group of flowers

lilies photo by A. LaVertu, 2022

Spring term may be almost over – but – there’s still more opportunities to learn with our late spring workshops!   Even better, eligible attendees can receive credit (1 hr) in partial fulfillment of Responsible Conduct of Research (RCR) training requirements for participating in these workshops!

To be eligible for RCR credit, during the workshop you must: display your full name (first and last), have your camera turned on, and attend at least 50 minutes of the workshop.  All workshops are on Zoom.



Python for Data Visualization

Wednesday, May 3, 2023
2:00pm – 3:00pm
RCR subject area: (G) Data acquisition and analysis

Python is a powerful, open-source and popular programming language with a wide variety of applications. In this workshop, we’ll cover everything you need to know in order to create graphs – no previous experience required!


A Dynamic Duo: Rayyan and Zotero for Research Collaboration

Wednesday, May 10, 2023

2:00pm – 3:00pm

RCR subject area: (E) Collaborative Research. 

Responsible collaborative research rests on the ability of collaborators to share information as openly and transparently as possible.  Therefore, access to tools that facilitate the sharing of information freely across institutions is of critical importance!

In this workshop, we will focus on two excellent, widely available tools for collaboration on literature review projects, Rayyan and Zotero.

Rayyan is a tool that assists in managing the screening and review process for systematic and scoping reviews. Zotero is a citation manager that helps you to collect, organize, and cite references. This workshop will feature the collaborative components of these two tools.

When paired together for collaboration literature review projects, Rayyan and Zotero are a *collaborative* match made in heaven!


Essentials of Data Management with NIH Data Sharing Policy Update

Wednesday, May 17, 2023

2:00pm – 3:00pm
RCR subject area: (H) Secure and ethical data use; data confidentiality, management, sharing, and ownership

Managing your data before you begin your research and throughout its life cycle is essential to ensure its current usability and long-run preservation and access. In this workshop, we will review best practices for naming, organizing, storing, depositing your research data, and creating a Data Management Plan.

We will also review the recent NIH updates to their Data Management and Sharing Policy.  NIH’s updated Data Management and Sharing Policy affects both applicants and recipients of NIH grants. We will review the changes to the NIH policy, why data sharing is important, and data management strategies that will help you stay compliant throughout the lifecycle of your research project.





Comments are closed.

Set your Twitter account name in your settings to use the TwitterBar Section.