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This paper proposes the integration of tools to provide unified access to remote and heterogeneous archives, the contents of which can be grouped under the same subject, and which have been integrated to allow the user to navigate and conduct thematic searches. The information sources are locally frequently modified, added to, and removed, therefore attention has been paid to the permanence of their references. Source interoperability is supported at language, protocol and schema levels. The architecture is based on a new common schema of the archives which is defined in new representation and query languages on the basis of an ontology to avoid misunderstanding and ambiguity.

This article aims to develop a framework that considers digital archiving as a form of networked information production, in which the different stages of producing a digital archive are modularized and distributed across different actors. The framework is applied and developed within the context of designing a digital archive for the electronic artwork Rider Spoke. More specifically the framework is applied and developed within the context of designing a subject scheme that provides its users with consistent yet relevant access to the content of the archive.

A total of 74 postgraduate students from the Information School at the University of Sheffield were invited to tag four videos from the Riders Have Spoken archive as a voluntary exercise. Students were evenly distributed across the four videos and each participant was invited to generate up to ten tags; with each tag or annotation representing a point of interest in the content of the video for viewer. The time was also noted. In total, 46 students completed the exercise and this generated 356 user tags. As a collection these tags and annotations represent the terms and vocabulary on which a subsequent content analysis was conducted and a subject language developed.

The development of a subject scheme for a particular single electronic artwork with seven facets, sub-facets, and illustrative examples is presented. The design of the scheme and its relations to prior work in classification is discussed.

Implications of the research for the design of a digital archive and the methods used to construct them are discussed

The originality of the article lies in its characterization of digital archiving as a form of networked information production; and the application of the framework to the design of a faceted scheme enabling subject access to the digital archive of an electronic artwork called Rider Spoke.

Open access to scientific publications is in this study looked at from the perspective of Finnish biomedical research. In the study we outline the development of open access in Finland and the different channels for open access publishing as well as the recommendations from officials. We argue that the discipline-specific patterns of communicating research should be taken into account when studying open access adoption, and when planning for initiatives and recommendations. We have in the case study on the prevalence of open access articles on the Internet, in the field of biomedical research, found that incentives to publish in open access channels could be developed and that the impact of open access in research publishing is growing and therefore future research is needed.

This paper aims to describe the archival holdings of the History of Advertising Trust Archives as a potential resource for marketing historians.

This paper provides a description of the History of Advertising Trust Archives and their value for marketing historians.

The paper introduces the History of Advertising Trust Archives to the readers of the Journal of Historical Research in Marketing.

The purpose of this research is to propose an evaluation framework for analyzing learning objects usage, with the aim of extracting useful information for improving the quality of the metadata used to describe the learning objects, but also for personalization purposes, including user models and adaptive itineraries.

The paper presents experimental results from the log usage analysis during one academic semester of two different subjects, 350 students. The experiment examines raw server log data generated from the interactions of the students with the classroom learning objects, in order to find relevant information that can be used to improve the metadata used for describing both the learning objects and the learning process.

Preliminary studies have been carried out in order to obtain an initial picture of the interactions between learners and the virtual campus, including both services and resources usage. These studies try to establish relationships between user profiles and their information and navigational behavior in the virtual campus, with the aim of promoting personalization and improving the understanding of what learning in virtual environments means.

During the formal learning process, students use learning resources from the virtual classroom provided by the academic library, but they also seek information outside the virtual campus. All these usage data are not considered in the model proposed here. Further research is needed in order to obtain a complete view of the seeking information behavior of students for improving the users' profile and creating better personalized services.

This paper suggests how a selection of fields used in the LOM standard could be used for enriching the description of learning objects, automatically in some cases, from the learning objects usage performed by an academic community.

From libraries beginnings, they have been a “quiet storage place”. With the development of digital libraries, they become a meeting place where explicit and implicit recommendations about information sources can be shared among users. Social and learning process interactions, therefore, can be considered another knowledge source.

By describing some of the often‐ignored aspects of repository advocacy, such as disciplinary differences and how these might affect the adoption of a particular institutional repository, this paper aims to offer practical guidance to repository managers and those responsible for open access and repository policy.

The argument uses examples from an empirical study of 43 in‐depth interviews of academic staff in three disciplines, Chemistry, Computer Science and Sociology, at two Australian universities. The interviewees discussed their interaction with the literature as an author, a reader and a reviewer.

The study finds that disciplines are markedly different from one another, in terms of their subject matter, the speed of publication, information‐seeking behaviour and social norms. These all have bearing on the likelihood a given group will adopt deposit into an institutional repository as part of their regular work practice.

It is important to decide the purpose of the institutional repository before embarking on an advocacy program. By mapping empirical findings against both diffusion of innovations theory and writings on disciplinary differences, this paper shows that repository advocacy addressing the university academic population as a single unit is unlikely to be successful. Rather, advocacy and implementation of a repository must consider the information seeking behaviour and social norms of each discipline in question.

The consideration of disciplinary differences in relation to repository advocacy has only begun to be explored in the literature.

Building a digital language archive requires a number of steps to ensure collecting, describing, preserving and providing access to language data in effective and efficient ways. The purpose of this paper is to describe how the Computational Resource for South Asian Languages (CoRSAL) group has partnered with the University of North Texas (UNT) Digital Library to build a series of interconnected digital collections that leverage existing UNT technical and metadata infrastructure to provide access to data from and for various language communities.

This paper introduces the reader to the background of this project and discusses some of the areas important for representing language materials where both University of North Texas Libraries (UNTL) metadata and CoRSAL metadata practices were adapted to better fit the needs of intended audiences.

We discuss a workflow for standardized language representation (the Language field), defining roles for persons related to the item (Creator and Contributor fields) and including subject representation for language materials (Subjects and Keywords fields).

Although further work is needed to improve language data representation in the CoRSAL digital language archive, the model adopted by the team and lessons learned could benefit others in the language archiving community.

This paper is a significantly extended version of the presentation made at the 1st International Workshop on Digital Language Archives in 2021.

Despite ongoing research into archival metadata standards, digital archives are unable to effectively represent records in their appropriate contexts. This study aims to propose a knowledge graph that depicts the diverse relationships between heterogeneous digital archive entities.

This study introduces and describes a method for applying knowledge graphs to digital archives in a step-by-step manner. It examines archival metadata standards, such as Records in Context Ontology (RiC-O), for characterising digital records; explains the process of data refinement, enrichment and reconciliation with examples; and demonstrates the use of knowledge graphs constructed using semantic queries.

This study introduced the 97imf.kr archive as a knowledge graph, enabling meaningful exploration of relationships within the archive’s records. This approach facilitated comprehensive record descriptions about different record entities. Applying archival ontologies with general-purpose vocabularies to digital records was advised to enhance metadata coherence and semantic search.

Most digital archives serviced in Korea are limited in the proper use of archival metadata standards. The contribution of this study is to propose a practical application of knowledge graph technology for linking and exploring digital records. This study details the process of collecting raw data on archives, data preprocessing and data enrichment, and demonstrates how to build a knowledge graph connected to external data. In particular, the knowledge graph of RiC-O vocabulary, Wikidata and Schema.org vocabulary and the semantic query using it can be applied to supplement keyword search in conventional digital archives.