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R. Marciano, V. Lemieux, M. Hedges, M. Esteva, William Underwood, M. Kurtz, Mark Conrad (2018)
Archival Records and Training in the Age of Big Data
This special issue of JOCCH aims to present a wide-ranging review over the current state-of-the-art of research in computational archival science. The large-scale digitisation of analogue archives, the emerging diverse forms of born-digital archive, and the new ways in which researchers across disciplines (as well as the public) wish to engage with archival material are disrupting to traditional archival theories and practices and are presenting challenges for practitioners and researchers who work with archival material. They also offer enhanced pos- sibilities for scholarship, through the application of computational methods and tools to the archival problem space, and, more fundamentally, through the integration of “computational thinking” with “archival thinking.” This potential led the collaborators in this special issue to identify Computational Archival Science (CAS) as a new field of study, and our working definition is: A transdisciplinary field that integrates computational and archival theories, methods, and resources, both to support the creation and preservation of reliable and authentic records/archives and to address large-scale records/archives processing, analysis, storage, and access, with the aim of improving effi- ciency, productivity, and precision, in support of recordkeeping, appraisal, arrangement and description, preservation and access decisions, and engaging and undertaking research with archival material. [1]
Journal on Computing and Cultural Heritage (JOCCH) – Association for Computing Machinery
Published: Jan 21, 2022
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