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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.  相似文献   
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This study examines ethnic, national, familial, and religious identity and well‐being of 632 Roma minority and 589 majority adolescents (age: = 15.98 years, SD = 1.34) in Bulgaria, the Czech Republic, Kosovo, and Romania. Results indicated that Roma showed lower endorsement of national identity but stronger religious identity than their majority counterparts. Path models showed positive associations of familial and religious identities with well‐being, whereas Roma identity was negatively associated with well‐being, particularly for Roma in Bulgaria and Kosovo (countries with a less active policy toward improving conditions of Roma). In the latter countries, Roma ethnic identity is less relevant and weakly associated with psychological well‐being of youth.  相似文献   
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