Abstract
FAIR principles aim to enhance machine-actionability of research data management, and enable data consumers and providers to scale up to incoming data avalanches. This demo paper describes Leibniz Data Manager (LDM), a research data management repository that resorts to Semantic Web technologies to empower FAIR principles. During the demonstration, the attendees will create various digital objects, and observe the crucial role of metadata in efficient and effective management and analysis of research data management. LDM is publicly available: https://service.tib.eu/ldmservice/.
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CITATION STYLE
Beer, A., Brunet, M., Srivastava, V., & Vidal, M. E. (2022). Leibniz Data Manager – A Research Data Management System. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13384 LNCS, pp. 73–77). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-11609-4_14
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