GivingTuesday Data Commons (GTDC), India
Social Impact, Philanthropy, Data Commons
Research and Innovation
The GivingTuesday Data Commons (GTDC) is a global collective of hundreds of organizations dedicated to generating insights and knowledge that strengthen the social sector through evidence-based approaches.
In India, 13 organisations have come together to implement Using Data & Research to Advance Everyday Giving in India (UDARTA:EG), a collaborative research study focused on understanding everyday giving (EG). The goal of the study is to provide nonprofit practitioners with actionable, data-driven insights to inform and enhance their work, and improve their everyday giving engagement strategies.
Features and integrations
Image is representative
Quant & Qual Data Collection
Flexible survey templates tailored to researchers' specific needs for gathering structured qualitative data to drive insights
Tagging and Annotation
Manual tagging, coding and annotation capabilities for deep analysis of qualitative data
Discovery Tools
Configured dashboards and views for both qualitative and quantitative data to aid analysis and course correction
User Roles and Access Controls
Segregated access for participants, researchers, and core team members with distinct permissions for data entry, tagging, and moderation
Translation and Language Support
Platform templates and UI available in multiple Indian languages, with Google Translate integration for real-time translation of content
Data Export in CSV
Export raw data to enable external analysis using GTDC's global data analysis platform

OKF is enabling a comprehensive, digital-first approach to data collection, organization, and analysis, tailored to the needs of the UDARTA:EG study. By supporting both quantitative and qualitative data collection, the platform allows us to efficiently gather diverse forms of data—surveys, self-submitted forms, and researcher-led qualitative inputs—while maintaining access controls for participants and researchers. Ultimately, OKF addresses the need for a robust, scalable solution that can integrate diverse data sources, support iterative refinement, and export raw data for advanced analysis.

Ragini Menon, India Data Partnerships Consultant
Platform Intervention
Unified Environment for Mixed Method Data
Custom templates designed to support collection of both quantitative and qualitative data in a unified environment
Collaboration Across Research Stakeholders
Roles based access allows for a number of research teams to collaborate remotely on the project
Self-reporting Survey Forms
Rules based access allows securely collecting data from survey participants directly into the platform while ensuring data privacy
Integrated Translation Capabilities
Translated forms support higher quality data collection from multi-lingual research participants, while allowing researchers to analyse data in English
Adaptive Systems for Qualitative Analysis
Configured tag categories and coding mechanisms allow research teams to use their existing processes of data analysis