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Data Altruism or Voluntary Data Sharing in the Economy

100%
Jacolik M.
Adam Mickiewicz University Law Review
|
2022
|
vol. 14
339-353
EN
Along with technological progress, one can observe socio-economic changes taking place, and the transformation of the EU economy into a digital economy is an eloquent example. The scope of this transformation includes data, which plays an important role in the economy. This may be readily inferred from the European Strategy for Data published by the European Commission, which envisages a data-driven economy. The transformation towards a data-agile economy results in certain modification in the legal space. For instance, the proposal for a data governance regulation introduces an entity referred to as a data altruism organisation. The proposed act also requires EU Member States to designate a competent authority. This paper examines the functioning of said organisations and attempts to define their status, and discusses the duties of competent authorities which may possibly supervise the activities of data altruism organisations.
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Fostering sustainable development through the European Digital Single Market

72%
Latoszek E.
Economics and Business Review
|
2021
|
vol. 7
|
issue 1
68-89
EN
The aim of the study is twofold. Firstly, it is believed to be the first study of its kind to explore the interconnectivity of the current stage of the EU's Digital Single Market (DSM)3 (European Commission, 2015c) and its development prospects within the framework of the EU and its Member States' SD approach. Secondly, it provides further evidence for the policy debate on the essential priorities of DSM deemed to be a stimulus to the future SD of the EU. It is an attempt to fill the existing gap in research conducted so far on SD and its correlation with the building process of the digital market in the EU. The task is to present by using the method of synthesis and deduction, the essence and milieu of the contemporary processes of building the DSM in the EU in the context of its potential influence for the SD of the EU and its Member States. Due to the interdisciplinary and complexity of the data analyses, mixed research methods were used to integrate quantitative and qualitative analyses and results.
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