Learning Object Metadata Quality: A Benchmark of Repository Records Against Retrieval Success

Abstract

Learning Object Metadata Quality has moved quickly from a niche scientific question to something a wider community can now
investigate with reasonably reliable tools, but the evidence behind it has not always kept pace. We pull together the current
evidence for learning object metadata quality, covering the methodological, practical, regulatory and cost angles, with an eye on
where practice has genuinely settled and where researchers and reviewers are still largely working it out for themselves. Selective,
context-specific pursuit looks better supported by the evidence gathered here than either broad rollout or blanket avoidance.