Good Knowledge and Information Management is essential for good government. The challenges of the digital era are complex and diverse: mimicking a paper-based model is doomed to failure. We need to develop radically new tools and techniques to support enhanced sense-making for information exploitation in the near-term and better long-term preservation and management of historically important material for the long-term.
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This question was published as part of the set of ARIs in this document:
More and more government data are created in digital form. Emails have replaced letters, PDFs and Word documents have replaced paper memos, and audio/visual files are stored in governmental internal archives and in vario...
Funded by: AHRC
Lead research organisation: Loughborough University
The LUSTRE project aims to unlock government archival records in digital form and make them more accessible using Artificial Intelligence (AI). The project addresses the challenges of managing born-digital records and aims to improve access to government archival records.
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 materia...
Funded by: FIC
Lead research organisation: King's College London
The IRCN-CAS project focuses on the use of computational methods for contextualizing digital records, which is one of the central challenges for modern archives. The project aims to collaborate with archival practitioners and address the challenges of digitized and born-digital records.
The AURA network brings together Digital Humanists, Computer Scientists, archivists and other stakeholders to unlock cultural assets held in "dark" digital archives currently closed to users. Not so long ago, h...
Funded by: FIC
Lead research organisation: Loughborough University
The AURA project aims to unlock cultural assets held in 'dark' digital archives by bringing together Digital Humanists, Computer Scientists, archivists, and stakeholders. The project applies Artificial Intelligence (AI) to archives and focuses on making archives more accessible and designing new methodologies to analyze large amounts of data.