The protection of data privacy and sovereignty has grown in importance in today’s data-driven world. Using data spaces is a viable strategy to tackle this problem. Data spaces offer virtual settings that permit safe and managed data sharing among stakeholders while upholding privacy and data ownership. The possible research goal is to examine new methods to improve the effectiveness of data spaces in preserving data privacy and sovereignty as well as the potential advantages of data spaces. The use of AI and ML to evaluate data spaces and spot potential privacy and security problems is one strategy that may be investigated. The research findings may help in the creation of more efficient and secure data space-based systems.
