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Research data management: practical strategies for information professionals

It has become increasingly accepted that important digital data must be retained and shared in order to preserve and promote knowledge, advance research in and across all disciplines of scholarly endeavor, and maximize the return on investment of public funds. To meet this challenge, colleges an...

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Detalles Bibliográficos
Autor principal: Ray, Joyce M
Lenguaje:eng
Publicado: Purdue Univ. Press 2014
Materias:
Acceso en línea:http://cds.cern.ch/record/1622229
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author Ray, Joyce M
author_facet Ray, Joyce M
author_sort Ray, Joyce M
collection CERN
description It has become increasingly accepted that important digital data must be retained and shared in order to preserve and promote knowledge, advance research in and across all disciplines of scholarly endeavor, and maximize the return on investment of public funds. To meet this challenge, colleges and universities are adding data services to existing infrastructures by drawing on the expertise of information professionals who are already involved in the acquisition, management and preservation of data in their daily jobs. Data services include planning and implementing good data management practices, thereby increasing researchers’ ability to compete for grant funding and ensuring that data collections with continuing value are preserved for reuse. This volume provides a framework to guide information professionals in academic libraries, presses, and data centers through the process of managing research data from the planning stages through the life of a grant project and beyond. It illustrates principles of good practice with use-case examples and illuminates promising data service models through case studies of innovative, successful projects and collaborations.
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spelling cern-16222292021-04-21T21:51:06Zhttp://cds.cern.ch/record/1622229engRay, Joyce MResearch data management: practical strategies for information professionalsInformation Transfer and ManagementIt has become increasingly accepted that important digital data must be retained and shared in order to preserve and promote knowledge, advance research in and across all disciplines of scholarly endeavor, and maximize the return on investment of public funds. To meet this challenge, colleges and universities are adding data services to existing infrastructures by drawing on the expertise of information professionals who are already involved in the acquisition, management and preservation of data in their daily jobs. Data services include planning and implementing good data management practices, thereby increasing researchers’ ability to compete for grant funding and ensuring that data collections with continuing value are preserved for reuse. This volume provides a framework to guide information professionals in academic libraries, presses, and data centers through the process of managing research data from the planning stages through the life of a grant project and beyond. It illustrates principles of good practice with use-case examples and illuminates promising data service models through case studies of innovative, successful projects and collaborations.Purdue Univ. Pressoai:cds.cern.ch:16222292014
spellingShingle Information Transfer and Management
Ray, Joyce M
Research data management: practical strategies for information professionals
title Research data management: practical strategies for information professionals
title_full Research data management: practical strategies for information professionals
title_fullStr Research data management: practical strategies for information professionals
title_full_unstemmed Research data management: practical strategies for information professionals
title_short Research data management: practical strategies for information professionals
title_sort research data management: practical strategies for information professionals
topic Information Transfer and Management
url http://cds.cern.ch/record/1622229
work_keys_str_mv AT rayjoycem researchdatamanagementpracticalstrategiesforinformationprofessionals