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Updates and results from our work


CUR: Intelligent Data Curation Through Natural Language
In modern dataspaces, data from disparate sources often remains siloed, requiring manual curation, format conversion, and complex programming to extract meaningful insights. Organizations need a practical way to query federated data sources without understanding database schemas, SQL syntax, or data format differences. This is where the DS2 CUR module comes in. What is CUR? CUR (Data Curation) is a DS2 module that enables automatic curation and federation of data through mach
4 min read


Data Spaces in the AI Era: Navigating GDPR and the AI Act
In today's rapidly evolving technological landscape, organizations face an unprecedented challenge: How to harness the transformative power of artificial intelligence while maintaining strict compliance with European data protection regulations? As AI systems become increasingly sophisticated and data-hungry, the tension between innovation and regulation has never been more pronounced. Enter Data Spaces: a groundbreaking solution that bridges the gap between AI advancement an
6 min read


RET: Intelligent Data Retrieval for Dataspaces
In modern dataspaces, accessing and using data from providers should be straightforward, but technical barriers often prevent non-technical users from taking full advantage of available data. Data consumers face challenges in composing complex REST calls with specific parameter formatting requirements, and retrieved data may not match their expected schema or format. This is where the DS2 RET (Data Retrieval) module comes in. What is RET? RET is an intelligent data retrieval
3 min read
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