Classes & Events

Part 2 of this interactive, hands-on session builds on what participants learned in Part 1, and it continues to expand foundational programming skills and practical applications of Python that students can apply in the context of their own work. Learning objectives: 1) automate tasks with loops; 2) perform conditional operations; ...

Your research data is important. In this session, we’ll discuss how to properly store, organize, and document your work to ensure that important data isn’t lost and that you are meeting expectations set by the parties that fund and publish your research. After this session, you’ll have the tools required ...

It’s important to have a plan. Whether you are starting a new research project, onboarding a new research collaborator, or just trying to make sure everyone is on the same page, developing documentation that lays out key roles and responsibilities, procedures, and expectations will help your research proceed more efficiently.   This ...

An important part of NIH grant proposals is the Data Management and Sharing Plan (DMSP) – a short document that describes what data will be acquired by the proposed work and how it’ll be kept, used, and made available to others. For funded grants, the contents of this plan become ...

Your research data is important. In this session, we’ll discuss how to properly store, organize, and document your work to ensure that important data isn’t lost and that you are meeting expectations set by the parties that fund and publish your research. After this session, you’ll have the tools required ...

In this workshop, we’ll cover how to keep track of your research process. From ensuring you are following the right steps by maintaining good protocols and standard operating procedures to describing what happened on the day with lab notebooks, keeping good records is integral to ensuring your research process proceeds ...