01_intro | ||
02_workflow | ||
03_data_organisation | ||
04_data_sharing | ||
05_clean_coding | ||
06_wrap_up | ||
figures | ||
literature | ||
README.md |
Overview of dates
Date | Topic |
---|---|
2024-05-13 | Introduction to data management |
2024-05-27 | Workflow |
2024-06-10 | Data organisation |
2024-06-24 | Data sharing |
2024-07-08 | Clean coding |
2024-07-22 | Archiving data at the IWM |
Literature
Kathawalla, U.-K., Silverstein, P., & Syed, M. (2021). Easing into open science: A guide for graduate students and their advisors. Collabra: Psychology, 7(1). https://doi.org/10.1525/collabra.18684
Lowndes, J. S. S., Best, B. D., Scarborough, C., Afflerbach, J. C., Frazier, M. R., O'Hara, C. C., Jiang, N., & Halpern, B. S. (2017). Our path to better science in less time using open data science tools. Nature Ecology & Evolution, 1(6), 1-7. https://doi.org/10.1038/s41559-017-0160
Wicherts, J. M., & Bakker, M. (2012).Publish (your data) or (let the data) perish! Why not publish your data too? Intelligence, 40(2), 73–76. https://doi.org/10.1016/j.intell.2012.01.004
Wilbrandt, J. (2023). Research Data Management Intro Series: Coffee Lectures & Espresso Shots. https://doi.org/10.5281/zenodo.7573695