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A survey on provenance: What for? What form? What from?
9 references·16 citing·32 second hop
A survey on provenance: What for? What form? What from? (2017)A survey on provenance: What for? What fo…The Open Provenance Model core specification (v1.1) (2010)The Open Provenance Model cor…Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Galaxy: a comprehensive appro…Provenance for Computational Tasks: A Survey (2008)Provenance for Computational …Provenance and scientific workflows (2008)Provenance and scientific wor…VisTrails (2006)VisTrailsTaverna: lessons in creating a workflow environment for the life sciences (2005)Taverna: lessons in creating …A survey of data provenance in e-science (2005)A survey of data provenance i…Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)Taverna: a tool for the compo…Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Beyond Accuracy: What Data Qu…Recording provenance of workflow runs with RO-Crate (2024)Recording provenance of workf…Responsible data management (2022)Responsible data managementWorkflow provenance in the lifecycle of scientific machine learning (2021)Workflow provenance in the li…Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems (2021)Outlining Traceability: A Pri…Fine-grained lineage for safer notebook interactions (2021)Fine-grained lineage for safe…Responsible data management (2020)Responsible data managementImproving reproducibility of data science pipelines through transparent provenance capture (2020)Improving reproducibility of …Transparency, Fairness, Data Protection, Neutrality (2019)Transparency, Fairness, Data …This Thing Called Fairness (2019)This Thing Called FairnessSharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv (2019)Sharing interoperable workflo…Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering (2019)Provenance Data in the Machin…FAIR Computational Workflows (2019)FAIR Computational WorkflowsData Provenance (2019)Data ProvenanceCapturing and Visualizing Provenance From Data Wrangling (2019)Capturing and Visualizing Pro…The fallacy of inscrutability (2018)The fallacy of inscrutabilityDecision Provenance: Harnessing Data Flow for Accountable Systems (2018)Decision Provenance: Harnessi…Out of the Crisis (1982)Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Information Systems Success: The Quest for the Dependent Variable (1992)Data quality in context (1997)AIMQ: a methodology for information quality assessment (2002)Data quality assessment (2002)Workflow mining: discovering process models from event logs (2004)Scientific workflow management and the Kepler system (2005)Artifact-Centric Business Process Models: Brief Survey of Research Results and Challenges (2008)The Open Provenance Model: An Overview (2008)Tools and techniques for computational reproducibility (2016)Design Patterns: Elements of Reusable Object-Oriented Software (1994)Bioconductor: open software development for computational biology and bioinformatics (2004)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update (2016)Workflow Patterns (2003)Provenance Collection Support in the Kepler Scientific Workflow System (2006)The design and realisation of the Virtual Research Environment for social sharing of workflows (2008)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)Reproducibility in Scientific Computing (2018)A Large-Scale Study About Quality and Reproducibility of Jupyter Notebooks (2019)A survey of trust in computer science and the Semantic Web (2007)SPADE: Support for Provenance Auditing in Distributed Environments (2012)AiiDA: automated interactive infrastructure and database for computational science (2015)The future of scientific workflows (2017)Taverna: a tool for building and running workflows of services (2006)Workflows and e-Science: An overview of workflow system features and capabilities (2008)Ten Simple Rules for Reproducible Computational Research (2013)
this work references cited by second hop

References

  • 1996Beyond Accuracy: What Data Quality Means to Data Consumers4,663 cited
  • 2010Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences3,455 cited
  • 2004Taverna: a tool for the composition and enactment of bioinformatics workflows1,602 cited
  • 2005A survey of data provenance in e-science1,156 cited
  • 2010The Open Provenance Model core specification (v1.1)706 cited
  • 2005Taverna: lessons in creating a workflow environment for the life sciences656 cited
  • 2008Provenance for Computational Tasks: A Survey511 cited
  • 2006VisTrails480 cited
  • 2008Provenance and scientific workflows470 cited

Cited by

  • 2019FAIR Computational Workflows171 cited
  • 2018The fallacy of inscrutability131 cited
  • 2019This Thing Called Fairness111 cited
  • 2018Decision Provenance: Harnessing Data Flow for Accountable Systems110 cited
  • 2019Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv81 cited
  • 2020Responsible data management81 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2021
Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems
77 cited
  • 2019Transparency, Fairness, Data Protection, Neutrality52 cited
  • 2024Recording provenance of workflow runs with RO-Crate47 cited
  • 2019Data Provenance46 cited
  • 2021Workflow provenance in the lifecycle of scientific machine learning46 cited
  • 2021Fine-grained lineage for safer notebook interactions45 cited
  • 2019Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering43 cited
  • 2020Improving reproducibility of data science pipelines through transparent provenance capture43 cited
  • 2022Responsible data management40 cited
  • 2019Capturing and Visualizing Provenance From Data Wrangling34 cited