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Why do biomedical researchers learn to program? An exploratory investigation
6 references·5 citing·35 second hop
Why do biomedical researchers learn to program? An exploratory investigation (2020)Why do biomedical researchers learn to pr…Reproducibility and Replicability in Science (2019)Reproducibility and Replicabi…Data Science Support at the Academic Library (2019)Data Science Support at the A…Our path to better science in less time using open data science tools (2017)Our path to better science in…Best Practices for Scientific Computing (2014)Best Practices for Scientific…Ten Simple Rules for Reproducible Computational Research (2013)Ten Simple Rules for Reproduc…Applied Thematic Analysis (2012)Applied Thematic AnalysisRecognizing the value of meta-research and making it easier to find (2023)Recognizing the value of meta…Integrating open science education into an undergraduate health professional research program (2023)Integrating open science educ…Piloting a long-term evaluation of library data workshops (2021)Piloting a long-term evaluati…Health sciences librarians’ engagement in open science: a scoping review (2021)Health sciences librarians’ e…Assessing the impact of introductory programming workshops on the computational reproducibility of biomedical workflows (2020)Assessing the impact of intro…Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)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)Reproducibility in Science (2014)Good enough practices in scientific computing. (2017)Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension (2021)Estimating the reproducibility of psychological science (2015)1,500 scientists lift the lid on reproducibility (2016)A manifesto for reproducible science (2017)Open science, reproducibility, and transparency in ecology (2018)Making Open Science Work for Science and Society (2019)Ten simple rules for supporting a temporary online pivot in higher education (2020)Why Most Published Research Findings Are False (2005)Why Most Published Research Findings Are False (2005)Exploring potential roles of academic libraries in undergraduate data science education curriculum development (2021)Rigor and reproducibility instruction in academic medical libraries (2022)Technology education in academic libraries: An analysis of library workshops (2024)How Many Interviews Are Enough? (2005)ENCORE: a practical implementation to improve reproducibility and transparency of computational research (2024)Scoping studies: towards a methodological framework (2005)Using thematic analysis in psychology (2006)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)Three Approaches to Qualitative Content Analysis (2005)Qualitative Research Methods: Collecting Evidence, Crafting Analysis, Communicating Impact (2012)How open science helps researchers succeed (2016)Meta-research: Evaluation and Improvement of Research Methods and Practices (2015)Promoting an open research culture (2015)A systematic approach to searching: an efficient and complete method to develop literature searches (2018)A Large-Scale Study About Quality and Reproducibility of Jupyter Notebooks (2019)Challenges for assessing replicability in preclinical cancer biology (2021)Replicability, Robustness, and Reproducibility in Psychological Science (2021)Prevalence of questionable research practices, research misconduct and their potential explanatory factors: A survey among academic researchers in The Netherlands (2022)Thematic Analysis (2017)Reflecting on reflexive thematic analysis (2019)One size fits all? What counts as quality practice in (reflexive) thematic analysis? (2020)
this work references cited by second hop

References

  • 2012Applied Thematic Analysis7,919 cited
  • 2019Reproducibility and Replicability in Science921 cited
  • 2013Ten Simple Rules for Reproducible Computational Research875 cited
  • 2014Best Practices for Scientific Computing715 cited
  • 2017Our path to better science in less time using open data science tools287 cited
  • 2019Data Science Support at the Academic Library33 cited

Cited by

  • 2021Health sciences librarians’ engagement in open science: a scoping review22 cited
  • 2020Assessing the impact of introductory programming workshops on the computational reproducibility of biomedical workflows12 cited
  • 2023Integrating open science education into an undergraduate health professional research program8 cited
  • 2023Recognizing the value of meta-research and making it easier to find8 cited
  • 2021Piloting a long-term evaluation of library data workshops7 cited

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