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Automating the Evaluation of Datasets for FAIR and CARE Principles., , , , and . e-Science, page 1-2. IEEE, (2023)Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources., , , , , and . ICCS, volume 80 of Procedia Computer Science, page 700-711. Elsevier, (2016)Modular Resource Centric Learning for Workflow Performance Prediction., , , , and . CoRR, (2017)Preserving File Provenance Using Principles of Blockchain to Ensure Scientific Reproducibility., , , and . e-Science, page 1-7. IEEE, (2023)Big data provenance: Challenges, state of the art and opportunities., , , , and . IEEE BigData, page 2509-2516. IEEE Computer Society, (2015)Scalable Workflow-Driven Hydrologic Analysis in HydroFrame., , , , and . ICCS (1), volume 12137 of Lecture Notes in Computer Science, page 276-289. Springer, (2020)A machine learning approach for modular workflow performance prediction., , , and . WORKS@SC, page 7:1-7:11. ACM, (2017)Modular performance prediction for scientific workflows using Machine Learning., , , and . Future Gener. Comput. Syst., (2021)Toward a Methodology and Framework for Workflow-Driven Team Science., , , , and . Comput. Sci. Eng., 21 (4): 37-48 (2019)TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19., , , , , , , , , and 4 other author(s). IEEE BigData, page 4411-4420. IEEE, (2021)