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Data for Citizen Science and Developing Community Data Online

There is so much data out there, but how do we know what data we need to impact our communities for the better? As more individuals work to apply their data skills developed through the academic programs, it is becoming clear that knowing where and how to use data is just as vital within a research project as it is to support community advocacy. 

This workshop will identify how to best collect, ethically use, and manage community based data projects for citizen science use. If you are interested in learning how to best connect data skills to community advocacy, please join us for a hands on session using local data! 

This workshop is a part of CMU Libraries’ Communicating Data and Research Storytelling . For other workshops in the series, please see the links below at CMU Libraries website: 

Data Storytelling | September 4

Data Visualization Best Practices | September 18

Data Visualization in Tableau | October 2

Data Visualization and Tableau Dashboards | October 9

Data Visualization in R | October 23

Introduction to Data Visualization in R Shiny | October 30

Data for Citizen Science on Community Data |  November 13

Date:
Wednesday, November 13, 2024
Time:
9:00am - 10:00am
Time Zone:
Eastern Time - US & Canada (change)
Campus:
Virtual Workshop
Categories:
  Communication & Presentation CC     Information & Data Literacy CC     Working With Data and Code  
Online:
This is a virtual event. A URL to participate will be sent via a reminder email 24 hours before the event.

Registration is required. There are 7 seats available.

Virtual Workshop Information:

  • The link to join this event will be found in your confirmation email and in the reminder email sent 24 hours before the event. 
  • Please join a few minutes early to ensure that your audio setup is working correctly.
  • All events are shown in Pittsburgh time. Visit this time zone converter to see when this event will take place in your time zone.

Workshops and events for Carnegie Mellon University Libraries are open to all, regardless of race, color, national origin, sex, disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status or genetic information. All participants are required to follow the Code of Conduct.

If you require accessibility accommodations, please contact the event organizer.

Organizer(s)

Profile photo of Emma Slayton
Emma Slayton

About & Contact Info

Data Curation, Visualization, and GIS Specialist

eslayton@andrew.cmu.edu