Big Data, Databases and "Ownership" Rights in the Cloud

Big Data, Databases and Author: Marcelo Corrales Compagnucci
Publisher: Springer Nature
ISBN: 9811503494
Category : Law
Languages : en
Pages : 324

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Book Description
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 the user interface and related computer systems or its code. This book situates the theories of law and economics and behavioral law and economics in the context of cloud computing and takes database rights and ownership rights of data as prime examples to represent the problem of collecting, outsourcing, and sharing data and databases on a global scale. It does this by highlighting the legal constraints concerning ownership rights of data and databases and proposes finding a solution outside the boundaries and limitations of the law. By allowing cloud brokers to establish themselves in the market as entities coordinating and actively engaging in the negotiation of service-level agreements (SLAs), individual customers as well as small and medium-sized enterprises could efficiently and effortlessly choose a cloud provider that best suits their needs. This approach, which the author calls “plan-like architectures,” endeavors to create a more trustworthy cloud computing environment and to yield radical new results for the development of the cloud computing and big data markets.

The Tech Contracts Handbook

The Tech Contracts Handbook PDF Author: David W. Tollen
Publisher: American Bar Association
ISBN: 9781604429824
Category : Computer contracts
Languages : en
Pages : 0

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Book Description
The Tech Contracts Handbook is a practical and accessible reference book and training manual on IT contracts. This is a clause-by-clause "how to" guide on software licenses and technology services agreements, covering the issues at stake and offering negotiation tips and sample contract language.This handbook is written for both lawyers and businesspeople, including contract managers, procurement officers, corporate counsel, salespeople, and anyone else responsible for getting IT deals done. Perhaps most important, this book uses simple English, as any good contract should.Topics covered include: ·Software as a service (SaaS) and cloud computing agreements ·Warranties ·Indemnities ·Open source software ·Service level agreements ·Nondisclosure agreements ·Limitations of liability ·Internet and e-commerce contracts·Software escrow ·Data security ·Copyright licensing ·And much more

Smart Contracts

Smart Contracts PDF Author: Marcelo Corrales Compagnucci
Publisher: Bloomsbury Publishing
ISBN: 150993703X
Category : Law
Languages : en
Pages : 213

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Book Description
This book brings together a series of contributions by leading scholars and practitioners to examine the main features of smart contracts, as well as the response of key stakeholders in technology, business, government and the law. It explores how this new technology interfaces with the goals and content of contract law, introducing and evaluating several mechanisms to improve the 'observability' and reduce the costs of verifying contractual obligations and performance. It also outlines various 'design patterns' that ensure that end users are protected from themselves, prevent cognitive accidents, and translate expectations and values into more user-oriented agreements. Furthermore, the chapters map the new risks associated with smart contracts, particularly for consumers, and consider how they might be alleviated. The book also discusses the challenge of integrating data protection and privacy concerns into the design of these agreements and the broad range of legal knowledge and skills required. The case for using smart contracts goes beyond 'contracts' narrowly defined, and they are increasingly used to disrupt traditional models of business organisation. The book discusses so-called decentralised autonomous organisations and decentralised finance as illustrations of this trend. This book is designed for those interested in looking to deepen their understanding of this game-changing new legal technology.

New Technology, Big Data and the Law

New Technology, Big Data and the Law PDF Author: Marcelo Corrales
Publisher: Springer
ISBN: 9811050384
Category : Law
Languages : en
Pages : 341

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Book Description
This edited collection brings together a series of interdisciplinary contributions in the field of Information Technology Law. The topics addressed in this book cover a wide range of theoretical and practical legal issues that have been created by cutting-edge Internet technologies, primarily Big Data, the Internet of Things, and Cloud computing. Consideration is also given to more recent technological breakthroughs that are now used to assist, and — at times — substitute for, human work, such as automation, robots, sensors, and algorithms. The chapters presented in this edition address these issues from the perspective of different legal backgrounds. The first part of the book discusses some of the shortcomings that have prompted legislators to carry out reforms with regard to privacy, data protection, and data security. Notably, some of the complexities and salient points with regard to the new European General Data Protection Regulation (EU GDPR) and the new amendments to the Japan’s Personal Information Protection Act (PIPA) have been scrutinized. The second part looks at the vital role of Internet intermediaries (or brokers) for the proper functioning of the globalized electronic market and innovation technologies in general. The third part examines an electronic approach to evidence with an evaluation of how these technologies affect civil and criminal investigations. The authors also explore issues that have emerged in e-commerce, such as Bitcoin and its blockchain network effects. The book aims to explain, systemize and solve some of the lingering legal questions created by the disruptive technological change that characterizes the early twenty-first century.

