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Designing Data Spaces

Designing Data Spaces
Author: Boris Otto
Publisher: Springer Nature
Total Pages: 577
Release: 2022-07-21
Genre: Computers
ISBN: 3030939758
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This open access book provides a comprehensive view on data ecosystems and platform economics from methodical and technological foundations up to reports from practical implementations and applications in various industries. To this end, the book is structured in four parts: Part I “Foundations and Contexts” provides a general overview about building, running, and governing data spaces and an introduction to the IDS and GAIA-X projects. Part II “Data Space Technologies” subsequently details various implementation aspects of IDS and GAIA-X, including eg data usage control, the usage of blockchain technologies, or semantic data integration and interoperability. Next, Part III describes various “Use Cases and Data Ecosystems” from various application areas such as agriculture, healthcare, industry, energy, and mobility. Part IV eventually offers an overview of several “Solutions and Applications”, eg including products and experiences from companies like Google, SAP, Huawei, T-Systems, Innopay and many more. Overall, the book provides professionals in industry with an encompassing overview of the technological and economic aspects of data spaces, based on the International Data Spaces and Gaia-X initiatives. It presents implementations and business cases and gives an outlook to future developments. In doing so, it aims at proliferating the vision of a social data market economy based on data spaces which embrace trust and data sovereignty.

Real-time Linked Dataspaces

Real-time Linked Dataspaces
Author: Edward Curry
Publisher: Springer Nature
Total Pages: 325
Release: 2019-11-18
Genre: Computers
ISBN: 3030296652
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This open access book explores the dataspace paradigm as a best-effort approach to data management within data ecosystems. It establishes the theoretical foundations and principles of real-time linked dataspaces as a data platform for intelligent systems. The book introduces a set of specialized best-effort techniques and models to enable loose administrative proximity and semantic integration for managing and processing events and streams. The book is divided into five major parts: Part I “Fundamentals and Concepts” details the motivation behind and core concepts of real-time linked dataspaces, and establishes the need to evolve data management techniques in order to meet the challenges of enabling data ecosystems for intelligent systems within smart environments. Further, it explains the fundamental concepts of dataspaces and the need for specialization in the processing of dynamic real-time data. Part II “Data Support Services” explores the design and evaluation of critical services, including catalog, entity management, query and search, data service discovery, and human-in-the-loop. In turn, Part III “Stream and Event Processing Services” addresses the design and evaluation of the specialized techniques created for real-time support services including complex event processing, event service composition, stream dissemination, stream matching, and approximate semantic matching. Part IV “Intelligent Systems and Applications” explores the use of real-time linked dataspaces within real-world smart environments. In closing, Part V “Future Directions” outlines future research challenges for dataspaces, data ecosystems, and intelligent systems. Readers will gain a detailed understanding of how the dataspace paradigm is now being used to enable data ecosystems for intelligent systems within smart environments. The book covers the fundamental theory, the creation of new techniques needed for support services, and lessons learned from real-world intelligent systems and applications focused on sustainability. Accordingly, it will benefit not only researchers and graduate students in the fields of data management, big data, and IoT, but also professionals who need to create advanced data management platforms for intelligent systems, smart environments, and data ecosystems.

Data Spaces

Data Spaces
Author: Edward Curry
Publisher: Springer Nature
Total Pages: 367
Release: 2022-09-08
Genre: Computers
ISBN: 3030986365
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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

Data Spaces
Author: Edward Curry
Publisher:
Total Pages: 0
Release: 2022
Genre: Artificial intelligence
ISBN: 9788303098634
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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.

Digital Transformation

Digital Transformation
Author: Reimund Neugebauer
Publisher: Springer
Total Pages: 396
Release: 2019-05-14
Genre: Technology & Engineering
ISBN: 3662581345
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With the exception of written letters and personal conversations, digital technology forms the basis of nearly every means of communication and information that we use today. It is also used to control the essential elements of economic, scientific, and public and private life: security, production, mobility, media, and healthcare. Without exaggerating it is possible to say that digital technology has become one of the foundations of our technologically oriented civilization. The benefits of modern data technology are so impressive and the potential for future applications so enormous that we cannot fail to promote its development if we are to retain our leading role in the competitive international marketplace. In this process, security plays a vital role in each of the areas of application of digital technology — the more technological sectors are entrusted to data systems technology, the more important their reliability becomes to us. Developing digital systems further while simultaneously ensuring that they always act and respond in the best interests of people is a central goal of the technological research and development propagated and conducted by Fraunhofer.

The Transdisciplinary Reach of Design Science Research

The Transdisciplinary Reach of Design Science Research
Author: Andreas Drechsler
Publisher: Springer Nature
Total Pages: 511
Release: 2022-05-26
Genre: Computers
ISBN: 3031065166
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This book constitutes the thoroughly refereed proceedings of the 17th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2022, held in Tampa, FL, USA, in June 2022. The 37 revised full research papers, included in the volume were carefully reviewed and selected from 103 submissions. They are organized in the following topical sections: ​Transdisciplinary Research & DSR (theme Track); Blockchain Information Systems; Intelligent Systems and Human Interaction; Healthcare Systems and Quality of Life; Innovation and Entrepreneurship; Sustainability and Responsible Design (Environmental Issues, Human Values and ethical Design); Human Safety and Cybersecurity; Emerging DSR Methods and Processes; Designers and Collaborative DSR; and Education and DSR.

Designing Information Spaces: The Social Navigation Approach

Designing Information Spaces: The Social Navigation Approach
Author: Kristina Höök
Publisher: Springer Science & Business Media
Total Pages: 465
Release: 2012-12-06
Genre: Computers
ISBN: 1447100352
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Social navigation is an emerging field which examines how we navigate information or locate services in both real and virtual environments and how we interact with and use others to find our way in information spaces. It has led to new ways of thinking about how we design information spaces and how we address usability issues, particularly in collaborative, web-based systems. This book follows on from Munro et al, Social Navigation of Information Space, which was the first major work in this field. It provides a similar broad overview of the field, but is much more practical in focus.

Learning Spaces

Learning Spaces
Author: Diana Oblinger
Publisher:
Total Pages: 458
Release: 2006
Genre: Academic libraries
ISBN:
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El espacio, ya sea físico o virtual, puede tener un impacto significativo en el aprendizaje. Learning Spaces se centra en la forma en que las expectativas de los alumnos influyen en dichos espacios, en los principios y actividades que facilitan el aprendizaje y en el papel de la tecnología desde la perspectiva de quienes crean los entornos de aprendizaje: profesores, tecnólogos del aprendizaje, bibliotecarios y administradores. La tecnología de la información ha aportado capacidades únicas a los espacios de aprendizaje, ya sea estimulando una mayor interacción mediante el uso de herramientas de colaboración, videoconferencias con expertos internacionales o abriendo mundos virtuales para la exploración. Este libro representa una exploración continua a medida que unimos el espacio, la tecnología y la pedagogía para asegurar el éxito de los estudiantes.