Rich Context – Coleridge Initiative
The new rich context leaderboard competition launched on Github. Please compete, and advertise widely! Read more about this effort here. The goal of the Rich Context project is to create a new platform that enables empirical analysts to search for and discover datasets. The challenge that empirical researchers face is that, for a given dataset, it is difficult to find out who has worked with the d
“Survey of Benchmarks in Metadata Quality: Initial Findings” (A New White Paper From the Digital Library Federation)
“Survey of Benchmarks in Metadata Quality: Initial Findings” (A New White Paper From the Digital Library Federation) From the Digital Library Federation. Assessment Interest Group. Metadata Working Group. Benchmarks Sub-Group (via UNT Digital Library): From the Description: White paper providing general analysis and documentation of results collected by a Qualtrics survey to gather information abo
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Improving Discovery and Use of NASA’s Earth Observation Data Through Metadata Quality Assessments - Data Science Journal
Quality and completeness scores for curated and non-curated datasets
Assessing Metadata and Curation Quality: a Case Study from the Development of a Third-Party Curation Service at Springer Nature | International Journal of Digital Curation
https://www.tandfonline.com/doi/abs/10.1080/19386389.2010.506376
Rethinking Metadata Creation and Management in a Data-Driven Research World