Computational Archival Science (CAS):
This suggests that computational archival science is a blend of computational thinking and archival thinking.
Some of the challenges might arguably be:
- The need to better convey to funders the principles and challenges of big archives.
- The need to better educate archivists about the principles and challenges of big archives.
“Archival records and training in the Age of Big Data,” Marciano, Lemieux, Hedges, Esteva, Underwood, Kurtz, Conrad, submitted Oct. 2016
In: “Advances in Librarianship – Re-Envisioning the MLIS: Perspectives on the Future of Library and Information Science Education”
Editors: Lindsay C. Sarin, Johnna Percell, Paul T. Jaeger, & John Carlo Bertot