Data Format

Data formats are crucial for efficient data management, sharing, and analysis across diverse scientific domains and applications. Current research emphasizes standardization and interoperability, focusing on machine-readable metadata formats to improve data discoverability, accessibility, and trustworthiness, often leveraging techniques like RDF graphs and integrating with existing tools and frameworks. This work addresses challenges in data management for machine learning, particularly in improving metadata curation using large language models and structured knowledge bases, and optimizing data formats for deep learning's computational demands. Improved data formats ultimately enhance reproducibility, collaboration, and the overall efficiency of scientific research and technological development.