Research Data Management needs assessment of Clemson University

Q2 Social Sciences
M. Sheffield, Karen B Burton
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引用次数: 0

Abstract

Research data management (RDM) encompasses a wide range of activities that include documenting and managing data during a research project, as well as sharing and preserving data after the research project is completed.  Academic libraries can offer a variety of services that support researchers during the research life cycle which vary among institutions.   The faculty, staff, and graduate students of Clemson University were surveyed by Clemson Libraries about their research data management (RDM) needs in the spring of 2021.  The survey was based on previous surveys from 2012 and 2016 to allow for comparison, but language was updated and additional questions added because the field of RDM has evolved.  Survey findings indicated researchers are overall more likely to back up and share their data, but the process of cleaning and preparing the data for sharing was an obstacle.  Few researchers reported including metadata when sharing, or consulting the library for help writing a Data Management Plan (DMP).  Researchers want RDM resources, and offering and effectively marketing those resources will enable libraries to both support researchers and encourage best practices. Understanding researcher needs and offering time-saving services and convenient training options makes following RDM best practices easier for researchers.  Communicating how RDM benefits researchers and integrating RDS into the research life cycle through partnerships is crucial for ensuring effective data management.
克莱姆森大学研究数据管理需求评估
研究数据管理(RDM)包括一系列活动,包括在研究项目期间记录和管理数据,以及在研究项目完成后共享和保存数据。学术图书馆可以提供各种服务,在研究生命周期内为研究人员提供支持,这些服务因机构而异。克莱姆森图书馆于2021年春季对克莱姆森大学的教职员工和研究生的研究数据管理(RDM)需求进行了调查。该调查基于2012年和2016年的先前调查,以便进行比较,但由于RDM领域的发展,语言进行了更新,并增加了额外的问题。调查结果表明,研究人员总体上更有可能备份和共享他们的数据,但清理和准备共享数据的过程是一个障碍。很少有研究人员报告在共享时包含元数据,或者咨询图书馆以帮助编写数据管理计划(DMP)。研究人员需要RDM资源,提供并有效营销这些资源将使图书馆能够支持研究人员并鼓励最佳实践。了解研究人员的需求,提供省时的服务和方便的培训选项,使研究人员更容易遵循RDM最佳实践。沟通RDM如何使研究人员受益,并通过合作伙伴关系将RDS融入研究生命周期,对于确保有效的数据管理至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
18 weeks
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