New Frictionless Data Case Study: Carnegie Museum of Art Collection Data


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We’re curious to learn about some of the common issues users face when working with data. In our Case Study series, we are highlighting projects and organisations who are working with the Frictionless Data specifications and tooling in interesting and innovative ways.

Our Latest Case Study documents the release of Carnegie Museum of Art Collection Data and use of Frictionless Data specifications in the process. The Case Study was written by David Newbury and Dan Fowler, and published as part of the Always Already Computational - Collections as Data Facets initiative.

Read more: https://collectionsasdata.github.io/facet2/

Explore Collection Data on GitHub: https://github.com/cmoa/collection