CCIDM Virtual Workshops

Upcoming Workshops:

Enhancing Reproducible Research and Teaching with Quarto

The "reproducibility crisis" in academic research has been widely discussed across multiple disciplines (e.g., Ioannidis, 2005). Studies showed that only a small portion of research (11% - 39%) can be reproduced successfully (Begley and Ellis, 2012; Baker, 2016; Open Science Collaboration, 2015). As a result, there has been a call for better research practices (Munafo et al., 2017).

As part of the response to the call for reproducible research, we invite faculty and students to explore Quarto (), a modern, open-source publishing system designed for reproducible research and dynamic document creation (Allaire et al., 2022).

Quarto enables researchers and educators to seamlessly integrate text, code, and data in a single document, making it easier to generate reports, manuscripts, interactive websites, dashboards, and presentations (Xie, 2022). By using Quarto, faculty can enhance the transparency and reproducibility of their research while streamlining the creation of lecture materials, assignments, and assessments.

Why Attend This Workshop?

Reproducibility in Research: Learn how to create fully reproducible documents that integrate data analysis, visualizations, and narrative seamlessly.

Efficient Teaching Materials: Automate the generation of course content, including slides, reports, and interactive tutorials.

Flexible Output Formats: Convert a single source document into PDFs, Word files, websites, or presentations with ease.

Open-Source and Cross-Language Support: Use Quarto with R, Python, Julia, or Observable JavaScript for diverse academic applications.

Whether you're looking to improve your research workflow or enhance your classroom materials, this workshop will provide hands-on experience with Quarto’s powerful capabilities. Join us to discover how reproducible documents can transform your academic work!

References

Allaire, J., Xie, Y., Dervieux, C., McPherson, J., & Iannone, R. (2022). Quarto: An open-source scientific and technical publishing system. Posit PBC. Retrieved from
Baker, M. (2016). 1,500 scientists lift the lid on reproducibility. Nature, 533(7604), 452–454. .
Begley, C. G., & Ellis, L. M. (2012). Drug development: Raise standards for preclinical cancer research. Nature, 483(7391), 531–533. .
Ioannidis, J. P. A. (2005). Why most published research findings are false. PLoS Medicine, 2(8), e124. .
Munafò, M. R., et al. (2017). A manifesto for reproducible science. Nature Human Behaviour, 1(1), 0021. .
Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349(6251), aac4716. .
Xie, Y. (2022). Dynamic Documents with R and knitr. CRC Press.