Abstract
Open Science aims at sharing results and data widely between different research domains. Interoperability is one of the keys to enable the exchange and crossing of data between different research communities. In this paper, we assess the state of the interoperability of Open Science datasets from various communities. The diversity of metadata schemata of these datasets from different sources does not allow for native interoperability, highlighting the need for matching tools. The question is whether current metadata schema matching tools are sufficiently efficient to achieve interoperability between existing datasets. In our study, we first define our vision of interoperability by transversally considering the technical and semantic aspects when dealing with metadata schemata coming from various domains. We then evaluate the interoperability of some datasets from the medical domain and Earth system study domain using acknowledged matching tools. We evaluate the performance of the tools, then we investigate the correlation between various metrics characterizing the schemata and the performance related to their mapping. This paper leads to identify complementary ways to improve dataset interoperability: (1) to adapt mapping algorithms to the issues raised by metadata schema matching; (2) to adapt metadata schemata, for instance by sharing a core vocabulary and/or reusing existing standards; (3) to combine various trends in a more complex interoperability approach that would also make available and operational the (RDA) crosswalks between schemata and that would promote good practices in metadata labeling and documentation.
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Dang, VN., Aussenac-Gilles, N., Megdiche, I., Ravat, F. (2023). Interoperability of Open Science Metadata: What About the Reality?. In: Nurcan, S., Opdahl, A.L., Mouratidis, H., Tsohou, A. (eds) Research Challenges in Information Science: Information Science and the Connected World. RCIS 2023. Lecture Notes in Business Information Processing, vol 476. Springer, Cham. https://doi.org/10.1007/978-3-031-33080-3_28
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