Jan
26
Posted by Justin de la Cruz on January 26th, 2023
Posted in: events
Tags: AllofUs, events, National Institutes of Health, NIH DMSP
Love Data Week is an international celebration of data, with organizations offering special events relating to data, like classes, workshops, and presentations. ICSPR tracks these events and has a listing here.
This year, NNLM is hosting events around data visualizations, how to host hackathons, and the NIH Data Management and Sharing Policy, among other topics. Here is the full list of offerings we have coming up for Love Data Week 2023 (with links below):
Create Effective Data Visualizations
Data visualization is a key part of communicating information. Learn about common types of visualizations and how to use them to meet the information needs of your audience. This class will give examples of different chart types and will discuss common pitfalls when creating visualizations. Lastly, instructors will use example datasets to demonstrate creating visualizations in Tableau Public.
In this virtual discussion, panelists will share their experience hosting hackathons/codeathons in library spaces — both virtual and in-person. We’ll discuss the challenges of organizing virtual and in-person hackathons, lessons learned and how librarians can get involved with hosting fun and successful hackathons.
Creating Data Management Plans with DMPTool
The DMPTool is a free tool that walks users through creating comprehensive data management plans. This webinar will guide attendees through data management plan basics, creating a DMPTool profile, and exploring available templates and planning resources.
The All of Us Researcher Workbench
This presentation will provide a look at the NNLM All of Us Research Program’s Researcher Workbench, which is a cloud-based platform where registered researchers can access Registered and Controlled Tier data. Its powerful tools support data analysis and collaboration.
NIH Data Management and Sharing Policy Immersion Workshop
This all-day workshop is intended for those without much experience working in research data management and will provide an overview of the NIH policy, research data management basics, and related resources.