Category: Interoperability
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FAIR Data Trains
The FAIR Data Train is a data analysis approach that combines two key elements: As described in the LIFES Networking Meeting from December 2024: The FAIR Data Train approach was introduced as a domain-agnostic system designed to enhance automated interoperability while adhering to FAIR principles. Key aspects include privacy-focused “data visiting”, foundational agreements for metadata…
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Part 1: Key Takeaways from the RDA Plenary on AI/ML and Interoperability
The 23rd RDA Plenary Meeting in San José, Costa Rica, brought together a global community of researchers to address the pressing issue of sustainable science. The plenary was divided into many sessions that ran simultaneously and were organized by RDA working groups (WGs) and interest groups (IGs). The event offered valuable insights and sparked innovative…