GivingTuesday Data Commons (GTDC), India

Social Impact, Philanthropy, Data Commons

Research and Innovation

3

3

Language Integrations

Language Integrations

3

Language Integrations

3

Participant touchpoints

3

Participant touchpoints

3

Participant touchpoints

100-300

Survey responses

100-300

Survey responses

100-300

Survey responses

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.

GTDC is working with the Open Knowledge Framework (OKF) establish a data collection and analysis platform for the project. The developed platform will support structured and scalable data collection using qualitative and quantitative methods, enabling research into giving behaviours and patterns in India. The platform is especially important as the study will be carried out by a consortium of partners.

GTDC is working with the Open Knowledge Framework (OKF) establish a data collection and analysis platform for the project. The developed platform will support structured and scalable data collection using qualitative and quantitative methods, enabling research into giving behaviours and patterns in India. The platform is especially important as the study will be carried out by a consortium of partners.

GTDC is working with the Open Knowledge Framework (OKF) establish a data collection and analysis platform for the project. The developed platform will support structured and scalable data collection using qualitative and quantitative methods, enabling research into giving behaviours and patterns in India. The platform is especially important as the study will be carried out by a consortium of partners.

Features and integrations

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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

Current Status

Current Status

Current Status

Completed initial pilot. The platform is being prepared to go live for data collection, with analysis dashboards set to launch concurrently.

Completed initial pilot. The platform is being prepared to go live for data collection, with analysis dashboards set to launch concurrently.

Completed initial pilot. The platform is being prepared to go live for data collection, with analysis dashboards set to launch concurrently.

Open Knowledge Framework

OKF empowers teams to seamlessly extract insights from qualitative data, transforming complexity into clarity without the need for specialized expertise. We are a one-stop solution for collecting, organizing and analyzing Qualitative Data

© 2024 Ooloi Labs. All rights reserved

Contact

Open Knowledge Framework

OKF empowers teams to seamlessly extract insights from qualitative data, transforming complexity into clarity without the need for specialized expertise. We are a one-stop solution for collecting, organizing and analyzing Qualitative Data

© 2024 Ooloi Labs. All rights reserved

Contact

Open Knowledge Framework

OKF empowers teams to seamlessly extract insights from qualitative data, transforming complexity into clarity without the need for specialized expertise. We are a one-stop solution for collecting, organizing and analyzing Qualitative Data

© 2024 Ooloi Labs. All rights reserved

Contact