Archival Records and Training in the Age of Big Data

Richard Marciano, Victoria Lemieux, Mark Charles Hedges, Maria Esteva, William Underwood, Michael Kurtz, Mark Conrad

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

36 Citations (Scopus)

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).
Original languageEnglish
Title of host publicationRe-Envisioning the MLS: Perspectives on the Future of Library and Information Science Education
Subtitle of host publicationAdvances in Librarianship, Volume 44B
EditorsJohnna Percell, Lindsay C. Sarin, Paul T. Jaeger, John Carlo Bertot
PublisherEmerald Group Publishing
Chapter9
Pages179-199
Volume44B
ISBN (Electronic)978-1-78754-884-8
ISBN (Print)978-1-78754-885-5
DOIs
Publication statusPublished - 2018

Publication series

NameAdvances in Librarianship
PublisherEmerald Group Publishing
Volume44B
ISSN (Print)0065-2830

Keywords

  • Computational archival science
  • CAS
  • archival thinking
  • computational thinking

Fingerprint

Dive into the research topics of 'Archival Records and Training in the Age of Big Data'. Together they form a unique fingerprint.

Cite this