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Building Trust in Earth Science Findings through Data Traceability and Results Explainability
8 references·2 citing·41 second hop
Building Trust in Earth Science Findings through Data Traceability and Results Explainability (2022)Building Trust in Earth Science Findings …Workflow provenance in the lifecycle of scientific machine learning (2021)Workflow provenance in the li…REANA: A System for Reusable Research Data Analyses (2019)REANA: A System for Reusable …Data Provenance (2019)Data ProvenanceSingularity: Scientific containers for mobility of compute (2017)Singularity: Scientific conta…ReproZip (2016)ReproZipPositioning and Power in Academic Publishing: Players, Agents and Agendas (2016)Positioning and Power in Acad…Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)Jupyter Notebooks – a publish…Special Issue: The First Provenance Challenge (2007)Special Issue: The First Prov…PROV-IO: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems (2024)PROV-IO: A Cross-Platform Pro…Orchestration of materials science workflows for heterogeneous resources at large scale (2023)Orchestration of materials sc…Provenance and scientific workflows (2008)Reproducible research in signal processing (2009)How scientists fool themselves – and how they can stop (2015)The Sacred Infrastructure for Computational Research (2017)Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv (2019)Reproducibility in machine‐learning‐based research: Overview, barriers, and drivers (2025)A systematic review of open government data initiatives (2015)CSI (2017)Social Media and Fake News in the 2016 Election (2017)Data Science Technologies in Economics and Finance: A Gentle Walk-In (2021)Enhancing the Reuse of Scientific Experiments for Agricultural Software Ecosystems (2021)Workflow Patterns (2003)1,500 scientists lift the lid on reproducibility (2016)Common Workflow Language, draft 3 (2016)Curious Containers: A framework for computational reproducibility in life sciences with support for Deep Learning applications (2020)Publishing computational research - a review of infrastructures for reproducible and transparent scholarly communication (2020)Scalable Declarative HEP Analysis Workflows for Containerised Compute Clouds (2021)A survey on provenance: What for? What form? What from? (2017)FactSheets: Increasing trust in AI services through supplier's declarations of conformity (2019)Towards Lightweight Data Integration Using Multi-Workflow Provenance and Data Observability (2023)Capturing end-to-end provenance for machine learning pipelines (2024)PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows (2025)A survey of data provenance in e-science (2005)Lineage retrieval for scientific data processing: a survey (2005)A survey of trust in computer science and the Semantic Web (2007)The provenance of electronic data (2008)Towards a Taxonomy of Provenance in Scientific Workflow Management Systems (2009)Scientific workflows: Past, present and future (2017)FireWorks: a dynamic workflow system designed for high‐throughput applications (2015)Enhancing reproducibility for computational methods (2016)Using the Jupyter Notebook as a Tool for Open Science: An Empirical Study (2017)The Fourth Paradigm: Data-Intensive Scientific Discovery [Point of View] (2011)Open science challenges, benefits and tips in early career and beyond (2019)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update (2020)NeuroKit2: A Python toolbox for neurophysiological signal processing (2021)Bioconda: sustainable and comprehensive software distribution for the life sciences (2018)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update (2018)Sustainable data analysis with Snakemake (2021)KBase: The United States Department of Energy Systems Biology Knowledgebase (2018)Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 (2019)Topic Modeling in Management Research: Rendering New Theory from Textual Data (2019)
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References

  • 2016Jupyter Notebooks – a publishing format for reproducible computational workflows3,069 cited
  • 2017Singularity: Scientific containers for mobility of compute2,734 cited
  • 2016Positioning and Power in Academic Publishing: Players, Agents and Agendas935 cited
  • 2007Special Issue: The First Provenance Challenge133 cited
  • 2016ReproZip128 cited
  • 2019REANA: A System for Reusable Research Data Analyses47 cited
  • 2019Data Provenance46 cited
  • 2021Workflow provenance in the lifecycle of scientific machine learning46 cited

Cited by

  • 2024PROV-IO: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems10 cited
  • 2023Orchestration of materials science workflows for heterogeneous resources at large scale7 cited

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