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The PICCH research project contributes to opening a dialogue between cultural heritage archives and users. Hence, the users are identified and their information needs, the search strategies they apply and the search challenges they experience are uncovered.

A combination of questionnaires and interviews is used for collection of data. Questionnaire data were collected from users of three different audiovisual archives. Semi-structured interviews were conducted with two user groups: (1) scholars searching information for research projects and (2) archivists who perform their own scholarly work and search information on behalf of others.

The questionnaire results show that the archive users mainly have an academic background. Hence, scholars and archivists constitute the target group for in-depth interviews. The interviews reveal that their information needs are multi-faceted and match the information need typology by Ingwersen. The scholars mainly apply collection-specific search strategies but have in common primarily doing keyword searching, which they typically plan in advance. The archivists do less planning owing to their knowledge of the collections. All interviewees demonstrate domain knowledge, archival intelligence and artefactual literacy in their use and mastering of the archives. The search challenges they experience can be characterised as search system complexity challenges, material challenges and metadata challenges.

The paper provides a rare insight into the complexity of the search situation of cultural heritage archives, and the users’ multi-facetted information needs and hence contributes to the dialogue between the archives and the users.

This paper aims to explore the role played by the National Archives of South Africa in human rights promotion and protection. The study examined the challenges that archivists encounter when undertaking archival functions, such as acquisition, appraisal and access provision, that contribute to forming documentary archives crucial for human rights promotion and protection.

A review of literature dealing with acquisition, appraisal and access was used in this research. It was supplemented with interviews.

This paper provides recommendations of benefits in the field of archives management with a focus on the areas of acquisition, appraisal and access. The transformational discourse in the jurisdiction of archives management challenges archival institutions to be active players in selecting historical and cultural archives’ significance that is significant in human rights protections. However, despite judicial requirements that recommend the importance of archives, there is evidence that archival functions such as appraisal, acquisition and access are not being fully used, resulting in national archives institutions that are subject to irregularities that contribute to an unbalanced archives collection.

The paper was limited only to the National Archives of South Africa.

The paper makes practical implications concerning the acquisition, appraisal and providing access to human rights records.

Sufficient funding resource allocation ought to be provided to advance human rights promotion.

This paper offers informed recommendations to address the challenges of acquisition, appraisal and access provision of archive materials. The availability of archives materials reinforces the community by aiding to protect legal rights and prevent human rights violations. It was, thus, necessary to establish whether the National Archives of South Africa is actively building the archives collections that are important for human rights promotion and protection.

In describing these projects, the authors hope to encourage academic librarians and archivists to participate in, and even facilitate, similar work at their own institutions. Although both of these projects began in the library and included readings and discussions related to library and archival practices, the most generative conversations rapidly shifted from “how should the library handle these materials?” to “what might this institution do to reckon with its history?” When traditional library practices were de-centered and community perspectives were sought on the college archive, the authors were able to have more inclusive, authentic conversations about the college's history and future.

This case study explores two projects undertaken at a liberal arts college: a working group and a credit-bearing course intended to reckon with racist, xenophobic or otherwise harmful materials in the college archive. Both projects were informed by the authors' engagement with Tema Okun's White Supremacy Culture and guided by inclusive pedagogies and practices that participants had explored in workshops and within the context of the college's Engaged Pluralism Initiative.

The working group and the course underscore the centrality of relationships, trust-building and time to the work of addressing difficult histories. The “campus-wide conversations” the authors had hoped to have about the college archive evolved into smaller spaces developed with intention and care. The diverse perspectives of working group members and students in the course demonstrate the value of bringing together viewpoints from outside the library and beyond institutional or disciplinary silos, to consider far-reaching systemic issues.

Many US colleges and universities have begun, or will begin, to investigate the myriad ways in which racism, racial exclusion, or racial violence have marked their institutions and how these troubled legacies persist in the present day. This case study proposes possible approaches that academic libraries and librarians may take to contribute to this essential work.

These two projects propose that work that typically happens solely within libraries and archives (cataloging and description of potentially harmful materials) or within institutional or disciplinary silos (reckoning with legacies of racism and bias) can be discussed, debated, and shared among the campus community. All of the participants in the working group and the course, regardless of their title, role, or academic credentials, bring necessary expertise and experience to these projects. Inclusive practices, when paired with grassroots energy, suggest ways in which a college archive can be used as a site of evidence, reflection, interrogation, and repair.

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.

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.

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.

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.

