Researchers have developed a new way to represent scientific data in a format that's usable by artificial intelligence agents. The Scientific Data Skill (SciDSK) integrates various pieces of information about datasets, such as descriptions, context, and usage procedures, into a single package that can be reused across different applications. This approach aims to address the limitations of current dataset representations, which are often designed for human use rather than machine use. A SciDSK is created by grounding it in authoritative dataset records and associated materials, and it's made available through the Scientific Data Skill Bank, a unified platform that publishes resources across multiple scientific disciplines. --- Why it matters: This work matters to AI researchers because it provides a more efficient way for agents to discover and interpret scientific data. The SciDSK representation can improve the accuracy and precision of dataset interpretation, which is crucial in many applications such as scientific research, decision-making, and data-driven insights. Source: https://arxiv.org/abs/2608.19625