Management of Geospatial Data: Preservation Challenges, Multidisciplinary Approaches, and the Role of Library and Information Science

Purpose Research. This study systematically reviews research on geospatial data preservation, focusing on challenges, solutions, and the role of library and information science (LIS) in ensuring sustainable access. Research Method. Using the PRISMA framework, data were collected from the Taylor & Francis (www.tandfonline.com) database. Keywords included “Geospatial Data Curation”, “Archive Geospatial Data”, and “Geospatial Data Preservation”. Ninety-five article topics were found discussing geospatial data preservation. After screening, the duplication selection stage, due to combined keywords during the search, language selection and publication range, 10 peer-reviewed articles (2010–2020) were selected for analysis. Analysis Data. The selected articles were analyzed thematically, focusing on technical, institutional, and socio-technical dimensions. The analysis also examined the application of FAIR principles (Findable, Accessible, Interoperable, Reusable) and emerging trends like AI for data curation and IoT-generated data integration. Results. Findings reveal three main challenges: (1) technical issues like data heterogeneity and technological obsolescence; (2) institutional fragmentation, including inconsistent policies; and (3) the need for LIS professionals to adapt to roles in digital curation and metadata management. Emerging trends highlight the growing importance of interdisciplinary collaboration and innovative technologies. Conclusions. The study concludes that a multidisciplinary approach—integrating technical innovation, institutional collaboration, and LIS expertise—is crucial for effective preservation. Recommendations include developing standardized frameworks, enhancing the role of librarians in digital stewardship, and fostering interdisciplinary research. Future studies should explore real-time data preservation and the ethical implications of long-term access.Keywords: Geospatial data curation, Geospatial data preservation, Archive Geospatial Data, Library Preservation, Systematic Literature Review