The digitalization of archival management has rapidly developed with the maturation of digital technology. With data's exponential growth, archival resources have transitioned from single modalities, such as text, images, audio and video, to integrated multimodal forms. This paper identifies key trends, gaps and areas of focus in the field. Furthermore, it proposes a theoretical organizational framework based on deep learning to address the challenges of managing archives in the era of big data.

Via a comprehensive systematic literature review, the authors investigate the field of multimodal archive resource organization and the application of deep learning techniques in archive organization. A systematic search and filtering process is conducted to identify relevant articles, which are then summarized, discussed and analyzed to provide a comprehensive understanding of existing literature.

The authors' findings reveal that most research on multimodal archive resources predominantly focuses on aspects related to storage, management and retrieval. Furthermore, the utilization of deep learning techniques in image archive retrieval is increasing, highlighting their potential for enhancing image archive organization practices; however, practical research and implementation remain scarce. The review also underscores gaps in the literature, emphasizing the need for more practical case studies and the application of theoretical concepts in real-world scenarios. In response to these insights, the authors' study proposes an innovative deep learning-based organizational framework. This proposed framework is designed to navigate the complexities inherent in managing multimodal archive resources, representing a significant stride toward more efficient and effective archival practices.

This study comprehensively reviews the existing literature on multimodal archive resources organization. Additionally, a theoretical organizational framework based on deep learning is proposed, offering a novel perspective and solution for further advancements in the field. These insights contribute theoretically and practically, providing valuable knowledge for researchers, practitioners and archivists involved in organizing multimodal archive resources.

Recent archiving and curatorial practices took advantage of the advancement in digital technologies, creating immersive and interactive experiences to emphasize the plurality of memory materials, encourage personalized sense-making and extract, manage and share the ever-growing surrounding knowledge. Audiovisual (AV) content, with its growing importance and popularity, is less explored on that end than texts and images. This paper examines the trend of datafication in AV archives and answers the critical question, “What to extract from AV materials and why?”.

This study roots in a comprehensive state-of-the-art review of digital methods and curatorial practices in AV archives. The thinking model for mapping AV archive data to purposes is based on pre-existing models for understanding multimedia content and metadata standards.

The thinking model connects AV content descriptors (data perspective) and purposes (curatorial perspective) and provides a theoretical map of how information extracted from AV archives should be fused and embedded for memory institutions. The model is constructed by looking into the three broad dimensions of audiovisual content – archival, affective and aesthetic, social and historical.

This paper contributes uniquely to the intersection of computational archives, audiovisual content and public sense-making experiences. It provides updates and insights to work towards datafied AV archives and cope with the increasing needs in the sense-making end using AV archives.

This study aims to identify the readiness of institutional repositories in Indonesia to implement digital humanities (DH) data curation. Data curation is a method of managing research data that maintains the data’s accuracy and makes it available for reuse. It requires controlled data management.

The study uses a qualitative approach. Data collection was carried out through a focus group discussion in September–October 2022, interviews and document analysis. The informants came from four institutions in Indonesia.

The findings reveal that the national research repository has implemented data curation, albeit not optimally. Within the case study, one of the university repositories diligently curates its humanities data and has established networks extending to various ASEAN countries. Both the national archive repository and the other university repository have implemented rudimentary data curation practices but have not prioritized them. In conclusion, the readiness of the national research repository and the university repository stand at the high-capacity stage, while the national archive repository and the other university repository are at the established and early stages of data curation, respectively.

This study examined only four repositories due to time constraints. Nonetheless, the four institutions were able to provide a comprehensive picture of their readiness for DH data curation management.

This study provides insight into strategies for developing DH data curation activities in institutional repositories. It also highlights the need for professional development for curators so they can devise and implement stronger ownership policies and data privacy to support a data-driven research agenda.

This study describes the preparations that must be considered by institutional repositories in the development of DH data curation activities.

The purpose of this article is to share this study’s efforts to foster belonging in special collections public service spaces, as Black and Latina practitioners of color, while navigating known systemic professional barriers to inclusivity in the library information profession.

In this conceptual essay, frameworks from Black and Chicana feminist theories are applied which resonate deeply with this study’s practices but are not often encountered in library spaces, namely intersectional nepantla, which is used to situate the positionality within special collections.

Fostering belonging in special collections environments is an ongoing effort, but this study offers reflections in solidarity with all who seek to increase inclusivity and equity in their spaces. It is believed that the cumulative impact of many small actions implemented from the ground up can potentially be as significant as top-down, administrative charges.

This article's originality stems from both its authors and the methodology. As BIPOC practitioners, to the authors emphasize the authentic, day-to-day interactions that are essential to developing inclusivity and equity in special collections and archival spaces. Special collections reference workers have limited time off desk to collaborate and conduct research.

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.