Digital Innovation
Harnessing the Value of Open Data
Nonfiction, Social & Cultural Studies, Political Science, Politics, History & Theory, International
| Author: | Anne-Laure Mention | ISBN: | 9789813271654 |
| Publisher: | World Scientific Publishing Company | Publication: | June 17, 2019 |
| Imprint: | WSPC | Language: | English |
| Author: | Anne-Laure Mention |
| ISBN: | 9789813271654 |
| Publisher: | World Scientific Publishing Company |
| Publication: | June 17, 2019 |
| Imprint: | WSPC |
| Language: | English |
Digital innovation — involving the Internet, its content and ecosystems of global users — is a rapidly evolving way of creating strategic and societal value. The phenomenon of Open data is on the rise and transforming the fundamental nature of how many industries, companies and governments connect with each other and the end-users of products and services — from increased customer-centric innovations, to winning political campaigns, and managing public health concerns. Open data holds the promise of greater transparency, greater accountability and empowerment of stakeholders. Yet curating and publicly sharing data can be difficult, requires substantive investments in knowledge infrastructures and incentives to do so are not well understood. Who is driving and enabling the open data movement? What motivates organizations to release data and how are they using it to create value? What are the current challenges and how are they being mitigated? What are the decision-frames adopted for sharing data? What are the possible applications and lessons to be learnt from current practices? What is the role of organisational ingredients and culture as a catalyst for adopting and facilitating open data practices? What is the possible impact of semantic web application? By exploring the multiple dimensions of open data and the interplay of economic utility, governance, societal values of fairness and trust, this volume seeks to entice readers by providing evidence-based answers to these questions, among others. Readers are tempted to a progressively revealing and enlightening journey from the conceptualisation to cultural proliferation of the latest trends in knowledge management: open data.
Digital Innovation: Harnessing the Value of Open Data draws on practical experiences, bringing together widely distributed and latest knowledge of open data practices as case studies from researchers, academics, industry leaders, policy advisors and practitioners. In exploring the economics and technology paradigms, data governance and management practices of digital-centric private and public organizations, this volume sheds light on why there exists a need to embrace open data, what is needed to optimize the value of open data in driving digital innovation and how it is being currently conceived. The book draws a thought-provoking conclusion on open data as a purpose-driven phenomenon, with its disparate applications in a world of where global convergence on information sharing, storing and management are increasingly becoming a norm.
Contents:
- About the Editor
- About the Contributors
- Introduction
- Open Data: Cliques to Culture (Hardik Bhimani and Anne-Laure Mention)
- Stimulation of Open Data Ecosystems: Learnings from Theory and Practice (Slim Turki, Sébastien Martin and Samuel Renault)
- The Ecosystem of Open Data Stakeholders in Sweden (Serdar Temiz, Marcel Bogers and Terrence E Brown)
- Digital Transformation via Open Data in Insurance (Bernardo Nicoletti)
- Open Public Sector Information in Australia (John Gilchrist)
- From Open Data to Open Governance in Canada: Dissecting a Work in Progress (Jeffrey Roy)
- Toward Open Innovation and Data-Driven Health Policy Making (Marika Iivari, Minna Pikkarainen, Julius Francis Gomes, Jukka Ranta and Peter Ylén)
- Early Experience with Open Data from CERN's Large Hadron Collider (Achintya Rao, Sünje Dallmeier-Tiessen, Kati Lassila-Perini, Thomas McCauley and Tibor Šimko)
- Index
Readership: Graduate students, researchers and policy makers who are interested in open data and digital innovation.
Key Features:
- Explores the value of data through practical case studies
- Studies the economics, technology paradigms, data governance and management practices of digital-centric organisations
- Explains what is needed to optimise the value of open data in driving digital innovation
Digital innovation — involving the Internet, its content and ecosystems of global users — is a rapidly evolving way of creating strategic and societal value. The phenomenon of Open data is on the rise and transforming the fundamental nature of how many industries, companies and governments connect with each other and the end-users of products and services — from increased customer-centric innovations, to winning political campaigns, and managing public health concerns. Open data holds the promise of greater transparency, greater accountability and empowerment of stakeholders. Yet curating and publicly sharing data can be difficult, requires substantive investments in knowledge infrastructures and incentives to do so are not well understood. Who is driving and enabling the open data movement? What motivates organizations to release data and how are they using it to create value? What are the current challenges and how are they being mitigated? What are the decision-frames adopted for sharing data? What are the possible applications and lessons to be learnt from current practices? What is the role of organisational ingredients and culture as a catalyst for adopting and facilitating open data practices? What is the possible impact of semantic web application? By exploring the multiple dimensions of open data and the interplay of economic utility, governance, societal values of fairness and trust, this volume seeks to entice readers by providing evidence-based answers to these questions, among others. Readers are tempted to a progressively revealing and enlightening journey from the conceptualisation to cultural proliferation of the latest trends in knowledge management: open data.
Digital Innovation: Harnessing the Value of Open Data draws on practical experiences, bringing together widely distributed and latest knowledge of open data practices as case studies from researchers, academics, industry leaders, policy advisors and practitioners. In exploring the economics and technology paradigms, data governance and management practices of digital-centric private and public organizations, this volume sheds light on why there exists a need to embrace open data, what is needed to optimize the value of open data in driving digital innovation and how it is being currently conceived. The book draws a thought-provoking conclusion on open data as a purpose-driven phenomenon, with its disparate applications in a world of where global convergence on information sharing, storing and management are increasingly becoming a norm.
Contents:
- About the Editor
- About the Contributors
- Introduction
- Open Data: Cliques to Culture (Hardik Bhimani and Anne-Laure Mention)
- Stimulation of Open Data Ecosystems: Learnings from Theory and Practice (Slim Turki, Sébastien Martin and Samuel Renault)
- The Ecosystem of Open Data Stakeholders in Sweden (Serdar Temiz, Marcel Bogers and Terrence E Brown)
- Digital Transformation via Open Data in Insurance (Bernardo Nicoletti)
- Open Public Sector Information in Australia (John Gilchrist)
- From Open Data to Open Governance in Canada: Dissecting a Work in Progress (Jeffrey Roy)
- Toward Open Innovation and Data-Driven Health Policy Making (Marika Iivari, Minna Pikkarainen, Julius Francis Gomes, Jukka Ranta and Peter Ylén)
- Early Experience with Open Data from CERN's Large Hadron Collider (Achintya Rao, Sünje Dallmeier-Tiessen, Kati Lassila-Perini, Thomas McCauley and Tibor Šimko)
- Index
Readership: Graduate students, researchers and policy makers who are interested in open data and digital innovation.
Key Features:
- Explores the value of data through practical case studies
- Studies the economics, technology paradigms, data governance and management practices of digital-centric organisations
- Explains what is needed to optimise the value of open data in driving digital innovation
