We’re pleased to highlight the publication of a foundational paper from the CEDAR team in Scientific Data:
“Modeling community standards for metadata as templates makes data FAIR”
by Mark A. Musen, Martin J. O’Connor, Erik Schultes, and colleagues
? Read the paper

The Problem: Abstract Guidelines, Inconsistent Metadata

The FAIR principles (Findable, Accessible, Interoperable, and Reusable) have become central to modern research data policy—but implementing them at scale remains difficult. Many scientific domains have published metadata reporting guidelines, but these are typically in free-text form, making them difficult to apply in practice or enforce systematically.

The result? Metadata that is often inconsistent, incomplete, or lacking the semantic richness needed to enable true data reuse and discovery.

Read more