GLAM CSV Explorer
Cultural institutions are making collection data available as machine readable downloads. But how can researchers explore the shape and meaning of this data? How do they know what types of questions they can ask? This notebook provides a quick overview of CSV-formatted data files, particularly those created by GLAM institutions (galleries, libraries, archives, and museums).
You can select one of more than 600 GLAM datasets shared on government data portals or upload your own.
- Run live on Binder in Voilá (no authentication required)
- Run live on Binder in Jupyter Lab (no authentication required)
- Download from GitHub
- View using NBViewer
Sherratt, Tim. (2019, November 17). GLAM-Workbench/csv-explorer (Version v0.1.0). Zenodo. http://doi.org/10.5281/zenodo.3544712