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This paper aims to explore two separate legacy oral history digitization projects at one institution and how the project teams approached the different issues and challenges these projects presented.

The approach compares two case studies of how digitization of legacy oral history collections was carried out. The paper discusses these projects utilizing a lifecycle model approach and reveals how archival and digital humanities perspectives drove some of the projects’ differences.

The authors find that when working with digitizing legacy oral history collections, each collection will require different approaches and methods of problem solving. In large institutions with multiple repositories, it can be useful for project teams to consult each other to develop best practices.

The two case studies presented in this paper can serve as models for other institutions digitizing many oral history collections and serve as a model for communication and collaboration in larger institutions with multiple repositories.

This paper compares and contrasts two case studies of digitization projects involving legacy oral history collections in different units of one large institution. Project teams were influenced by different approaches. One project was conducted by archivists and the other led by a digital humanities librarian. Differing professional foci provided different perspectives about collection characteristics and, subsequently, led to different approaches that impacted implementation of the projects.

The purpose of this study is to examine how the University of Wisconsin Law School Library sought to create easily searchable oral histories by partnering with the University of Kentucky and the University of Wisconsin Oral History Program. Through this partnership, a digital archive of fully searchable and indexed oral histories with links to relevant articles, Library of Congress keywords, summaries and maps is being created, giving users the ability to delve into the Law School’s history more deeply and with more historical perspective than ever before.

The implementation of the Oral History Metadata Synchronizer (OHMS) and the development of a daily workflow for adding University of Wisconsin Law School oral histories to the program is closely examined. The pros and cons of the program are discussed as well as the future of the Law School oral histories.

The OHMS program is a powerful tool that allows researchers to quickly and easily locate relevant portions of an oral history, saving the time required to review hours of an interview. OHMS also allows archivists and librarians to better organize and catalog each oral history by providing important metadata tools that provide context and background on each unique oral history.

The University of Wisconsin Law School is the first law school to implement the OHMS program in concert with an institutional repository. The program, which is free and open source, may be of great value to historians, archivists and non-profits who wish to make their content more visible and more searchable.

The purpose of this paper is to make a systematic review of the library metadata development history listing out the most significant landmarks and influencing events from Thomas Bodley's rules to the latest BIBFRAME architecture, compare their significance and suitability in the modern-day Web environment.

Four time divisions were identified, namely pre-1900 era, 1900–1950, post-1950 to pre-Web era and post-Web era based on pre-set information available to the authors regarding catalogue rules. Under these four divisions, relevant information sources regarding the purpose of the study were identified; various metadata standards released at different times were consulted.

Library catalogue standards have undergone transitive changes from one form to another primarily influenced by the changing work environment and different forms of resource availability in libraries. Modern-day metadata standards are influenced by the opportunities provided by the World Wide Web towards libraries and work as a suitable base for data organisation at par with Semantic Web standards.

Information organisation processes have gone towards a more data-centric approach than earlier document-centric nature in current Semantic Web environment. Libraries had to make a move in this process, and modern-day guidelines in this regard bring the possibility of large-scale discovery services through curated information resources.

The study discovers relationships between key events in the course of development of metadata standards and provides suggestions and predictions regarding it's future developments.

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.

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.

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.

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.

This paper aims to examine how an open-source information management system was developed to manage a collection of more than 10,000 oral history interviews at the University of Kentucky Libraries’ Louie B. Nunn Center for Oral History.

Digital library architects at the University of Kentucky Libraries built an open-source information management system for oral history using the open-source tools Omeka and Blacklight. Additional open-source code was developed to facilitate interaction between these tools.

Information management systems that address needs of libraries and archives can be built by combining existing open-source tools in complementary ways.

This work at the University of Kentucky Libraries serves as a proof of concept for other institutions to examine as a potential model to follow or adapt for their own local needs. The SPOKEdb framework can be replicated elsewhere, as the major and minor components are open-source. SPOKEdb at its conceptual level is a unique information management system based on its tailored approach to serving the needs of oral history management at various user levels including both administrative and public.

The purpose of this paper is to conduct a UK-based assessment of oral history technology and to identify the most important features that should be available in any oral history search system.

