{"title":"南非部分公立大学研究人员的研究数据管理能力","authors":"Mpilo Siphamandla Mthembu, Dennis N. Ocholla","doi":"10.1108/lm-03-2023-0022","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>In today's global and competitive corporate environment characterised by rapidly changing information, knowledge and technology (IKT), researchers must be upskilled in all aspects of research data management (RDM). This study investigates a set of capabilities and competencies required by researchers at selected South African public universities, using the community capability model framework (CCMF) in conjunction with the digital curation centre (DCC) lifecycle model.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>The post-positivist paradigm was used in the study, which used both qualitative and quantitative methodologies. Case studies, both qualitative and quantitative, were used as research methods. Because of the COVID-19 pandemic rules and regulations, semi-structured interviews with 23 study participants were conducted online via Microsoft Teams to collect qualitative data, and questionnaires were converted into Google Forms and emailed to 30 National Research Foundation (NRF)-rated researchers to collect quantitative data.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>Participating institutions are still in the initial stages of providing RDM services. Most researchers are unaware of how long their institutions retain research data, and they store and backup their research data on personal computers, emails and external storage devices. Data management, research methodology, data curation, metadata skills and technical skills are critically important RDM competency requirements for both staff and researchers. Adequate infrastructure, as well as human resources and capital, are in short supply. 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Furthermore, the research could help shape RDM strategy and policy in South Africa and elsewhere.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>The scope, subject matter and application of this study contribute to its originality and novelty.</p><!--/ Abstract__block -->","PeriodicalId":46701,"journal":{"name":"Library Management","volume":"14 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research data management competencies of researchers in selected public universities in South Africa\",\"authors\":\"Mpilo Siphamandla Mthembu, Dennis N. 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There are no specific capacity-building programmes or strategies for developing RDM skills at the moment, and a lack of data curation skills is a major challenge in providing RDM.</p><!--/ Abstract__block -->\\n<h3>Practical implications</h3>\\n<p>The findings of the study can be applied widely in research, teaching and learning. 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引用次数: 0
摘要
目的在当今全球竞争激烈的企业环境中,信息、知识和技术(IKT)瞬息万变,研究人员必须掌握研究数据管理(RDM)各方面的技能。本研究采用社区能力模型框架(CCMF),结合数字馆藏中心(DCC)生命周期模型,对选定的南非公立大学研究人员所需的一系列能力和资质进行了调查。研究方法包括定性和定量的案例研究。由于 COVID-19 大流行病的规章制度,研究人员通过 Microsoft Teams 在线对 23 名研究参与者进行了半结构化访谈,以收集定性数据;并将问卷转换成 Google 表格,通过电子邮件发送给 30 名国家研究基金会 (NRF) 评定的研究人员,以收集定量数据。大多数研究人员不知道他们所在的机构会保留研究数据多长时间,他们会在个人电脑、电子邮件和外部存储设备上存储和备份研究数据。数据管理、研究方法、数据整理、元数据技能和技术技能对工作人员和研究人员来说都是至关重要的 RDM 能力要求。充足的基础设施以及人力资源和资本都很短缺。目前还没有具体的能力建设计划或战略来培养 RDM 技能,而缺乏数据整理技能则是提供 RDM 的一大挑战。原创性/价值本研究的范围、主题和应用有助于提高其原创性和新颖性。
Research data management competencies of researchers in selected public universities in South Africa
Purpose
In today's global and competitive corporate environment characterised by rapidly changing information, knowledge and technology (IKT), researchers must be upskilled in all aspects of research data management (RDM). This study investigates a set of capabilities and competencies required by researchers at selected South African public universities, using the community capability model framework (CCMF) in conjunction with the digital curation centre (DCC) lifecycle model.
Design/methodology/approach
The post-positivist paradigm was used in the study, which used both qualitative and quantitative methodologies. Case studies, both qualitative and quantitative, were used as research methods. Because of the COVID-19 pandemic rules and regulations, semi-structured interviews with 23 study participants were conducted online via Microsoft Teams to collect qualitative data, and questionnaires were converted into Google Forms and emailed to 30 National Research Foundation (NRF)-rated researchers to collect quantitative data.
Findings
Participating institutions are still in the initial stages of providing RDM services. Most researchers are unaware of how long their institutions retain research data, and they store and backup their research data on personal computers, emails and external storage devices. Data management, research methodology, data curation, metadata skills and technical skills are critically important RDM competency requirements for both staff and researchers. Adequate infrastructure, as well as human resources and capital, are in short supply. There are no specific capacity-building programmes or strategies for developing RDM skills at the moment, and a lack of data curation skills is a major challenge in providing RDM.
Practical implications
The findings of the study can be applied widely in research, teaching and learning. Furthermore, the research could help shape RDM strategy and policy in South Africa and elsewhere.
Originality/value
The scope, subject matter and application of this study contribute to its originality and novelty.
期刊介绍:
■strategic management ■HRM/HRO ■cultural diversity ■information use ■managing change ■quality management ■leadership ■teamwork ■marketing ■outsourcing ■automation ■library finance ■charging ■performance measurement ■data protection and copyright As information services become more complex in nature and more technologically sophisticated, managers need to keep pace with innovations and thinking in the field to offer the most professional service with the resources they have.