@inbook{7fcc6ca4bf054b26b69c295e7dde17f0,
title = "Archival Records and Training in the Age of Big Data",
abstract = "For decades, archivists have been appraising, preserving, and providing access to digital records by using archival theories and methods developed for paper records. However, production and consumption of digital records are informed by social and industrial trends and by computer and data methods that show little or no connection to archival methods. The purpose of this chapter is to reexamine the theories and methods that dominate records practices. The authors believe that this situation calls for a formal articulation of a new transdiscipline, which they call computational archival science (CAS).",
keywords = "Computational archival science, CAS, archival thinking, computational thinking",
author = "Richard Marciano and Victoria Lemieux and Hedges, {Mark Charles} and Maria Esteva and William Underwood and Michael Kurtz and Mark Conrad",
year = "2018",
doi = "10.1108/S0065-28302018000044B010",
language = "English",
isbn = "978-1-78754-885-5",
volume = "44B",
series = "Advances in Librarianship",
publisher = "Emerald Group Publishing",
pages = "179--199",
editor = "Johnna Percell and Sarin, {Lindsay C.} and Jaeger, {Paul T.} and Bertot, {John Carlo}",
booktitle = "Re-Envisioning the MLS: Perspectives on the Future of Library and Information Science Education",
}