Challenges in research data management practices: a literature analysis

IF 2.8 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
G. Birkbeck, Tadhg Nagle, David Sammon
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引用次数: 5

Abstract

ABSTRACT Driven by funding and publishing requirements to open and reuse data, Research Data Management (RDM) has become a crucial part of a researcher’s role. However, this key task is often completed by researchers, who sometimes make decisions, without having the necessary support or know-how, resulting in few research datasets being shared. The objective of this study is to identify the challenges in researcher RDM practices that impact the sharing/reusing of research data. Four thematic areas emerge from our coding of the selected literature: (i) alignment of research management and data management, (ii) resourcing, (iii) researcher openness, and (iv) research data governance. Despite the growing field of RDM, there is a limited understanding of RDM practiceshighlighting a requirement for further investigation together with practical tools, decision aids and training to assuage clearly unmet needs. Indeed, this provides an opportunity for the Information Systems (IS) community to better support researchers to implement good RDM practices.
研究数据管理实践中的挑战:文献分析
研究数据管理(RDM)在科研经费和出版需求的推动下,已成为科研人员工作的重要组成部分。然而,这项关键任务往往是由研究人员完成的,他们有时在没有必要的支持或专业知识的情况下做出决定,导致很少的研究数据集被共享。本研究的目的是确定研究人员RDM实践中影响研究数据共享/重用的挑战。我们对所选文献进行编码后,出现了四个主题领域:(i)研究管理和数据管理的一致性,(ii)资源配置,(iii)研究人员开放性,以及(iv)研究数据治理。尽管RDM领域不断发展,但对RDM实践的理解有限,强调需要进一步的调查,以及实用工具、决策辅助和培训,以减轻明显未满足的需求。实际上,这为信息系统(IS)社区提供了一个更好地支持研究人员实现良好RDM实践的机会。
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
Journal of Decision Systems
Journal of Decision Systems OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
6.30
自引率
23.50%
发文量
55
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