Edward Curry is a Principal Investigator at the Insight SFI Research Centre for Data Analytics at NUI Galway and leads a research unit on Open Distributed Systems. Edward has made substantial contributions to semantic technologies, incremental data management (dataspaces), event processing, software engineering, as well as distributed systems and data ecosystems. He is co-founder and elected Vice President of the Big Data Value Association, an industry-led European big data community. Andreas Metzger is senior academic councilor at the University of Duisburg-Essen, Germany, and head of Adaptive Systems and Big Data Applications at paluno, the Ruhr Institute for Software Technology. His background and research interests are software engineering and machine learning for self-adaptive systems. He serves as steering committee vice chair of NESSI, the European Technology Platform dedicated to Software, Services and Data, and as deputy secretary general of the Big Data Value Association.  Sonja Zillner works at Siemens AG, Technology as principal research scientist focusing on the definition, acquisition and management of global innovation and research projects in the domain of semantics and artificial intelligence.  Since 2020 she is Lead of the Core Company Technology Module “Trustworthy AI” at Siemens Corporate Technology. Before that, from 2016 to 2019 she was invited to consult the Siemens Advisory Board in strategic decisions regarding artificial intelligence.  Jean-Christophe Pazzaglia is Chief Support Architect Higher Education & Research at SAP France and supporting SAP’s involvement in BDVA by managing the Big Data Value ecosystem project while also leading the pilot AI4Citizen in the AI4EU project. Complementary, within SAPUniversity Alliance, he gives lectures on SAP Technologies and Design Thinking workshops. Prior to this, he was Director of the SAP Research Center Sophia Antipolis, and the principal investigator for SAP in several European and French research projects.  Ana Garcia Robles is currently Secretary General of the Big Data Value Association (BDVA). She has a strong ICT industrial background in the Telecommunications sector, with over 10 years’ experience in the design, implementation and configuration of large-scale telecom networks and services, and, in the research and techno-economical assessment of new technologies and solutions for large-scale implementation. Ana has participated in multiple research and innovation projects in the areas of Open and Big Data, IoT, Open Platforms, Digital social innovation, and many more.

• Part I: Ecosystem Elements of Big Data Value.- The European Big Data Value Ecosystem.- Stakeholder Analysis of Data Ecosystems.- A Roadmap to Drive Adoption of Data Ecosystems.- Achievements and Impact of the Big Data Value Public-Private Partnership: The Story so Far.- Part II: Research and Innovation Elements of Big Data Value.- Technical Research Priorities for Big Data.- A Reference Model for Big Data Technologies.- Data Protection in the Era of Artificial Intelligence: Trends, Existing Solutions and Recommendations for Privacy-Preserving Technologies.- A Best Practice Framework for Centres of Excellence in Big Data and Artificial Intelligence.- Data Innovation Spaces.- Part III: Business, Policy, and Societal Elements of Big Data Value.- Big Data Value Creation by Example.- Business Models and Ecosystem for Big Data.- Innovation in Times of Big Data and AI: Introducing the Data-Driven Innovation (DDI) Framework.- The Road to Big Data Standardisation.- The Role of Data Regulation in Shaping AI: An Overview of Challenges and Recommendations for SMEs.- Part IV: Emerging Elements of Big Data Value.- Data Economy 2.0: From Big Data Value to AI Value and a European Data Space.

Edward Curry is a Principal Investigator at the Insight SFI Research Centre for Data Analytics at NUI Galway and leads a research unit on Open Distributed Systems. Edward has made substantial contributions to semantic technologies, incremental data management (dataspaces), event processing, software engineering, as well as distributed systems and data ecosystems. He is co-founder and elected Vice President of the Big Data Value Association, an industry-led European big data community. Andreas Metzger is senior academic councilor at the University of Duisburg-Essen, Germany, and head of Adaptive Systems and Big Data Applications at paluno, the Ruhr Institute for Software Technology. His background and research interests are software engineering and machine learning for self-adaptive systems. He serves as steering committee vice chair of NESSI, the European Technology Platform dedicated to Software, Services and Data, and as deputy secretary general of the Big Data Value Association.  Sonja Zillner works at Siemens AG, Technology as principal research scientist focusing on the definition, acquisition and management of global innovation and research projects in the domain of semantics and artificial intelligence.  Since 2020 she is Lead of the Core Company Technology Module “Trustworthy AI” at Siemens Corporate Technology. Before that, from 2016 to 2019 she was invited to consult the Siemens Advisory Board in strategic decisions regarding artificial intelligence.  Jean-Christophe Pazzaglia is Chief Support Architect Higher Education & Research at SAP France and supporting SAP’s involvement in BDVA by managing the Big Data Value ecosystem project while also leading the pilot AI4Citizen in the AI4EU project. Complementary, within SAPUniversity Alliance, he gives lectures on SAP Technologies and Design Thinking workshops. Prior to this, he was Director of the SAP Research Center Sophia Antipolis, and the principal investigator for SAP in several European and French research projects.  Ana Garcia Robles is currently Secretary General of the Big Data Value Association (BDVA). She has a strong ICT industrial background in the Telecommunications sector, with over 10 years’ experience in the design, implementation and configuration of large-scale telecom networks and services, and, in the research and techno-economical assessment of new technologies and solutions for large-scale implementation. Ana has participated in multiple research and innovation projects in the areas of Open and Big Data, IoT, Open Platforms, Digital social innovation, and many more.

