Teaching & Mentoring

Clear expectations, training plans, and quality assurance guidelines help all students thrive, and are essential for fostering equity and inclusion. A 2005 Sigma Xi survey found that US postdocs whose professional development was organized and managed were more satisfied and productive (~25%) than those with little oversight. All students should be actively managed and mentored, not just postdocs. Here are some resources to help. They are short and to the point (these things are often overly long, which inhibits their practical use).

Getting Started

• Orientation to get started in the lab.
• Data science setup to install your data science environment.

Core Lab Resources for Students

• Expectation guide to help you understand what we can expect from each other.
• Quality assurance guide (Research) provides advice for developing projects and outlines best practices for collecting, organizing, and analyzing data.
• Individualized training plans and evaluations help you stay organized to meet career goals.

Let’s Share

Feel free to use or adapt these documents for personal use or in your lab. They are under a Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).