and Cultural Heritage (JOCCH)
Deadline October 31, 2020
Eirini Goudarouli, The National Archives, UK
Richard Marciano, University of Maryland, USA
This aim of this special issue is to explore the conjunction of emerging computational and analytical methods and technologies with archival practice (including record keeping), and their consequences for historical, social, scientific, and cultural research engagement with archives. We want to identify potential in these areas and examine the new questions that they can provoke. At the same time, we aim to address the questions and concerns scholarship is raising about issues of interpretation raised by such methods, and in particular the challenges of producing quality – meaning, knowledge and value – from quantity, tracing data and analytic provenance across complex knowledge production ecosystems, and addressing data privacy and other ethical issues.
We welcome papers on topics including, but not restricted to, the following:
- Application of analytics to archival material, including text mining, data mining, sentiment analysis, network analysis.
- Analytics in support of records and archival processing, including e-discovery, identification of personal information, appraisal, arrangement and description.
- Artificial intelligence and archives
- Scalable services for archives, including identification, preservation, metadata generation, integrity checking, normalization, reconciliation, linked data, entity extraction, anonymization and reduction.
- New forms of records and archives, including Web, social media, audio-visual archives, and blockchain
- Cyber-infrastructures for archive-based research and for development and hosting of collections
- Big data and archival theory and practice
- Synergies between computational and human-based methods (e.g. crowdsourcing) in an archival context
- Computational archives and the construction of memory and identity
- Specific computational or ‘big data’ technologies (e.g. NoSQL databases) and their applications
- Corpora and reference collections of big archival data
- Authenticity and provenance
- Legal and ethical issues
We wish to attract a broad set of researchers from the archives community, the computer science, data science and AI communities, as well as the cultural heritage community, into a truly interdisciplinary and pertinent special issue. Authors are invited to submit papers on original and unpublished research and practical applications concerning computational archival science. As with the broader topics of JOCCH, we welcome submissions on Use-inspired Basic Research and on Applied Research.
- Submission: August 31, 2020
- First review: October 31, 2020
- Revised papers: January 15, 2021
- Final review: February 15, 2021
- Final version: April 30, 2021
- Publication expected in Summer 2021
Accepted papers will be published in the ACM Journal on Computing and Cultural Heritage. Regular papers are expected to be 10-20 pages long (5,000-10,000 words), while other types of papers are possible (see the Author Guidelines). Please follow the formatting instructions for the journal. When submitting, please select the option “Computational Archival Science” as the manuscript type in the journal submission system.
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