Multi-disciplinary Research: Open Science Data Lake
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42941-5_7
Reference18 articles.
1. Barry, A., et al.: Logics of interdisciplinarity. Econ. Soc. 37(1), 20–49 (2008)
2. Bezjak, S., et al.: Open Science Training Handbook. Zenodo (2018). https://doi.org/10.5281/zenodo.1212496
3. Bird, I., et al.: Architecture and prototype of a WLCG data lake for HL-LHC. EPJ Web Confer. 214, 04024 (2019). EDP Sciences (2019)
4. Bugbee, K., et al.: Advancing open science through innovative data system solutions: the joint ESA-NASA multi-mission algorithm and analysis platform (MAAP)’s data ecosystem. In: IGARSS 2020 - IEEE International Geoscience and Remote Sensing Symposium, pp. 3097–3100. IEEE (2020)
5. Dang, V.N., Aussenac-Gilles, N., Megdiche, I., Ravat, F.: 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. LNBIP, vol. 476. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-33080-3_28
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