A co-design approach involving interviews and focus groups was adopted. The framework approach with elements of grounded theory was used to analyse transcripts to identify themes.

The analysis found that “ethics, consent and control”, “accessibility and engagement”, “publicity and awareness”, and “innovative technologies” were the four major themes identified. It was also established that there is limited understanding of oral history in the digital age, numerous interests, ethical concerns, lack of publicity and several key attributes that those designing an oral history search system or archive should strive for. The findings also identified that further exploration into sampling selected technologies on different user groups is required in order to develop software that would benefit the field.

Participants were all recruited from one geographic region. The qualitative methodology utilised could be deemed to have elements of subjectivity.

This study has identified important features of any oral history search system and offered design recommendations for any developer of an oral history search systems.

This research has validated some previous findings for oral history search systems from more limited user studies. New issues for consideration including usability, software development and marketing have also been identified.

Provenance information is crucial for consistent maintenance of metadata schemas over time. The purpose of this paper is to propose a provenance model named DSP-PROV to keep track of structural changes of metadata schemas.

The DSP-PROV model is developed through applying the general provenance description standard PROV of the World Wide Web Consortium to the Dublin Core Application Profile. Metadata Application Profile of Digital Public Library of America is selected as a case study to apply the DSP-PROV model. Finally, this paper evaluates the proposed model by comparison between formal provenance description in DSP-PROV and semi-formal change log description in English.

Formal provenance description in the DSP-PROV model has advantages over semi-formal provenance description in English to keep metadata schemas consistent over time.

The DSP-PROV model is applicable to keep track of the structural changes of metadata schema over time. Provenance description of other features of metadata schema such as vocabulary and encoding syntax are not covered.

This study proposes a simple model for provenance description of structural features of metadata schemas based on a few standards widely accepted on the Web and shows the advantage of the proposed model to conventional semi-formal provenance description.

By reporting the experience gained in the development of a digital image library in the academic environment, this paper aims at providing perspective developers with insights on the main usability issues raised by this type of project.

The paper addresses three common needs in academia with respect to image collections: preservation, access, and reuse. In the framework of the specific project experience, it discusses how usability issues have been tackled at design time, highlights the usability problems revealed by tests on the first implemented prototype, and advances proposals on how these problems may be addressed.

Team formation and high turn‐over impact usability design; collection management functionalities effect final product usability; usability and resource reuse levels are severely reduced if the services are limited to those of classic digital libraries.

All usability issues are discussed with respect to the specific project characterized by a small, in‐house development team with high turn‐over; a participatory design approach; a fairly small, accessible, and heterogeneous user (and stakeholder) population; very limited financial resources but also limited time constraints.

A usability guide for future developers of digital image libraries in academia.

Addressing usability issues related specifically to the design of digital image libraries rather than text‐based digital libraries. Addressing the objectives of image reuse and of widespread adoption. Discussing usability design by a team of students with heterogeneous background in academic environment.

This paper seeks to discuss the roles and responsibilities of a metadata manager in collaborative digital projects.

The paper describes the general requirements for metadata management, and introduces some scenarios in the practices of digital projects by the Rutgers University Libraries to support the generalized definition. A workflow of metadata management is illustrated.

With an explicit definition of the roles and responsibilities of the metadata manager, many other digital libraries that need to develop a new or optimize the existing workflow may find the Rutgers experience useful as a reference.

Very few papers have explored this topic, although the functions of metadata in the development of digital projects have been talked about extensively.

In the fall of 2002, the University of Illinois Library at Urbana‐Champaign received a grant from the Institute of Museum and Library Services (IMLS) to implement a collection registry and item‐level metadata repository for digital collections and content created by or associated with projects funded under the IMLS National Leadership Grant (NLG) program. When built, the registry and metadata repository will facilitate retrieval of information about digital content related to past and present NLG projects. The process of creating these services also is allowing us to research and gain insight into the many issues associated with implementing such services and the magnitude of the potential benefit and utility of such services as a way to connect, bring together, and make more visible a broad range of heterogeneous digital content. This paper describes the genesis of the project, the rationale for architectural design decisions, challenges faced, and our progress to date.