• Part I: Ecosystem Elements of Big Data Value.- The European Big Data Value Ecosystem.- Stakeholder Analysis of Data Ecosystems.- A Roadmap to Drive Adoption of Data Ecosystems.- Achievements and Impact of the Big Data Value Public-Private Partnership: The Story so Far.- Part II: Research and Innovation Elements of Big Data Value.- Technical Research Priorities for Big Data.- A Reference Model for Big Data Technologies.- Data Protection in the Era of Artificial Intelligence: Trends, Existing Solutions and Recommendations for Privacy-Preserving Technologies.- A Best Practice Framework for Centres of Excellence in Big Data and Artificial Intelligence.- Data Innovation Spaces.- Part III: Business, Policy, and Societal Elements of Big Data Value.- Big Data Value Creation by Example.- Business Models and Ecosystem for Big Data.- Innovation in Times of Big Data and AI: Introducing the Data-Driven Innovation (DDI) Framework.- The Road to Big Data Standardisation.- The Role of Data Regulation in Shaping AI: An Overview of Challenges and Recommendations for SMEs.- Part IV: Emerging Elements of Big Data Value.- Data Economy 2.0: From Big Data Value to AI Value and a European Data Space.

Edward Curry is a Principal Investigator at the Insight SFI Research Centre for Data Analytics at NUI Galway and leads a research unit on Open Distributed Systems. Edward has made substantial contributions to semantic technologies, incremental data management (dataspaces), event processing, software engineering, as well as distributed systems and data ecosystems. He is co-founder and elected Vice President of the Big Data Value Association, an industry-led European big data community. Andreas Metzger is senior academic councilor at the University of Duisburg-Essen, Germany, and head of Adaptive Systems and Big Data Applications at paluno, the Ruhr Institute for Software Technology. His background and research interests are software engineering and machine learning for self-adaptive systems. He serves as steering committee vice chair of NESSI, the European Technology Platform dedicated to Software, Services and Data, and as deputy secretary general of the Big Data Value Association.  Sonja Zillner works at Siemens AG, Technology as principal research scientist focusing on the definition, acquisition and management of global innovation and research projects in the domain of semantics and artificial intelligence.  Since 2020 she is Lead of the Core Company Technology Module “Trustworthy AI” at Siemens Corporate Technology. Before that, from 2016 to 2019 she was invited to consult the Siemens Advisory Board in strategic decisions regarding artificial intelligence.  Jean-Christophe Pazzaglia is Chief Support Architect Higher Education & Research at SAP France and supporting SAP’s involvement in BDVA by managing the Big Data Value ecosystem project while also leading the pilot AI4Citizen in the AI4EU project. Complementary, within SAPUniversity Alliance, he gives lectures on SAP Technologies and Design Thinking workshops. Prior to this, he was Director of the SAP Research Center Sophia Antipolis, and the principal investigator for SAP in several European and French research projects.  Ana Garcia Robles is currently Secretary General of the Big Data Value Association (BDVA). She has a strong ICT industrial background in the Telecommunications sector, with over 10 years’ experience in the design, implementation and configuration of large-scale telecom networks and services, and, in the research and techno-economical assessment of new technologies and solutions for large-scale implementation. Ana has participated in multiple research and innovation projects in the areas of Open and Big Data, IoT, Open Platforms, Digital social innovation, and many more.

• Part I: Ecosystem Elements of Big Data Value.- The European Big Data Value Ecosystem.- Stakeholder Analysis of Data Ecosystems.- A Roadmap to Drive Adoption of Data Ecosystems.- Achievements and Impact of the Big Data Value Public-Private Partnership: The Story so Far.- Part II: Research and Innovation Elements of Big Data Value.- Technical Research Priorities for Big Data.- A Reference Model for Big Data Technologies.- Data Protection in the Era of Artificial Intelligence: Trends, Existing Solutions and Recommendations for Privacy-Preserving Technologies.- A Best Practice Framework for Centres of Excellence in Big Data and Artificial Intelligence.- Data Innovation Spaces.- Part III: Business, Policy, and Societal Elements of Big Data Value.- Big Data Value Creation by Example.- Business Models and Ecosystem for Big Data.- Innovation in Times of Big Data and AI: Introducing the Data-Driven Innovation (DDI) Framework.- The Road to Big Data Standardisation.- The Role of Data Regulation in Shaping AI: An Overview of Challenges and Recommendations for SMEs.- Part IV: Emerging Elements of Big Data Value.- Data Economy 2.0: From Big Data Value to AI Value and a European Data Space.