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Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks
6 references·0 citing·26 second hop
Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks (2023)Towards Transparent, Reusable, and Custom…Your notebook is not crumby enough, REPLace it. (2020)Your notebook is not crumby e…What's Wrong with Computational Notebooks? Pain Points, Needs, and Design Opportunities (2020)What's Wrong with Computation…mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks (2020)mage: Fluid Moves Between Cod…Trust in Data Science (2018)Trust in Data ScienceJupyter Notebooks – a publishing format for reproducible computational workflows (2016)Jupyter Notebooks – a publish…An occupational information system for the 21st century: The development of O*NET. (1999)An occupational information s…Statistical principles in experimental design. (1962)The Structure of Scientific Revolutions (1963)Firm resources and sustained competitive advantage (2004)SELECTING INDIVIDUALS IN TEAM SETTINGS: THE IMPORTANCE OF SOCIAL SKILLS, PERSONALITY CHARACTERISTICS, AND TEAMWORK KNOWLEDGE (2005)The leadership skills strataplex: Leadership skill requirements across organizational levels (2007)Putting Tasks to the Test: Human Capital, Job Tasks, and Wages (2013)Selection Bias in Web Surveys (2010)Best Practices for Scientific Computing (2014)The Design Space of Computational Notebooks: An Analysis of 60 Systems in Academia and Industry (2020)Fine-grained lineage for safer notebook interactions (2021)The Coding Manual for Qualitative Researchers (2022)Computational reproducibility of Jupyter notebooks from biomedical publications (2024)Provenance and scientific workflows (2008)Data fusion (2009)Data Cleaning (2016)Federated Data Science to Break Down Silos [Vision] (2022)Studies in Ethnomethodology. (1968)The Discovery of Grounded Theory; Strategies for Qualitative Research (1968)Why Most Published Research Findings Are False (2005)How to Evaluate Trust in AI-Assisted Decision Making? A Survey of Empirical Methodologies (2021)Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support (2022)AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)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)Pagebreaks: Multi-Cell Scopes in Computational Notebooks (2025)
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References

  • 2016Jupyter Notebooks – a publishing format for reproducible computational workflows3,069 cited
  • 1999An occupational information system for the 21st century: The development of O*NET.430 cited
  • 2018Trust in Data Science222 cited
  • 2020What's Wrong with Computational Notebooks? Pain Points, Needs, and Design Opportunities161 cited
  • 2020mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks71 cited
  • 2020Your notebook is not crumby enough, REPLace it.15 cited

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