Informatio: Journal of Library and Information Science
Informatio is a journal with a focus on studies in the fields of library, information science and knowledge with the following research scope: -The field of library includes librarianship and library management including services, collections, digitization, collaborative networking, and / or other relevant themes. -Information science includes infometrics, bibliometrics, webometrics, information repackaging, information retrieval, information literacy, information organization, and / or other similar themes. -Knowledge management is the process of creating (generating, capturing), storing (preserving, integrating), sharing (communicating, transferring), applying (implementing), and reusing knowledge in GLAM (Gallery, Library, Museum, Archive). -Review of documentation at GLAM (Gallery, Library, Museum, Archive) including collection management in galleries, preservation of collections in libraries, manuscript management, artifacts, archive management, data documentation and publications either in databases or other media (such as repositories, big data , codata, metadata), and other documentation research at information institutions. -Analysis of documents on GLAM (Gallery, Library, Museum, Archive). -Literature analysis on GLAM (Gallery, Library, Museum, Archive).
Articles
102 Documents
Holistic strategy for preserving Sundanese dance digitally: Digitization, intelectual property rights, sustainable cultural regeneration
Khadijah, Ute Lies Siti;
Pamungkas, Kasno;
Rafianti, Laina;
Lusiana, Elnovani;
Bifakhlina, Febriyanti
Jurnal Informatio Vol 6, No 2 (2026): 2026
Publisher : Faculty of Communication, Padjadjaran University
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DOI: 10.24198/inf.v6i2.67970
Background: Sundanese traditional dance is an intangible cultural heritage that carries historical memory, embodied knowledge, aesthetic values, and collective identity. In the contemporary digital environment, this heritage faces intertwined challenges: declining regeneration among young people, weak documentation practices, limited digital capacity in community-based studios, and legal vulnerability caused by incomplete intellectual property protection. Purpose: This study aims to formulate and evaluate a holistic preservation strategy for Sundanese traditional dance by integrating digital archiving, community capacity building, intellectual property protection, and cultural sustainability planning. Methods: The study employed Community Action Research with Azka Studio Dance Community in Rancaekek, Bandung Regency. Data were collected through field observation, interviews with studio managers and participants, documentation studies, training records, metadata compilation, and reflective evaluation. The intervention was organized into four connected stages: diagnosing preservation gaps, planning community-based actions, implementing digitization and legal-literacy activities, and evaluating sustainability outcomes. Results: The intervention achieved the main targeted outputs: ten dance works were documented in high-definition video and described using cultural metadata; eight young digital cadres were trained to manage documentation workflows; thirty youths participated in dance regeneration activities; twenty artists received intellectual property training; five dance works were prepared for copyright registration; and digital dissemination through social media increased public visibility. Conclusion: The study demonstrates that preservation of intangible cultural heritage requires more than recording performances. A sustainable model depends on the integration of archival standards, community participation, legal awareness, and regeneration mechanisms. For Library and Information Science, the case contributes a practical model of community-based digital cultural archiving that connects documentation, metadata, access, rights management, and long-term stewardship.
AI adoption in academic libraries: Practices, challenges, and research opportunities
Dada, Kayode Sunday John;
Quadir, Romoke Opeyemi;
Mallam, Diana
Jurnal Informatio Vol 6, No 2 (2026): 2026
Publisher : Faculty of Communication, Padjadjaran University
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DOI: 10.24198/inf.v6i2.70037
Background: The integration of artificial intelligence (AI) into academic library operations represents one of the most consequential shifts in contemporary library science. Although AI adoption has accelerated globally, empirical evidence documenting actual practices, adoption barriers, and future research trajectories in Nigerian academic libraries remains sparse. This gap is consequential: without a systematic evidence base, institutional decision-makers and professional bodies are compelled to allocate resources and formulate strategy in an evidential vacuum. This study advances the field by delivering the first institutionally stratified empirical investigation comparing federal and state university libraries in Nigeria, thereby contributing a novel and contextually grounded perspective to the global discourse on AI adoption in library and information science.Purpose: This study examines the current state of AI adoption in Nigerian academic libraries, identifying the technologies deployed, the challenges encountered across technological, organisational, environmental, and individual dimensions, and emerging directions for future scholarly inquiry.Methods: A descriptive survey design was employed. Data were collected from 245 library professionals drawn from 30 purposively selected federal and state university libraries across Nigeria using a structured, validated questionnaire (Cronbach’s α = 0.87). Descriptive statistics and frequency distributions were used to analyse the data.Results: Findings reveal that AI-powered catalogue search systems and chatbot-assisted reference services are the most widely adopted practices, while NLP tools and machine learning-based recommendation engines are gaining traction. Inadequate infrastructure, insufficient digital literacy, and limited funding constitute the most persistent barriers to adoption.Conclusions: AI adoption in Nigerian academic libraries is at an early but promising stage, with significant variation across institutional types. The study concludes that targeted policy interventions, capacity-building initiatives, and sustained research investment are essential for scaling AI integration. These findings have direct implications not only for Nigeria but for the broader Global South library community seeking to navigate AI integration within resource-constrained environments.