Data Spaces

This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical

Data Spaces

This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical

The future of Cybersecurity in Italy: Strategic focus area

This volume has been created as a continuation of the previous one, with the aim of outlining a set of focus areas and actions that the Italian Nation research community considers essential. The book touches many aspects of cyber security, ranging from the definition of the infrastructure and controls needed to organize cyberdefence to the actions and technologies to be developed to be better protected, from the identification of the main technologies to be defended to the proposal of a set of horizontal actions for training, awareness raising, and risk management

Technologies and Applications for Big Data Value

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part “Technologies and Methods” contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part “Processes and Applications” details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems

Energy Efficiency in China: Regulation, Deliberation and CapacityBuilding in State-Owned Enterprises

This thesis looks at the regulation of energy efficiency in giant Chinese state-owned enterprises (SOEs) operating in refining and petrochemicals. It asks what factors firms respond to and why, as they seek to become more energy efficient. Using the framework of regulatory theory, the thesis identifies factors that affect energy efficiency regulation in these SOEs in four cities: Xi'an, Shanghai, Luoyang and Ningbo. The thesis seeks to understand how three broad groups: regulators, regulatees, and third parties collectively interpret, apply and respond to regulatory influences intended to promote energy efficiency among Chinese SOEs in the energy sector. Regulation of energy efficiency in Chinese SOEs occurs in an elite policy space where enforcement and compliance have a different complexion from those domains of regulation where consumers or the public are directly involved, such as environmental protection or food safety. This study looks at the dynamics of regulation from the ground-up, using an object-specific and sector-specific approach. Data for this study was collected between 2013 to 2015 and updated through to 2019, through document collation, direct observation of refineries and petrochemical plants and interviews with nearly 55 respondents from government and industry. This thesis finds that, while laws and legal enforcement remain an important part of the regulatory landscape for energy efficiency regulation in China, they are not the forum where regulation occurs for the energy sector's SOEs. Instead, informal factors aimed at increasing willingness to comply and capacity to comply are currently used to drive enterprises along a maturity curve, with the intent of making individual enterprises more self-actuated to drive energy efficiency

Assessing the impacts of digital government transformation in the EU

This report presents the results of the conceptual and empirical work conducted as part of the JRC research on “Exploring Digital Government Transformation: understanding public sector innovation in a data-driven society” conducted within the framework of the “European Location Interoperability Solutions for eGovernment (ELISE)" Action of the ISA2 Programme on Interoperability solutions for public administrations, businesses and citizens, coordinated by DIGIT. Building on the systematisation of the state of the art carried out in the previous phase of the research, the report presents an original conceptual framework for assessing the impacts of Digital Government transformation in the EU and discusses the results of case studies carried out using an experimental or quasi-experimental approach to test and validate it, carried out in different policy areas in various EU countries. The report concludes outlining the final proposal of DigiGov F 2.0, which defines the dimensions and elements of analysis for assessing the effects that can be generated by digital innovation in the public sector and the impacts they have at social, economic and political levels in different policy-cycle phases and governance contexts.JRC.B.6-Digital Econom

CORPORATE SOCIAL RESPONSIBILITY IN ROMANIA

The purpose of this paper is to identify the main opportunities and limitations of corporate social responsibility (CSR). The survey was defined with the aim to involve the highest possible number of relevant CSR topics and give the issue a more wholesome perspective. It provides a basis for further comprehension and deeper analyses of specific CSR areas. The conditions determining the success of CSR in Romania have been defined in the paper on the basis of the previously cumulative knowledge as well as the results of various researches. This paper provides knowledge which may be useful in the programs promoting CSR.Corporate social responsibility, Supportive policies, Romania