2018Northumbria Research Link (Northumbria University)Requires access

Research data management and data sharing behaviour of university researchers

Gobinda Chowdhury, Yurdagül Ünal, Serap Kurbanoğlu, Joumana Boustany, Geoff Walton

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Abstract

Introduction. The aim of this study is to understand how university researchers behave in the context of using and sharing research data in OA mode. \n \nMethod. An online questionnaire survey was conducted amongst academics and researchers in three countries – UK, France and Turkey. There were 26 questions to collect data on: researcher information, e.g. discipline, gender and experience; data sharing practices, concerns; familiarity with data management practices; and policies/challenges including knowledge of metadata and training. \n \nAnalysis. SPSS was used to analyse the dataset, and Chi-Square tests, at 0.05 significance level, were conducted to find out association between researchers’ behaviour in data sharing and different areas of research data management (RDM). \n \nResults. Findings show that OA is still not common amongst researchers. Data ethics and legal issues appear to be the most significant concerns for researchers. Most researchers have not received any training in RDM such as data management planning metadata, or file naming. However, most researchers would welcome formal training in different aspects of RDM. \n \nConclusions. This study indicates directions for further research to understand the disciplinary differences in researchers’ data access and management behaviour so that appropriate training and advocacy programmes can be developed to promote OA to research data.

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What this paper is about

Introduction. The aim of this study is to understand how university researchers behave in the context of using and sharing research data in OA mode. \n \nMethod. An online questionnaire survey was conducted amongst academics and researchers in three countries – UK, France and Turkey. There were 26 questions to collect data on: researcher information, e.g. discipline, gender and experience; data sharing practices, concerns; familiarity with data management practices; and policies/challenges including knowledge of metadata and training. \n \nAnalysis. SPSS was used to analyse the dataset, and Chi-Square tests, at 0.05 significance level, were conducted to find out association between researchers’ behaviour in data sharing and different areas of research data management (RDM). \n \nResults. Findings show that OA is still not common amongst researchers. Data ethics and legal issues appear to be the most significant concerns for researchers. Most researchers have not received any training in RDM such as data management planning metadata, or file naming. However, most researchers would welcome formal training in different aspects of RDM. \n \nConclusions. This study indicates directions for further research to understand the disciplinary differences in researchers’ data access and management behaviour so that appropriate training and advocacy programmes can be developed to promote OA to research data.

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Available abstract

Introduction. The aim of this study is to understand how university researchers behave in the context of using and sharing research data in OA mode. \n \nMethod. An online questionnaire survey was conducted amongst academics and researchers in three countries – UK, France and Turkey. There were 26 questions to collect data on: researcher information, e.g. discipline, gender and experience; data sharing practices, concerns; familiarity with data management practices; and policies/challenges including knowledge of metadata and training. \n \nAnalysis. SPSS was used to analyse the dataset, and Chi-Square tests, at 0.05 significance level, were conducted to find out association between researchers’ behaviour in data sharing and different areas of research data management (RDM). \n \nResults. Findings show that OA is still not common amongst researchers. Data ethics and legal issues appear to be the most significant concerns for researchers. Most researchers have not received any training in RDM such as data management planning metadata, or file naming. However, most researchers would welcome formal training in different aspects of RDM. \n \nConclusions. This study indicates directions for further research to understand the disciplinary differences in researchers’ data access and management behaviour so that appropriate training and advocacy programmes can be developed to promote OA to research data.

Key concepts: RDM, Data sharing, Metadata, Data management plan, Data management, Context (archaeology), Knowledge management, Research data

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