Call for Open Access Book Chapters - Data Platforms: Foundations, Design Space, and Deployments
A call has been launched for Open Access Book Chapters on the topics of Data Platforms: Foundations, Design Space, and Deployments.
- Edward Curry, NUI Galway
- Simon Scerri, Metaphacts
- Tuomo Tuikka, VTT
The digital transformation is creating a data ecosystem with data on every aspect of our world. The rapidly increasing volumes of diverse data from distributed sources creates significant opportunity for extracting valuable knowledge. Data ecosystems can create the conditions for a marketplace competition among participants or enable collaboration among diverse, interconnected participants that depend on each other for their mutual benefit. A data platform can provide a clear framework to support the sharing of data within a data ecosystem. Industrial data platforms can support the trusted and secure sharing and trading of commercial data assets with automated and robust controls on legal compliance and remuneration of data owners. Personal data platforms enforce legislation and allow data subjects and data owners to remain in control of their data and its subsequent use. Many fundamental technical, organisational, legal and commercial challenges exist in developing and deploying data platforms to support data ecosystems.
For example, how do we create trusted and secure platforms and privacy-aware analytics methods for secure sharing of personal data and industrial data? How can Small and Medium Sized Enterprises get access to data platforms and technology. How can we support the utility trade-offs between data analysis and privacy? What are user friendly privacy metrics for end-users? What are the standardisation challenges for data platforms, including interoperability? How do data platforms ensure secure and controlled sharing of proprietary or personal data? What are effective necessary technical, organisational, legal and commercial best practices for data sharing, brokerage, and trading?
Aim and goals
The aim of the book is to educate the reader on how techniques and platforms for data sharing and exchange with the use of data platforms. The book will address explore cutting-edge theory, technologies, methodologies, and best practices for data platforms for both industrial and personal data. The book provides the reader with a basis for understanding the scientific foundation of data platforms, the design space for data platforms, and the future research challenges.
The book is of interest to two primary audiences, first researchers in with an interest in data management and data sharing. The second audience is practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem is critical. The audience of the book includes:
- Researchers and Practitioners in the data management and data sharing infrastructures
- University Students and Professors from different disciplines including Computer Science
- ICT industry experts, engaged in data portals, data infrastructures, and data-driven innovation
- Policy makers and decision drivers at local, national or international level
The title will contribute to the analysis of the scientific perspectives of Data Platforms, thus becoming an indispensable support tool for scientists and practitioners, from either technical of business perspectives.
Topics of interest to the book include, but are not limited to, the following:
Area A: Data Platform Design Space
- Formal approaches to describe the problems and solutions space for Data Platforms
- Architectures for Data Platform (including real-time and decentralisation)
- Standardisation and Interoperability
- Data lifecycle management and data governance Data Governance
- Incentive mechanisms
- Business Models, Market places
- Sharing by Design, Ownership and Usage Control
- Privacy, Trust, and Data Protection
- Regulatory Compliance
Area B: Deployments of Data Platforms
- Business use cases – user deployment
- System use cases – industry deployments
- SME driven use cases
Area C: Future Research Directions for Data Platforms
- Forward looking roadmaps for research and innovation in the area Data Platforms
- Open research challenges
Schedule and deadlines
|28th January 2021||Chapter proposal submission deadline (abstracts only)|
|11th February 2021||Notification of proposal acceptance|
|19th March 2021||Full chapter submission|
|9th April 2021||Review comments|
|23rd April 2021||Revised chapter submission along with response to reviewer's comments|
|30th April 2021||Final acceptance notification|
|7th May 2021||Final chapter submission along with response to reviewer's comments and signed copyright agreement|
|Q2 2021||Estimated publication|
Researchers and practitioners are invited to submit on or before January 28th, 2021, a brief summary (abstract) consisting of title and 150-200 words clearly identifying the main objectives of your contribution and how it fits within the edited book.
Authors of accepted proposals will be notified in February 2021 about the status of their proposals and provided chapter formatting guidelines.
Chapter proposal must be submitted via EasyChair here.
For further information, please contact the editors on: email@example.com