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Article
Publication date: 2 August 2019

Márton Németh and László Drótos

National Széchényi Library is introducing a new blended learning-based curriculum model on Web archiving for public collection professionals. The purpose of this paper is to…

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Abstract

Purpose

National Széchényi Library is introducing a new blended learning-based curriculum model on Web archiving for public collection professionals. The purpose of this paper is to describe this curriculum concept together with its international context.

Design/methodology/approach

A qualitative case study is being offered. The concept of the curriculum applying the results of an international questionnaire of the International Internet Preservation Consortium. A detailed curriculum structure is being presented together with a brief description of the major professional/ methodological concepts. It is based on constructive pedagogical approach. Based on the same general approach, some major methodological differences among the on-site and e-learning elements of curriculum design are also being described.

Findings

There is a high need to offer trainings in Web archiving filed to digital library professionals throughout Europe. A complex curriculum is highly needed to different target groups by various course delivery forms. The course concept offers a solid base; however, the structure of the curriculum has to reflect to the differences of specific methodological requirements in on-site and e–learning environments. A main goal of the study is describing the possibility to build-up that kind of hibrid blended learning-based training structure. Based on the described curriculum trainings are starting on April 2019. Sharing practical experiences about practical training activities based on this course structure can initiate further discussion on web archiving education field in the future.

Research limitations/implications

This paper would like to imitate some further discussions about methodological issues by developing education and training curricula on Web archiving in various European countries. By the framework of the Training Working Group of the International Internet Preservation Consortium, these proposed discussions can be elaborated.

Practical implications

The main practical implications are to encourage other partner libraries by the framework of the Training Working Group of International Internet Preservation Consortium to build-up similar training programmes and to plan various collaborative activities in this field.

Social implications

The proposed curriculum aims to acquire some major skills and competences on web archiving field by librarians from both the research library and public library sectors. The course can be available to museum professionals and archivists […]. The main goal is to learn to build-up small-scale web archiving projects in local, institutional environments in Hungary. It is quite necessary to preserve Web documents and other materials that are reflecting to the life of the local society. The social impact of preserving the local Web history can be overwhelming in the future.

Originality/value

Much untapped potential exists for librarians, archivists and museum professionals to plan and realize Web archiving projects in their own local institutional environments. This paper describes a new type of national model to offer them getting the necessary skills and competences in this field. There is a significant gap of describing education concepts in Web archiving.

Details

Digital Library Perspectives, vol. 35 no. 2
Type: Research Article
ISSN: 2059-5816

Keywords

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Article
Publication date: 13 October 2023

Judit Gárdos, Julia Egyed-Gergely, Anna Horváth, Balázs Pataki, Roza Vajda and András Micsik

The present study is about generating metadata to enhance thematic transparency and facilitate research on interview collections at the Research Documentation Centre, Centre for…

166

Abstract

Purpose

The present study is about generating metadata to enhance thematic transparency and facilitate research on interview collections at the Research Documentation Centre, Centre for Social Sciences (TK KDK) in Budapest. It explores the use of artificial intelligence (AI) in producing, managing and processing social science data and its potential to generate useful metadata to describe the contents of such archives on a large scale.

Design/methodology/approach

The authors combined manual and automated/semi-automated methods of metadata development and curation. The authors developed a suitable domain-oriented taxonomy to classify a large text corpus of semi-structured interviews. To this end, the authors adapted the European Language Social Science Thesaurus (ELSST) to produce a concise, hierarchical structure of topics relevant in social sciences. The authors identified and tested the most promising natural language processing (NLP) tools supporting the Hungarian language. The results of manual and machine coding will be presented in a user interface.

Findings

The study describes how an international social scientific taxonomy can be adapted to a specific local setting and tailored to be used by automated NLP tools. The authors show the potential and limitations of existing and new NLP methods for thematic assignment. The current possibilities of multi-label classification in social scientific metadata assignment are discussed, i.e. the problem of automated selection of relevant labels from a large pool.

Originality/value

Interview materials have not yet been used for building manually annotated training datasets for automated indexing of scientifically relevant topics in a data repository. Comparing various automated-indexing methods, this study shows a possible implementation of a researcher tool supporting custom visualizations and the faceted search of interview collections.

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