Media
Reproducibility
Books
- The Turing Way
- Rigor Mortis: How Sloppy Science Creates Worthless Cures, Crushes Hope, and Wastes Billions
- Bad Science
- Bad pharma
- Science Fictions: How Fraud, Bias, Negligence, and Hype Undermine the Search for Truth
- Reproducibility and Replicability in Science
- Doctored: Fraud, Arrogance, and Tragedy in the Quest to Cure Alzheimer’s
For the purposes of giving good feedback when critiquing and being critiqued
Podcasts
Video
Websites & Blogs
Papers other scholarly publications
Organisations
Graphics and Data Visualisation
Training & Workshops
- look out for the scientific figure design & ggplot courses from Babraham Bioinformatics
Books
- Building Science Graphics - I leave my copy of this one in the fishbowl if anyone wants to borrow it
- A Field Guide to Digital Color
- The Grammar of Graphics
- The Visual Display of Quantitative Information
- Data Visualization for Biomedical Scientists: Creating Tables and Graphs That Work by Maarten Boers see also the Accompanying free online course
Podcasts
Video
- Outline of grammar of grphics
- A Grammar of Graphics - Excellent summary of the grammar of graphics layers or ‘functional pipeline’
- Leland Wilkinson - The Grammar of Graphics - Leland himself giving a quick high level summary of the grammar of graphics
- Martin Krzywinski: A pandemic of bad charts
- EMBL Keynote Lecture 2019 - Data visualization and data science, Hadley Wickham
- Practical high level intros to Tufte’s principles
Organisations
Websites & Blogs
- A Comprehensive Guide to the Grammar of Graphics for Effective Visualization of Multi-dimensional Data - a shorter more accessible introduction to the grammar of graphics than Leland’s book or Hadley’s paper
Papers other scholarly publications
References
Braga, Pedro Henrique Pereira, Katherine Hébert, Emma J. Hudgins, Eric R. Scott, Brandon P. M. Edwards, Luna L. Sánchez Reyes, Matthew J. Grainger, et al. 2023. “Not Just for Programmers: How GitHub Can Accelerate Collaborative and Reproducible Research in Ecology and Evolution.” Methods in Ecology and Evolution 14 (6): 1364–80. https://doi.org/10.1111/2041-210x.14108.
European Commission. Directorate General for Research and Innovation., and PwC EU Services. 2018. Cost-benefit analysis for FAIR research data: cost of not having FAIR research data. LU: Publications Office. https://doi.org/10.2777/02999.
Garijo, Daniel, Sarah Kinnings, Li Xie, Lei Xie, Yinliang Zhang, Philip E. Bourne, and Yolanda Gil. 2013. “Quantifying Reproducibility in Computational Biology: The Case of the Tuberculosis Drugome.” Edited by Christos A. Ouzounis. PLoS ONE 8 (11): e80278. https://doi.org/10.1371/journal.pone.0080278.
Hinsen, Konrad. 2018. “Verifiability in Computer-Aided Research: The Role of Digital Scientific Notations at the Human-Computer Interface.” PeerJ Computer Science 4 (July): e158. https://doi.org/10.7717/peerj-cs.158.
Markowetz, Florian. 2015. “Five Selfish Reasons to Work Reproducibly.” Genome Biology 16 (1). https://doi.org/10.1186/s13059-015-0850-7.
Trisovic, Ana, Matthew K. Lau, Thomas Pasquier, and Mercè Crosas. 2022. “A Large-Scale Study on Research Code Quality and Execution.” Scientific Data 9 (1). https://doi.org/10.1038/s41597-022-01143-6.
Wickham, Hadley. 2010. “A Layered Grammar of Graphics.” Journal of Computational and Graphical Statistics 19 (1): 3–28. https://doi.org/10.1198/jcgs.2009.07098.