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Towards the Preservation of Scientific Workflows
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Towards the Preservation of Scientific Workflows (2011)Towards the Preservation of Scientific Wo…The role of metadata in reproducible computational research (2021)The role of metadata in repro…Publishing reproducible dynamic kinetic models (2020)Publishing reproducible dynam…Utilizing Provenance in Reusable Research Objects (2018)Utilizing Provenance in Reusa…Provenance Analytics for Workflow-Based Computational Experiments (2018)Provenance Analytics for Work…Integration of “omics” Data and Phenotypic Data Within a Unified Extensible Multimodal Framework (2018)Integration of “omics” Data a…Cloud infrastructure provenance collection and management to reproduce scientific workflows execution (2017)Cloud infrastructure provenan…Applications of provenance in performance prediction and data storage optimisation (2017)Applications of provenance in…Four level provenance support to achieve portable reproducibility of scientific workflows (2015)Four level provenance support…Structuring research methods and data with the research object model: genomics workflows as a case study (2014)Structuring research methods …Ontologies for Describing the Context of Scientific Experiment Processes (2014)Ontologies for Describing the…Accelerating Scientists’ Knowledge Turns (2013)Accelerating Scientists’ Know…Towards a Taxonomy of Provenance in Scientific Workflow Management Systems (2009)Accessible Reproducible Research (2010)Reproducible Research in Computational Science (2011)Characterising reproducibility debt in scientific software: A systematic literature review (2024)Guidelines for the preservation of digital heritage (2003)The dcc curation lifecycle model (2008)Taverna, Reloaded (2010)Enhancing the Reuse of Scientific Experiments for Agricultural Software Ecosystems (2021)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud (2013)Understanding Media: The Extensions of Man (1964)The Increasing Dominance of Teams in Production of Knowledge (2007)On the State and Importance of Reproducible Experimental Research in Parallel Computing (2013)The New Reality of Reproducibility: The Role of Data Work in Scientific Research (2020)A survey of data provenance in e-science (2005)Scientific workflow management and the Kepler system (2005)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)Provenance Collection Support in the Kepler Scientific Workflow System (2006)Implementing Reproducible Research (2014)Enabling Collaborative Numerical Modeling in Earth Sciences using Knowledge Infrastructure (2019)Implementing Computational Reproducibility in the Whole Tale Environment (2019)Comparing containerization-based approaches for reproducible computational modeling of environmental systems (2023)Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)Capturing and Analyzing Provenance from Spark-based Scientific Workflows with SAMbA-RaP (2020)ProvONE+: A Provenance Model for Scientific Workflows (2020)A collaborative semantic-based provenance management platform for reproducibility (2022)Bioconductor: open software development for computational biology and bioinformatics (2004)Why Most Published Research Findings Are False (2005)CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials (2010)Snakemake—a scalable bioinformatics workflow engine (2012)1,500 scientists lift the lid on reproducibility (2016)
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Cited by

  • 2018Provenance Analytics for Workflow-Based Computational Experiments29 cited
  • 2014Structuring research methods and data with the research object model: genomics workflows as a case study25 cited
  • 2018Utilizing Provenance in Reusable Research Objects24 cited
  • 2013Accelerating Scientists’ Knowledge Turns22 cited
  • 2015Four level provenance support to achieve portable reproducibility of scientific workflows19 cited
  • 2021The role of metadata in reproducible computational research18 cited
  • 2017Applications of provenance in performance prediction and data storage optimisation17 cited
  • 2014Ontologies for Describing the Context of Scientific Experiment Processes15 cited
  • 2020Publishing reproducible dynamic kinetic models12 cited
  • 2017Cloud infrastructure provenance collection and management to reproduce scientific workflows execution12 cited
  • 2018Integration of “omics” Data and Phenotypic Data Within a Unified Extensible Multimodal Framework11 cited

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