Big Data

Big Data PDF Author: Viktor Mayer-Schönberger
Publisher: Houghton Mifflin Harcourt
ISBN: 0544002695
Category : Business & Economics
Languages : en
Pages : 257

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Book Description
A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Governing Intellectual Property Rights Within Publicly Funded Biobanks

Governing Intellectual Property Rights Within Publicly Funded Biobanks PDF Author: Rajam Neethu
Publisher: Kluwer Law International B.V.
ISBN: 9403506229
Category : Law
Languages : en
Pages : 332

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Book Description
Governing Intellectual Property Rights Within Publicly Funded Biobanks R. Neethu The boom in biobanks and health databases as research infrastructures have evoked various legal and ethical debates. Since then numerous new developments have emerged such as digitalization, big-data research and artificial intelligence which has important implications for biobank-based research and collaborations. This new paradigm offers new legal challenges for commercial involvement particularly within a publicly funded setting. In this innovative book, the author shows that securing maximum social benefit out of the knowledge emanating from the use of biobank resources lies in managing intellectual property inputs and outputs effectively in keeping with the values core to such research. Focusing on the challenges of involving intellectual property rights (IPRs) particularly in the precompetitive phase of biobank-based research, the book offers an extensive understanding of the role of different IPRs and identifies the gaps in the law and its implications for biobanks. The analysis covers important aspects in relation to biobanks such as: Digital integration and biomedical data storage; Ownership of biological samples; Commercialization and benefit sharing; Partnership models; Public sector research; Disposition of samples; Consent; Cross-border exchange; Trade secrecy; Privacy; Regulatory stewardship; Business strategies; Ethical considerations over biological resources; Patenting of inventions relating to personalized medicine; Ethical parameters within patent law; and Rights regarding genetic data and databases. The book includes observations, case studies and interviews conducted by the author. In conclusion, the author offers cogent recommendations for legal interoperability of IP rules and research practices designed to enhance the ability of biobanks to share, access and reuse data. This book is the first of its kind to explore the organizational and legislative choices for biobanks particularly while engaging in the protection of research results and technology transfer within a publicly funded setting. It will be of substantial interest to all stakeholders in biobanking, especially policymakers, biobankers and researchers working in the field of health law as well as for legal practitioners, academics and patient interest groups.

Big Data Management and Processing

Big Data Management and Processing PDF Author: Kuan-Ching Li
Publisher: CRC Press
ISBN: 1498768083
Category : Business & Economics
Languages : en
Pages : 489

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Book Description
From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." ---Sartaj Sahni, University of Florida, USA "Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects.

Privacy in a Digital, Networked World

Privacy in a Digital, Networked World PDF Author: Sherali Zeadally
Publisher: Springer
ISBN: 3319084704
Category : Computers
Languages : en
Pages : 419

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Book Description
This comprehensive textbook/reference presents a focused review of the state of the art in privacy research, encompassing a range of diverse topics. The first book of its kind designed specifically to cater to courses on privacy, this authoritative volume provides technical, legal, and ethical perspectives on privacy issues from a global selection of renowned experts. Features: examines privacy issues relating to databases, P2P networks, big data technologies, social networks, and digital information networks; describes the challenges of addressing privacy concerns in various areas; reviews topics of privacy in electronic health systems, smart grid technology, vehicular ad-hoc networks, mobile devices, location-based systems, and crowdsourcing platforms; investigates approaches for protecting privacy in cloud applications; discusses the regulation of personal information disclosure and the privacy of individuals; presents the tools and the evidence to better understand consumers’ privacy behaviors.

New Horizons for a Data-Driven Economy

New Horizons for a Data-Driven Economy PDF Author: José María Cavanillas
Publisher: Springer
ISBN: 3319215698
Category : Computers
Languages : en
Pages : 312

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Book Description
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

The Elements of Big Data Value

The Elements of Big Data Value PDF Author: Edward Curry
Publisher: Springer Nature
ISBN: 3030681769
Category : Computers
Languages : en
Pages : 412

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Book Description
This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.