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SWEL: A Domain-Specific Language for Modeling Data-Intensive Workflows
16 references·0 citing·34 second hop
SWEL: A Domain-Specific Language for Modeling Data-Intensive Workflows (2023)SWEL: A Domain-Specific Language for Mode…Scientific workflows: Past, present and future (2017)Scientific workflows: Past, p…KNIME for reproducible cross-domain analysis of life science data (2017)KNIME for reproducible cross-…A characterization of workflow management systems for extreme-scale applications (2017)A characterization of workflo…Processes Meet Big Data: Connecting Data Science with Process Science (2015)Processes Meet Big Data: Conn…Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Data-intensive applications, …An Introduction to Design Science (2014)An Introduction to Design Sci…Common motifs in scientific workflows: An empirical analysis (2013)Common motifs in scientific w…Big Data (2013)Big DataAddressing big data issues in Scientific Data Infrastructure (2013)Addressing big data issues in…Scientific Workflows: Business as Usual? (2009)Scientific Workflows: Busines…Workflows and e-Science: An overview of workflow system features and capabilities (2008)Workflows and e-Science: An o…Scientific workflow systems - can one size fit all? (2008)Scientific workflow systems -…Science in an exponential world (2006)Science in an exponential wor…Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)Taverna: a tool for the compo…Kepler: an extensible system for design and execution of scientific workflows (2004)Kepler: an extensible system …Design Science in Information Systems Research1 (2004)Design Science in Information…Big data: The next frontier for innovation, competition, and productivity (2011)Critical analysis of Big Data challenges and analytical methods (2016)A survey on deep learning for big data (2017)Machine Learning With Big Data: Challenges and Approaches (2017)Taverna: a tool for building and running workflows of services (2006)Galaxy: A Web‐Based Genome Analysis Tool for Experimentalists (2010)StreamFlow: Cross-Breeding Cloud With HPC (2020)WfCommons: A framework for enabling scientific workflow research and development (2021)KNIME: The Konstanz Information Miner (2008)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Eleven quick tips for data cleaning and feature engineering (2022)Recent trends of green human resource management: Text mining and network analysis (2022)Sustainable Marketing and the Role of Social Media: An Experimental Study Using Natural Language Processing (NLP) (2023)Information Systems Success: The Quest for the Dependent Variable (1992)The Structure of Scientific Revolutions (1996)The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (2003)The Anatomy of a Design Theory (2007)Bridging the Qualitative–Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems1 (2013)Positioning and Presenting Design Science Research for Maximum Impact1 (2013)Towards Robot Scientists for autonomous scientific discovery (2010)Usage bibliometrics (2010)From social data mining to forecasting socio-economic crises (2011)Big Data: Survey, Technologies, Opportunities, and Challenges (2014)The Challenges of Data Quality and Data Quality Assessment in the Big Data Era (2015)Social media analytics – Challenges in topic discovery, data collection, and data preparation (2017)Geospatial Cyberinfrastructure: Past, present and future (2010)Reproducibility in Scientific Computing (2018)Ten Simple Rules for Reproducible Computational Research (2013)Recommendations for enhancing the usability and understandability of process mining in healthcare (2020)A Gamification Framework for Cognitive Assessment and Cognitive Training: Qualitative Study (2021)Bankruptcy prediction on the base of the unbalanced data using multi-objective selection of classifiers (2021)The TimeStudio Project: An open source scientific workflow system for the behavioral and brain sciences (2015)Tools and techniques for computational reproducibility (2016)The future of scientific workflows (2017)
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References

  • 2004Design Science in Information Systems Research110,671 cited
  • 2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data3,046 cited
  • 2004Taverna: a tool for the composition and enactment of bioinformatics workflows1,602 cited
  • 2008Workflows and e-Science: An overview of workflow system features and capabilities832 cited
  • 2013Addressing big data issues in Scientific Data Infrastructure506 cited
  • 2014An Introduction to Design Science445 cited
  • 2004Kepler: an extensible system for design and execution of scientific workflows429 cited
  • 2006Science in an exponential world240 cited
  • 2017KNIME for reproducible cross-domain analysis of life science data197 cited
  • 2017A characterization of workflow management systems for extreme-scale applications149 cited
  • 2013Big Data131 cited
  • 2017Scientific workflows: Past, present and future131 cited
  • 2008Scientific workflow systems - can one size fit all?112 cited
  • 2009Scientific Workflows: Business as Usual?108 cited
  • 2015Processes Meet Big Data: Connecting Data Science with Process Science97 cited

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2013
Common motifs in scientific workflows: An empirical analysis
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