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Mapping Solid Earth Data and Research Infrastructures to CERIF.

, , , , , and . CRIS, volume 106 of Procedia Computer Science, page 112-121. Elsevier, (2016)

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DARE Platform: a Developer-Friendly and Self-Optimising Workflows-as-a-Service Framework for e-Science on the Cloud., , , , , , and . J. Open Source Softw., 5 (54): 2664 (2020)Towards Addressing CPU-Intensive Seismological Applications in Europe., , , , , , , , , and 10 other author(s). ISC, volume 7905 of Lecture Notes in Computer Science, page 55-66. Springer, (2013)Mapping Solid Earth Data and Research Infrastructures to CERIF., , , , , and . CRIS, volume 106 of Procedia Computer Science, page 112-121. Elsevier, (2016)dispel4py: An Agile Framework for Data-Intensive eScience., , , , , and . e-Science, page 454-464. IEEE Computer Society, (2015)SWIRRL. Managing Provenance-aware and Reproducible Workspaces., , , , and . Data Intell., 4 (2): 243-258 (2022)Provenance for seismological processing pipelines in a distributed streaming workflow., , and . EDBT/ICDT Workshops, page 307-312. ACM, (2013)Active Provenance for Data-Intensive Workflows: Engaging Users and Developers., , and . eScience, page 560-569. IEEE, (2019)Ease Access to Climate Simulations for Researchers: IS-ENES Climate4Impact., , , , and . eScience, page 586-587. IEEE, (2019)Editors' Note: Special Issue on Canonical Workflow Frameworks for Research., , , , , , and . Data Intell., 4 (2): 149-154 (2022)Canonical Workflows to Make Data FAIR., , , , , , , and . Data Intell., 4 (2): 286-305 (2022)