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Knowledge management,research data management,and university scholarship Towards an integrated institutional research data management support-system framework

机译:知识管理,研究数据管理和大学奖学金迈向综合性机构研究数据管理支持系统框架

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Purpose - The purpose of this paper is to synthesize existing research on research data management (RDM), academic scholarship and knowledge management and provide a conceptual framework for an institutional research data management support-system (RDMSS) for systems development,managerial and academic use. Design/methodology/approach - Viewing RDMSS from multiple theoretical perspectives,including data management, knowledge management, academic scholarship and the practice-based perspectives of knowledge and knowing, this paper conceptually explores the systems' elements needed in the development of an institutional RDM service by considering the underlying data discovery and application issues, as well as the nature of academic scholarship and knowledge creation, discovery,application and sharing motivations in a university environment. Findings - The paper provides general criteria for an institutional RDMSS framework. It suggests that RDM in universities is at the very heart of the knowledge life cycle and is a central ingredient to the academic scholarships of discovery, integration, teaching, engagement and application. Research limitations/implications - This is a conceptual exploration and as a result, the research findings may lack generalisability. Researchers are therefore encouraged to further empirically examine the proposed propositions. Originality/value - The broad RDMSS framework presented in this paper can be compared with the actual situation at universities and eventually guide recommendations for adaptations and (re)design of the institutional RDM infrastructure and knowledge discovery services environment. Moreover, this paper will help to address some of the identified underlying scholarship and RDM disciplinary divides and confusion constraining the effective functioning of the modern day university's RDM and data discovery environment.
机译:目的-本文的目的是综合研究数据管理(RDM),学术奖学金和知识管理的现有研究,并为机构研究数据管理支持系统(RDMSS)提供系统开发,管理和学术使用的概念框架。设计/方法论/方法-从数据管理,知识管理,学术奖学金以及基于实践的知识和知识角度等多个理论角度查看RDMSS,本文从概念上探讨了机构RDM服​​务开发所需的系统要素考虑潜在的数据发现和应用问题,以及大学环境中学术奖学金和知识创造,发现,应用和共享动机的性质。调查结果-本文为机构RDMSS框架提供了一般标准。它表明,大学的RDM是知识生命周期的核心,是发现,整合,教学,参与和应用的学术奖学金的重要组成部分。研究的局限性/含意-这是一个概念性的探索,因此,研究结果可能缺乏普遍性。因此,鼓励研究人员进一步实证研究提议的命题。原创性/价值-本文介绍的广泛的RDMSS框架可以与大学的实际情况进行比较,并最终为机构RDM基础设施和知识发现服务环境的适应和(重新)设计提供指导。此外,本文将有助于解决一些已确定的基础奖学金和RDM学科之间的分歧和困惑,从而制约了现代大学RDM和数据发现环境的有效运行。

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