Towards an ontological cross-disciplinary solution for multidisciplinary data: VI-SEEM data management and the FAIR principles

Abstract

Different scientific communities produce different kinds of datasets that rely on different data descriptions, approaches, and logical organisations. In such an environment, it is essential to establish a knowledge communication framework that can guarantee some fundamentals, such as an inclusive description and documentation of the interdisciplinary digital resources, their long-term preservation, access, use, and reuse. The establishment of semantic knowledge integration aims at overcoming such inhomogeneity between data produced by different research communities. Specifically, we refer to those communities aggregated within the e-Infrastructure developed by the European project VI-SEEM: Life Science, Climate Science, and Digital Cultural Heritage. The current research proposes a framework based on CIDOC CRM and its extensions, in particular the CRMsci and CRMdig, and tested on examples identified as interdisciplinary respect to the different and various research areas of the project. Moreover, the semantic solution aims at fulfilling the FAIR principles.