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Titlebook: Big Data, Databases and "Ownership" Rights in the Cloud; Marcelo Corrales Compagnucci Book 2020 Springer Nature Singapore Pte Ltd. 2020 bi

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期刊全称Big Data, Databases and "Ownership" Rights in the Cloud
影响因子2023Marcelo Corrales Compagnucci
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发行地址Presents a new way of thinking about data ownership rights and databases in big data and cloud computing transactions.Provides a unique and flexible contractual model with application tools allowing a
学科分类Perspectives in Law, Business and Innovation
图书封面Titlebook: Big Data, Databases and
影响因子.Two of the most important developments of this new century are the emergence of cloud computing and big data. However, the uncertainties surrounding the failure of cloud service providers to clearly assert ownership rights over data and databases during cloud computing transactions and big data services have been perceived as imposing legal risks and transaction costs. This lack of clear ownership rights is also seen as slowing down the capacity of the Internet market to thrive. Click-through agreements drafted on a take-it-or-leave-it basis govern the current state of the art, and they do not allow much room for negotiation. The novel contribution of this book proffers a new contractual model advocating the extension of the negotiation capabilities of cloud customers, thus enabling an automated and machine-readable framework, orchestrated by a cloud broker..Cloud computing and big data are constantly evolving and transforming into new paradigms where cloud brokers are predicted to play a vital role as innovation intermediaries adding extra value to the entire life cycle. This evolution will alleviate the legal uncertainties in society by means of embedding legal requirements in t
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https://doi.org/10.1007/978-3-540-48426-4s—as a new form of soft paternalism—that can help them make better decisions without coercing or neglecting their choices. I attempt to examine these issues by taking into account the recent theories within behavioral law and economics, which are steadily on the rise and increasingly relevant as a p
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Elementary Forecasting Calculations,r theory and research into effective practice. To fill this gap, this chapter attempts to demonstrate how Plan-like Architectures can be particularly applied as a methodological took in the real world of cloud computing and Big Data.
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978-981-15-0351-1Springer Nature Singapore Pte Ltd. 2020
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