Computational Archival Science

… the archives of the future

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The “COMPUTATIONAL ARCHIVAL SCIENCE (CAS)” Portal
http://dcicblog.umd.edu/cas

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What is Computational Archival Science (CAS)? An initial working definition:

A transdisciplinary field concerned with the application of computational methods and resources to large-scale records/archives processing, analysis, storage, long-term preservation, and access, with aim of improving efficiency, productivity and precision in support of appraisal, arrangement and description, preservation and access decisions, and engaging and undertaking research with archival material.

Our initial CAS operational definition is:

Contributing to the development of the theoretical foundations of a new transdiscipline of computer and archival science.

Objectives:
1. Contribute to the development of the theoretical foundations of a new trans-discipline of computer and archival science

2. Design the educational foundations and delivering training in this emerging trans-discipline to support all industries and fields

3. Develop a virtual and physical laboratory to test and apply scientific advances in a collaborative environment

Archives

  • December 2017
  • September 2016

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  • IEEE Big Data 2016
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  • IEEE Big Data 2017: 2nd CAS workshop
  • IEEE Big Data 2018
  • IEEE Big Data 2018: 3rd CAS workshop
  • IEEE Big Data 2019: CAS#4
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  • Sep. 7, 2018: UK TNA-KCL CAS Workshop
  • Six International CAS Workshops
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  • IEEE Big Data 2016: 1st CAS workshop

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