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Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP
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Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP (2023)Building the I (Interoperability) of FAIR…Sources of Irreproducibility in Machine Learning: A Review (2022)Sources of Irreproducibility …Methods included (2022)Methods includedBraid-DB: Toward AI-Driven Science with Machine Learning Provenance (2022)Braid-DB: Toward AI-Driven Sc…Reproducibility Practice in High-Performance Computing: Community Survey Results (2021)Reproducibility Practice in H…Implementing FAIR Digital Objects in the EOSC-Life Workflow Collaboratory (2021)Implementing FAIR Digital Obj…ExaWorks: Workflows for Exascale (2021)ExaWorks: Workflows for Exasc…A Community Roadmap for Scientific Workflows Research and Development (2021)A Community Roadmap for Scien…DataStates: Towards Lightweight Data Models for Deep Learning (2020)DataStates: Towards Lightweig…Middleware Building Blocks for Workflow Systems (2019)Middleware Building Blocks fo…FAIR Computational Workflows (2019)FAIR Computational WorkflowsState of the Art: Reproducibility in Artificial Intelligence (2018)State of the Art: Reproducibi…Believe it or not: how much can we rely on published data on potential drug targets? (2011)Reproducible Research in Computational Science (2011)Redefine statistical significance (2017)Threats of a replication crisis in empirical computer science (2020)Applications of deep learning in stock market prediction: Recent progress (2021)Reproducibility in machine learning for health research: Still a ways to go (2021)A Reference Architecture for Scientific Workflow Management Systems and the VIEW SOA Solution (2009)Toil enables reproducible, open source, big biomedical data analyses (2017)Adaptive Ensemble Biomolecular Applications at Scale (2020)Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development (2021)A terminology for scientific workflow systems (2025)Snakemake—a scalable bioinformatics workflow engine (2012)Nextflow enables reproducible computational workflows (2017)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update (2018)Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows (2020)Conceptualising fairness: three pillars for medical algorithms and health equity (2022)Applying the FAIR Principles to computational workflows (2025)CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research (2018)Wilkins: HPC in situ workflows made easy (2024)KNIME - the Konstanz information miner (2009)The five pillars of computational reproducibility: bioinformatics and beyond (2023)Reproducibility and Replicability in Science (2019)A rigorous uncertainty-aware quantification framework is essential for reproducible and replicable machine learning workflows (2023)Reproducible research policies and software/data management in scientific computing journals: a survey, discussion, and perspectives (2025)Generalizable coordination of large multiscale workflows (2021)Workflows Community Summit: Bringing the Scientific Workflows Community Together (2021)Challenges of Provenance in Scientific Workflow Management Systems (2022)Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward (2022)Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis (2023)Machine learning on big data: Opportunities and challenges (2017)The future of scientific workflows (2017)The nf-core framework for community-curated bioinformatics pipelines (2020)Developing and reusing bioinformatics data analysis pipelines using scientific workflow systems (2023)Globus automation services: Research process automation across the space–time continuum (2023)Common Flaws in Running Human Evaluation Experiments in NLP (2024)Increasing the Reproducibility and Replicability of Supervised AI/ML in the Earth Systems Science by Leveraging Social Science Methods (2024)Ten quick tips for building FAIR workflows (2023)Recording provenance of workflow runs with RO-Crate (2024)WorkflowHub: a registry for computational workflows (2025)
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References

  • 2018State of the Art: Reproducibility in Artificial Intelligence292 cited
  • 2022Methods included182 cited
  • 2019FAIR Computational Workflows171 cited
  • 2021Implementing FAIR Digital Objects in the EOSC-Life Workflow Collaboratory70 cited
  • 2021A Community Roadmap for Scientific Workflows Research and Development49 cited
  • 2019Middleware Building Blocks for Workflow Systems47 cited
  • 2022Sources of Irreproducibility in Machine Learning: A Review32 cited
  • 2021Reproducibility Practice in High-Performance Computing: Community Survey Results23 cited
  • 2021ExaWorks: Workflows for Exascale21 cited
  • 2020DataStates: Towards Lightweight Data Models for Deep Learning11 cited
  • 2022Braid-DB: Toward AI-Driven Science with Machine Learning Provenance6 cited

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