Tag Archive for: machine-actionable metadata

CEDAR Powers Machine-Actionable Metadata in M4M Workshops

/in /by

CEDAR is now a core tool in the GO FAIR Foundation’s Metadata for Machines (M4M) workshops—practical, community-driven events designed to accelerate the creation of FAIR, machine-actionable metadata.

What Is M4M?

The M4M workshop series brings together domain experts and metadata specialists to rapidly co-develop reusable, standards-aligned metadata templates for their communities (https://www.gofairfoundation.org/m4m/). The ultimate goal: produce machine-readable metadata that enables automated discovery, integration, and reuse of research data.

Read more

New Paper in Scientific Data: Modeling Community Standards as Metadata Templates

/in /by

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