GIT Community Data Works

The grant supported and amplified community engagement between DataWorks and local community-based organizations. More specifically, the grant provided funding that enabled community-based organizations to work with DataWorks free of charge, and by doing so, increase their capacities to use data and to do so in responsible ways. We accomplished our objectives of working with multiple community-based organizations to facilitate and amplify their use of data, and through that, create processes for responsible data use. In doing so, we realized that the processes were more beneficial and impactful for the data workers than the community-based organizations. This is a change from our proposal, which focused on creating tools for community-based organizations. This change arose in response to the working conditions for the community-based organizations we partnered with. They relied upon volunteers whose availability and commitment understandably fluctuated, and their data practices and capacities varied widely, even within an organization. Introducing standards and procedures into their already hectic workflow would have been unsuccessful and unreasonable. However, preparing and enabling the data workers to lead in responsible data use and proactively shape the relationship with the community-based organizations as clients requesting data work was successful and fair. In doing so, the workers' data literacy and leadership capacities increased, and collectively, we modeled a data work environment that heightens the status of the workers by developing and acknowledging their broad expertise.
Date:
2023-07-01
Primary Material Type:
Syllabus
Other Material Types:
Collection, Data sets, Lab Curriculum, Report
Institution:
Georgia Tech (Georgia Institute of Technology)
Funding Source:
Network Challenge Grant TAACCCT Round 3
Subjects:
Curriculum, Data & Algorithms, Data, Experiential Learning, Internship, Career and Workforce, digital competency, Digital privacy & Security, Data Literacy, Internship, Community Technology, Technology Community, Equity, Access & Digital Divide, Community-Led

Industry / Occupation

Industry Sector:
Public Interest Technology -- Data -- Algorithms
Occupation:
Computer and Mathematical Occupations (15-0000)

Education / Instructional Information

Instructional Program:
Social Sciences (45)
Credit Type:
  • Credit
Credential Type:
  • Associate Degree
  • Bachelors Degree
Educational Level of Materials:
  • 2nd Year Community College or equivalent
  • Upper division of Bachelors degree or equivalent
Time Required:
academic year
Language:
English (United States)
Quality of Subject Matter was assured by:
  • Participation as an ongoing member of team developing the instructional materials
Quality of Online/Hybrid Course Design assured by:
  • None
Course Note:
DataWorks Program

Copyright / Licensing

Primary License:
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.