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Investigations into Data Ecosystems: a systematic mapping study

机译:调查数据生态系统:系统映射研究

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摘要

Data Ecosystems are socio-technical complex networks in which actors interact and collaborate with each other to find, archive, publish, consume, or reuse data as well as to foster innovation, create value, and support new businesses. While the Data Ecosystem field is thus arguably gaining in importance, research on this subject is still in its early stages of development. Up until now, not many academic papers related to Data Ecosystems have been published. Furthermore, to the best of our knowledge, there has been no systematic review of the literature on Data Ecosystems. In this study, we provide an overview of the current literature on Data Ecosystems by conducting a systematic mapping study. This study is intended to function as a snapshot of the research in the field and by doing so identifies the different definitions of Data Ecosystem and analyzes the evolution of Data Ecosystem research. The studies selected have been classified into categories related to the study method, contribution, research topic, and ecosystem domains. Finally, we analyze how Data Ecosystems are structured and organized, and what benefits can be expected from Data Ecosystems and what their limitations are.
机译:数据生态系统是社会技术复杂网络,其中演员互相互动并协作,以查找,存档,发布,消耗或重用数据以及促进创新,创建价值和支持新业务。虽然数据生态系统领域具有重要性,但对该主题的研究仍处于其早期发展的阶段。到目前为止,没有许多与数据生态系统相关的学术论文已发布。此外,据我们所知,对数据生态系统的文献没有系统审查。在本研究中,我们通过进行系统映射研究,提供数据生态系统上的当前文献概述。本研究旨在作为现场研究的快照,并通过这样做确定数据生态系统的不同定义,并分析了数据生态系统研究的演变。选择的研究已被分类为与研究方法,贡献,研究主题和生态系统领域有关的类别。最后,我们分析了数据生态系统是如何结构和组织的,以及数据生态系统可以预期哪些好处以及它们的局限性。

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