Beyond the data management plan: Expanding roles for librarians in data science and open science

Lisa M. Federer, Jian Qin

Research output: Contribution to journalArticle

Abstract

Support for research data management (RDM) has become a popular focus for library services, and many training opportunities in RDM exist for librarians. However, fewer opportunities exist for librarians to develop the more advanced skills and expertise necessary to support data science and open science. To better understand how to develop a library workforce prepared to develop services in the emerging areas of data science and open science, the National Library of Medicine convened a workshop of 15 librarians and information professionals with a range of expertise in data and open science. This session will present the workshop's recommendations and use participatory facilitation methods to engage attendees in conversation about how to prepare information professionals to meet the evolving challenges of data science and open science.

Original languageEnglish (US)
Pages (from-to)529-531
Number of pages3
JournalProceedings of the Association for Information Science and Technology
Volume56
Issue number1
DOIs
StatePublished - Jan 1 2019

Fingerprint

Information management
librarian
science
management
Medicine
expertise
training opportunities
conversation
medicine

Keywords

  • data analytics
  • Data science
  • digital literacy
  • education in information sciences
  • library education
  • open science

ASJC Scopus subject areas

  • Computer Science(all)
  • Library and Information Sciences

Cite this

@article{b8d4766a87924dc398e474b26fd515e0,
title = "Beyond the data management plan: Expanding roles for librarians in data science and open science",
abstract = "Support for research data management (RDM) has become a popular focus for library services, and many training opportunities in RDM exist for librarians. However, fewer opportunities exist for librarians to develop the more advanced skills and expertise necessary to support data science and open science. To better understand how to develop a library workforce prepared to develop services in the emerging areas of data science and open science, the National Library of Medicine convened a workshop of 15 librarians and information professionals with a range of expertise in data and open science. This session will present the workshop's recommendations and use participatory facilitation methods to engage attendees in conversation about how to prepare information professionals to meet the evolving challenges of data science and open science.",
keywords = "data analytics, Data science, digital literacy, education in information sciences, library education, open science",
author = "Federer, {Lisa M.} and Jian Qin",
year = "2019",
month = "1",
day = "1",
doi = "10.1002/pra2.82",
language = "English (US)",
volume = "56",
pages = "529--531",
journal = "Proceedings of the Association for Information Science and Technology",
issn = "2373-9231",
publisher = "John Wiley and Sons Inc.",
number = "1",

}

TY - JOUR

T1 - Beyond the data management plan

T2 - Expanding roles for librarians in data science and open science

AU - Federer, Lisa M.

AU - Qin, Jian

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Support for research data management (RDM) has become a popular focus for library services, and many training opportunities in RDM exist for librarians. However, fewer opportunities exist for librarians to develop the more advanced skills and expertise necessary to support data science and open science. To better understand how to develop a library workforce prepared to develop services in the emerging areas of data science and open science, the National Library of Medicine convened a workshop of 15 librarians and information professionals with a range of expertise in data and open science. This session will present the workshop's recommendations and use participatory facilitation methods to engage attendees in conversation about how to prepare information professionals to meet the evolving challenges of data science and open science.

AB - Support for research data management (RDM) has become a popular focus for library services, and many training opportunities in RDM exist for librarians. However, fewer opportunities exist for librarians to develop the more advanced skills and expertise necessary to support data science and open science. To better understand how to develop a library workforce prepared to develop services in the emerging areas of data science and open science, the National Library of Medicine convened a workshop of 15 librarians and information professionals with a range of expertise in data and open science. This session will present the workshop's recommendations and use participatory facilitation methods to engage attendees in conversation about how to prepare information professionals to meet the evolving challenges of data science and open science.

KW - data analytics

KW - Data science

KW - digital literacy

KW - education in information sciences

KW - library education

KW - open science

UR - http://www.scopus.com/inward/record.url?scp=85075929639&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85075929639&partnerID=8YFLogxK

U2 - 10.1002/pra2.82

DO - 10.1002/pra2.82

M3 - Article

AN - SCOPUS:85075929639

VL - 56

SP - 529

EP - 531

JO - Proceedings of the Association for Information Science and Technology

JF - Proceedings of the Association for Information Science and Technology

SN - 2373-9231

IS - 1

ER -