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DigiSpec: Scoping Future Born-Digital Data Services for the Arts and Humanities: Case Reports

Authors: De Roure, David; Moore, John; Page, Kevin; Burrows, Toby; Beavan, David; Hobson, Timothy; Bergel, Giles; +30 Authors

DigiSpec: Scoping Future Born-Digital Data Services for the Arts and Humanities: Case Reports

Abstract

The DigiSpec Project was funded by the UK Arts and Humanities Research Council in 2022 under its “Scoping Future Data Services for the Arts and Humanities” programme. As part of the evidence base for its report, the project collected twenty short Case Reports from experts in the field of born-digital data services. Each of these describes the current and future activities and requirements of a significant UK project or service. These Case Reports are published in this collection. The DigiSpec Project also commissioned three longer Case Studies, which are being published separately- TABLE of CONTENTS Author Project Pages David Beavan, Timothy Hobson (Alan Turing Institute) Living with Machines 1-4 Giles Bergel, Abhishek Dutta, Andrew Zisserman (University of Oxford) National Library of Scotland Chapbooks 5-8 Aruna Bhaugeerutty (Oxford) Oxford University Museums Digital Collections Service 9-12 Samantha Blickhan (Zooniverse & Adler Planetarium) ALICE: The Aggregate Line Inspector & Collaborative Editor 13-14 Toby Burrows (University of Oxford) Knowledge graphs – Mapping Manuscript Migrations 15-19 Alan Chamberlain (University of Nottingham) Rider Spoke – Riders Have Spoken (Archive) 20-21 Arianna Ciula (King’s College London) King’s Digital Lab Infrastructure at King’s College London 22-28 Ian Cooke (British Library) The UK Web Archive 29-32 Ian Cooke & Stella Wisdom (British Library), Graeme Hawley (National Library of Scotland) Emerging formats 33-37 Tim Crawford, Golnaz Badkobeh, & David Lewis (Goldsmiths University of London), Alastair Porter (Universitat Pompeu Fabra, Barcelona), Laurent Pugin & Rodolfo Zitellini (RISM Digital, Bern) F-Tempo (Full-Text search of Early Music Prints Online) 38-41 Nicholas Cronk, Birgit Mikus (University of Oxford) Challenges of Scholarly Editions: Digital Voltaire and Digital d’Holbach 42-44 Neil Jefferies (University of Oxford), Peter Cornwell (Data Futures) Annotation: anəstor 45-47 Neil Jefferies (University of Oxford), Peter Cornwell (Data Futures) Redelivery: freizo 48-50 Huw Jones (Cambridge University) Cambridge Digital Library – TEI Metadata 51-54 Christopher Melen (Royal National College of Music) PriSM Sample RNN 55-58 Kieron Niven (Archaeology Data Service) High Speed 2 (HS2) Historic Environment Digital Archive 59-63 Rachel Proudfoot, Nicola Barnet, Masud Khokar, John Salter (University of Leeds) White Rose Etheses Online: theses as complex digital objects 64-69 Gethin Rees (British Library) Open Geospatial Data Application and Services viewer (OGDAS) 70-72 Pedro Maximo Rocha & Amy Sampson (The National Archives) Environmental monitoring system and its integration with digital twins 73-75 Martin Wynne (University of Oxford) Literary and Linguistic Data Service [formerly Oxford Text Archive] 76-78

The "DigiSpec: Scoping future born-digital data services for the arts and humanities" project was funded by the UK Arts and Humanities Research Council (AHRC) under research grant number AH/W007592/1.

Keywords

Art and humanities, Digital research infrastructure, Data services, Born-digital data, Digital humanities

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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