:	Lisa Federer, Erin Diane Foster, Ann Glusker, Margaret Henderson, Kevin Read, Shirley Zhao
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	data science open science data services data literacy Bibliography. Library science. Information resources Medicine
Zdroj:	Journal of the Medical Library Association, Vol 108, Iss 2 (2020)
Druh dokumentu:	article
ISSN:	1536-5050 1558-9439
DOI:	10.5195/jmla.2020.909
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/5eed50db66b241ea9f0e710c95dda360 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF