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Computational Archival Science – Digital records in the age of big data - 8 December 2016

Hyatt Regency Washington on Capitol Hill 400 New Jersey Avenue, NW Washington, D.C., USA, 20001

The workshop will be held on 8 December in Washington DC, USA, in conjunction with the 2016 IEEE International Conference on Big Data (IEEE BigData 2016).

Call for workshop papers: Computational Archival Science – digital records in the age of big data.

http://dcicblog.umd.edu/cas/ieee_big_data_2016_cas-workshop/

Submission Deadline: 3 October 2016

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The large-scale digitization of analogue archives, the emerging diverse forms of born-digital archive, and new ways of engaging with archival material, are resulting in disruptions to traditional archival theories and practices. Increasing quantities of ‘big archival data’ present challenges for the practitioners and researchers who work with archival material, but also offer enhanced possibilities for scholarship through the application of computational methods and tools.

This workshop will explore this conjunction of emerging methods and technologies around big data with archival practice, and examine new forms of analysis and historical, social, scientific, and cultural research engagement with archives. We aim to identify and evaluate current trends, requirements, and potential in these areas, to examine the new questions that they can provoke, and to help determine possible research agendas for the evolution of computational archival science in the coming years, as well addressing the questions and concerns scholarship is raising about the interpretation of ‘big data’ and the uses to which it is put.

Full papers, of up to 9 pages, should be submitted via the conference online submission system. We also encourage submission of short papers (up to 4 pages) reporting work in progress. The submission deadline is 3 October 2016. All papers accepted will be included in the proceedings published by the IEEE Computer Society Press.

Topics covered by the workshop include, but are not restricted to, the following:

  • Application of analytics to archival material, including text-mining, data-mining, sentiment analysis, network analysis.
  • Analytics in support of archival processing, including appraisal, arrangement and description.
  • Scalable services for archives, including identification, preservation, metadata generation, integrity checking, normalization, reconciliation, linked data, entity extraction, anonymization and reduction.
  • New forms of archives, including Web, social media, audiovisual archives, and blockchain.
  • Cyber-infrastructures for archive-based research and for development and hosting of collections
  • Big data and archival theory and practice
  • Digital curation and preservation
  • Crowd-sourcing and archives
  • Big data and the construction of memory and identity
  • Specific big data technologies (e.g. NoSQL databases) and their applications
  • Corpora and reference collections of big archival data
  • Linked data and archives
  • Big data and provenance
  • Constructing big data research objects from archives

The workshop builds on three earlier workshops on ‘Big Humanities Data’ organized by the same chairs at the 2013-2015 IEEE Big Data conferences.

For more information, see the full workshop Call for Papers at http://dcicblog.umd.edu/cas/ieee_big_data_2016_cas-workshop/