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In GSoC 2026

Data for the Common Good

Data for the Common Good is dedicated to building communities, platforms, and ecosystems that maximize the potential of data to drive discovery and improve human health. Headquartered in the Department of Pediatrics at the University of Chicago, our team of experts works with collaborators all over the world to connect and share useful, high-quality data between institutions, groups, and countries to increase opportunities for discovery.

Contributors in 2026

5

+1 from 2025

Projects since 2016

13

4.3 a cycle on average

Cycles

3 of 11

3-cycle streak

Rank in 2026

#60

of 183, 0.4% of slots

Mentors

4

for 4 projects in 2025

Contributors per cycle

Accepted projects each year, against the median organization that year

  1. 5
View as table
Data for the Common Good contributors per cycle
Data for the Common GoodMedian organization
201604
201704
201803
201904
202004
202104
202203
202304
202444
202545
202654

Quick answers

Is Data for the Common Good in GSoC 2026?
Yes, with 5 contributors.
How long has it taken part?
3 of 11 cycles since 2016, first in 2024, with a 3-cycle streak running.
How many contributors does it usually take?
4.3 a cycle on average, 13 in total. Its largest cycle was 2026, with 5.
What does it build with?
Python, JavaScript, Kubernetes, Reactjs, Terraform.

Accepted projects

5 projects in 2026 · All 13 projects since 2016

  1. Data Density Heatmap Application

    devSuryansh

    This project proposes a configuration-driven web application that visualizes data completeness across GraphQL datasets using an interactive heatmap....

  2. Enhance GEARBOx trial matching page

    Manjula

    GEARBOx is a clinical decision-support tool that helps clinicians match patients to open clinical trials but its current interface forces users to...

  3. Enhancing a FHIR Resource Tabular Viewer for Efficient Data Exploration

    O-Abdelaziz

    FHIR resources are powerful but difficult to explore in practice because their data is deeply nested, inconsistent across resource types, and hard to...

  4. Building a Multi-Provider SMART on FHIR Backend for Patient Health Record Access

    Philip Narteh

    D4CG's SMART on FHIR application gives patients autonomy over their Electronic Health Records, enabling them to share records with researchers. The...

  5. Enhancing a Chatbot for Generating GraphQL and Custom Queries for Cohort Descriptions

    YujingDong

    This project enhances an existing LLM-powered chatbot for cohort discovery in the PCDC platform, enabling users to describe patient cohorts in...

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Data: Google Summer of Code public archive. Contributor counts are accepted projects.