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Implementations of fine-grained automated data provenance to support transparent environmental modelling
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Implementations of fine-grained automated data provenance to support transparent environmental modelling (2019)Implementations of fine-grained automated…Environmental Data Science (2018)Environmental Data ScienceComputing environments for reproducibility: Capturing the “Whole Tale” (2018)Computing environments for re…Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities (2017)Scientific workflows for comp…Scientific Workflows (2016)Scientific Workflows8th USENIX Workshop on the Theory and Practice of Provenance (TaPP '16) (2016)8th USENIX Workshop on the Th…The Disaster-Knowledge Matrix – Reframing and evaluating the knowledge challenges in disaster risk reduction (2015)The Disaster-Knowledge Matrix…ProvStore: A Public Provenance Repository (2015)ProvStore: A Public Provenanc…PROV-O-Viz - Understanding the Role of Activities in Provenance (2015)PROV-O-Viz - Understanding th…Promoting an open research culture (2015)Promoting an open research cu…Reproducibility (2014)ReproducibilityAutomated Capture of Experiment Context for Easier Reproducibility in Computational Research (2012)Automated Capture of Experime…Who does what (2011)Who does whatLinking multiple workflow provenance traces for interoperable collaborative science (2010)Linking multiple workflow pro…Special Issue: The First Provenance Challenge (2007)Special Issue: The First Prov…Ten iterative steps in development and evaluation of environmental models (2006)Ten iterative steps in develo…Design of a Lineage-Based Meta-Data Base for GIS (1991)Design of a Lineage-Based Met…Groups: Interaction and Performance. (1984)Accelerating Adaptive Processes: Product Innovation in the Global Computer Industry (1995)Internet encyclopaedias go head to head (2005)Capabilities: Structure, Agency, and Evolution (2012)Coparenting Among Lesbian, Gay, and Heterosexual Couples: Associations With Adopted Children's Outcomes (2013)The System of National Accounts 2008 (2019)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support (2003)An effective screening design for sensitivity analysis of large models (2007)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Galaxy: A platform for interactive large-scale genome analysis (2005)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Snakemake—a scalable bioinformatics workflow engine (2012)Scientific workflows: Past, present and future (2017)PhenoMeNal: processing and analysis of metabolomics data in the cloud (2018)FAIR Computational Workflows (2019)Scientific workflow management and the Kepler system (2005)Reproducibility and replicability: opportunities and challenges for geospatial research (2020)Ten simple rules for writing Dockerfiles for reproducible data science (2020)Traceability for Trustworthy AI: A Review of Models and Tools (2021)Competing on analytics: the new science of winning (2007)Competing on Analytics: The New Science of Winning (2007)Big data: The next frontier for innovation, competition, and productivity (2011)Eight grand challenges in socio-environmental systems modeling (2019)Argument-based assessment of predictive uncertainty of data-driven environmental models (2020)Four challenges when conducting bibliometric reviews and how to deal with them (2021)The Tacit Dimension (1997)Working knowledge: how organizations manage what they know (1998)Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (2012)Linking knowledge management to tourism business of SMEs in aftermath of disaster: Implications for open innovation (2023)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)Estimating the reproducibility of psychological science (2015)A manifesto for reproducible science (2017)Meta-analysis and the science of research synthesis (2018)A survey of data provenance techniques (2005)The Requirements of Using Provenance in e-Science Experiments (2006)An Approach to Evaluate Data Trustworthiness Based on Data Provenance (2008)Detecting and avoiding likely false‐positive findings – a practical guide (2016)CONSORT-SPI 2018 Explanation and Elaboration: guidance for reporting social and psychological intervention trials (2018)Reporting randomised trials of social and psychological interventions: the CONSORT-SPI 2018 Extension (2018)
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References

  • 2015Promoting an open research culture2,686 cited
  • 2006Ten iterative steps in development and evaluation of environmental models1,114 cited
  • 2014Reproducibility289 cited
  • 2011Who does what204 cited
  • 2017Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities181 cited
  • 2007Special Issue: The First Provenance Challenge133 cited
  • 2018Computing environments for reproducibility: Capturing the “Whole Tale”132 cited
  • 2015The Disaster-Knowledge Matrix – Reframing and evaluating the knowledge challenges in disaster risk reduction132 cited
  • 1991Design of a Lineage-Based Meta-Data Base for GIS115 cited
  • 2018Environmental Data Science113 cited
  • 2016Scientific Workflows106 cited
  • 2012Automated Capture of Experiment Context for Easier Reproducibility in Computational Research105 cited
  • 20168th USENIX Workshop on the Theory and Practice of Provenance (TaPP '16)72 cited
  • 2015PROV-O-Viz - Understanding the Role of Activities in Provenance40 cited
  • 2015ProvStore: A Public Provenance Repository40 cited
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Linking multiple workflow provenance traces for interoperable collaborative science
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