Big and open linked data analytics ecosystem: Theoretical background and essential elements
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Datum publikování
2019
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Elsevier
Abstrakt
Big and open linked data are often mentioned together because storing, processing, and publishing large amounts of these data play an increasingly important role in today's society. However, although this topic is described from the political, economic, and social points of view, a technical dimension, which is represented by big data analytics, is insufficient. The aim of this review article was to provide a theoretical background of big and open linked data analytics ecosystem and its essential elements. First, the key terms were introduced including related dimensions. Then, the key lifecycle phases were defined and involved stakeholders were identified. Finally, a conceptual framework was proposed. In contrast to previous research, the new ecosystem is formed by interactions of stakeholders in the following dimensions and their sub-dimensions: transparency, engagement, legal, technical, social, and economic. These relationships are characterized by the most important requisites and public policy choices affecting the data analytics ecosystem together with the key phases and activities of the data analytics lifecycle. The findings should contribute to relevant initiatives, strategies, and policies and their effective implementation.
Rozsah stran
p. 129-144
ISSN
0740-624X
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Government Information Quarterly, volume 36, issue: 1
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https://www.sciencedirect.com/science/article/pii/S0740624X18302545?via%3Dihub
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open access (CC BY-NC-ND 4.0)
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Big and open linked data, Ecosystem approach, Dimensions, Data analytics lifecycle, Stakeholders, Conceptual framework, Big a open linked data, Ekosystémový přístup, Dimenze, Životní cyklus datové analytiky, Zúčastněné strany, Konceptuální rámec
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Except where otherwised noted, this item's license is described as open access (CC BY-NC-ND 4.0)