Abstract
This book is is open access which means you have free and unlimited access Educates data space designers to understand what is required to create a successful data space Explores the cutting-edge theory, technologies, methodologies, and best practices for data spaces Captures lessons and experiences in creating data spaces based on real-world projects in various industry sectors
Cite
CITATION STYLE
APA
Data Spaces. (2022). Data Spaces. Springer International Publishing. https://doi.org/10.1007/978-3-030-98636-0
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