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1 – 4 of 4The advancement of a profession depends on factors such as firm education, training programmes and vibrant professional associations. The purpose of this study is to provide…
Abstract
Purpose
The advancement of a profession depends on factors such as firm education, training programmes and vibrant professional associations. The purpose of this study is to provide baseline information on archives and records management (ARM) professionals from Africa, including their views on education and training programmes. Related studies have been limited to investigating the experiences of graduates from a few institutions within a limited jurisdiction. Similar studies have not been conducted by African-based ARM associations.
Design/methodology/approach
This study’s survey approach was administered electronically. Two surveys explored themes through 10 research questions in three categories: background information; characteristics of the education; and types of courses and extent covered during the study.
Findings
The two surveys had 107 and 179 respondents, respectively, domiciled in 19 African countries. In both studies, about 75% of the respondents had an undergraduate- or master-level qualification. Between 69% and 87% of the respondents from the first and second surveys, respectively, had completed their educational programmes within their home countries. There was varied sentiment on the types of courses and level of coverage within their studies. Legal and technology aspects were less covered in the curriculum than core subjects.
Originality/value
To the best of the author’s knowledge, this study is the first with findings from ARM respondents across several African countries. It provides insight into the demographics and educational programmes. This study’s unique contribution provides baseline data for more detailed and nuanced studies that will explore data and investigate patterns within and among individual countries on the continent.
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Marina Salse, Javier Guallar-Delgado, Núria Jornet-Benito, Maria Pilar Mateo Bretos and Josep Oriol Silvestre-Canut
The purpose of this study is to determine which metadata schemas are used in the museums and university collections of the main universities in Spain and other European countries…
Abstract
Purpose
The purpose of this study is to determine which metadata schemas are used in the museums and university collections of the main universities in Spain and other European countries. Although libraries and archives are also university memory institutions (according to a Galleries, Libraries, Archives and Museums perspective), their collections are not included in this study because their metadata systems are highly standardized and their inclusion would, therefore, skew our understanding of the diverse realities that the study aims to capture.
Design/methodology/approach
The analysis has three components. The first is a bibliographic review based on Web of Science. The second is a direct survey of the individuals responsible for university collections to understand their internal work and documentation systems. Finally, the results obtained are complemented by an analysis of collective university heritage portals in Europe.
Findings
The results of this study confirmed the hypothesis that isolation and a lack of resources are still major issues in many cases. Increasing digitalization and the desire to participate in content aggregation systems are forcing change, although the responsibility for that change at universities is still vague.
Originality/value
Universities, particularly those with a long history, have an important heritage whose parts are often scattered or hidden. Although many contemporary academic publications have focused on the dissemination of university collections, this study focuses on the representation of information based on the conviction that good metadata are essential for dissemination.
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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)…
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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This paper offers a definition of the core of information science, which encompasses most research in the field. The definition provides a unique identity for information science…
Abstract
Purpose
This paper offers a definition of the core of information science, which encompasses most research in the field. The definition provides a unique identity for information science and positions it in the disciplinary universe.
Design/methodology/approach
After motivating the objective, a definition of the core and an explanation of its key aspects are provided. The definition is related to other definitions of information science before controversial discourse aspects are briefly addressed: discipline vs. field, science vs. humanities, library vs. information science and application vs. theory. Interdisciplinarity as an often-assumed foundation of information science is challenged.
Findings
Information science is concerned with how information is manifested across space and time. Information is manifested to facilitate and support the representation, access, documentation and preservation of ideas, activities, or practices, and to enable different types of interactions. Research and professional practice encompass the infrastructures – institutions and technology –and phenomena and practices around manifested information across space and time as its core contribution to the scholarly landscape. Information science collaborates with other disciplines to work on complex information problems that need multi- and interdisciplinary approaches to address them.
Originality/value
The paper argues that new information problems may change the core of the field, but throughout its existence, the discipline has remained quite stable in its central focus, yet proved to be highly adaptive to the tremendous changes in the forms, practices, institutions and technologies around and for manifested information.
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