UVA Library [Research Data Services][1] (RDS) launched a new workshop series called “[Reproducible Research for Early Graduate Students][2].” The four workshops in the series focused on technical and non-technical tools for reproducible research. The overall concept was to enable researchers to improve data use and re-use for collaborators and themselves, use available technical tools to create reproducible workflows, and more easily communicate and disseminate findings and data. Technical sessions covered version control and R Studio tools; non-technical sessions covered file and metadata organization and data sharing. We launched it as a standalone mini-series within our ongoing data workshop series. We leveraged a relatively varied skillset among library staff to present these sessions. Data, code, and more information is openly available. While graduate students were the most common attendee type, we had a significant number of post-docs and research staff attend our sessions. Feedback collected via follow-up surveys was generally positive prompting us to offer the series again this Fall. We believe our efforts are reproducible at other institutions in a similar way or at a smaller/larger scale and will discuss how. The [presentation for SEDLS2021][3] was created using R Markdown. The slides for the presentation are available in this OSF project, as well as on the [original github repository][4]. Huck, J., Lake, S., & Purpur, E. (2021). Practical Reproducibility Instruction: Teaching Reproducibility with Technical and Non-Technical Tools (Version 1.0) [Computer software]. https://github.com/epurpur/SEDLS_21_presentation. This project includes the slides/notes/files for the four-part workshop series: “**Reproducible Research Practices: Make Your Research Life Easier**.” - [Organize Your Files and Metadata for Transparent and Reproducible Research][5] - [Version Control with GitHub][6] - [Reproducible Analysis Documentation with R Studio and R Markdown][7] - [Sharing Your Data for Transparent and Reproducible Research][8] [1]: http://data.library.virginia.edu [2]: https://data.library.virginia.edu/training/#rep [3]: https://epurpur.github.io/SEDLS_21_presentation/SEDLS_presentation.html [4]: https://github.com/epurpur/SEDLS_21_presentation/ [5]: https://osf.io/572rv/ [6]: https://osf.io/xfk9u/ [7]: https://osf.io/6kd2e/ [8]: https://osf.io/f8p2u/