This paper advances a single claim: in the AI era, privacy risks are increasingly metadata risks—and metadata risks are professional responsibility risks.

Metadata is back in the news, following The Guardian's extraordinary revelation on Wednesday revealing that the National Security Agency has been secretly scooping up the phone records of millions of ...

Unified metadata models are emerging as a cornerstone in the changing landscape of data management, highlighting the critical need for integrated frameworks that ensure data accessibility, security ...

Metadata management has become the practical dividing line between AI systems that scale and those that stall. As organizations push AI from experimentation into sustained production, the limiting ...

Hasura, the data API and GraphQL leader, is debuting a series of enhancements designed to support the process of connecting large language models (LLMs) to highly diverse enterprise data. With new ...

Machine-readable metadata boosts understanding and useability of cloud data Vendor-neutral design supports traditional, agentic and AI centric tools AI-ready datasets include economic, fundamental, ...

Background Data-sharing mandates from funders and journals have increased in recent years, but little is known about how shared data are used. Existing research has focused on access frameworks, with ...