12/15/2023 0 Comments Rich data incubator![]() ![]() UPCAST consolidates mature research in data management, privacy, monetization, and automated negotiation to support the deployment of European data spaces while considering efficiency and compliance. These plugins enable actors in European data spaces to design and deploy data exchange and trading operations with features such as automatic agreement negotiation, fair pricing, improved data discovery, privacy protection, low environmental impact, and compliance with relevant legislation and ethical guidelines. UPCAST offers universal, transparent, and user-friendly data market plugins for automating data sharing and processing agreements between businesses, public administrations, and citizens. By establishing appropriate methods and technical foundations, PISTIS aims to unlock the untapped potential of data assets and facilitate collaboration, innovation, and value creation in the data ecosystem. The platform focuses on data management, interoperability, governance, secure data sharing, data valuation, and monetization. The PISTIS solution aims to address these challenges by providing a federated data sharing and monetization platform that builds trust among stakeholders, eliminates data silos, and creates fair and transparent data markets. Current economic practices struggle to measure the value of data accurately. Data sharing contracts and intellectual property rights also complicate the process. Data consumers struggle to find and access relevant data. Data quality, interoperability, and accessibility pose additional challenges. ![]() ![]() Organizations tend to focus on collecting and analyzing their own data rather than sharing it. However, data sharing faces challenges such as technical, cultural, economic, and legal barriers. Data sharing has become essential for AI and driving insights in the digital economy, leading to the adoption of legislative acts and the emergence of data spaces. However, despite the exponential growth of data production, its full potential is often underutilized, with around 80% of industrial data not effectively used. In the era of data-driven organizations, there has been a paradigm shift in viewing data as a valuable asset rather than just exhaust from information systems. ![]()
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