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Article
Publication date: 28 October 2013

Andy Stauder

The author conducted a survey with regard to the situation of audiovisual media in European higher education, with regard to quantities, storage conditions, digitisation, and…

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Abstract

Purpose

The author conducted a survey with regard to the situation of audiovisual media in European higher education, with regard to quantities, storage conditions, digitisation, and digital preservation of audiovisual media, and attitudes towards these topics. This paper aims to document the findings.

Design/methodology/approach

In total, 226 of around 800 addressed institutions in 33 European states filled in an online questionnaire.

Findings

The picture that presents itself is a very diverse one with a variety of content lifecycle stages, types of content and data carriers, and attitudes. Information regarding collections is often fragmentary: there were even contradictory statements from the same organisations, and only 50 percent of the responding institutions had detailed information on their collections. A correlation between lack of information and state of collections could be found: institutions that had thoroughly surveyed their collections often had repositories and dedicated considerable effort to digitisation and preservation.

Practical implications

A definite need for digitisation and preservation could be confirmed. Extrapolating from the figures that were the outcome of the present survey, the hours of content existing in European higher education institutions can be expected to run well into the millions. In general, the field of digitisation and digital preservation of multimedia content in higher education could be found to be one that is still in a state of flux and more than superficial awareness of it is lower than could be expected in the information age.

Originality/value

This is the first study on such a large scale to have been conducted on the subject of the preservation, management, and use of audiovisual media in European higher education.

Details

OCLC Systems & Services: International digital library perspectives, vol. 29 no. 4
Type: Research Article
ISSN: 1065-075X

Keywords

Available. Open Access. Open Access
Article
Publication date: 18 April 2024

Joseph Nockels, Paul Gooding and Melissa Terras

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI)…

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Abstract

Purpose

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

Design/methodology/approach

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Findings

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Originality/value

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.

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