Enhancing Data Usability Through Thematic Tagging in Results Analysis

Improve the searchability and usability of results data by implementing thematic tagging. Explore a method to visualize and analyze results data in IATI, with a focus on cross-portfolio research and standardization. Learn about a pilot project using baseline data in Nepal and Cambodia, along with a methodology for consolidating indicators and mapping them into thematic areas. Discover the benefits of thematic tagging, including easier identification of relevant indicators, insights from evaluation reports, and improved data coordination across organizations.

• Thematic Tagging
• Results Analysis
• Data Usability
• IATI
• Data Visualization

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1. Results Theme Tagging A method for making results data more searchable and usable

2. The Challenge How can we use and visualize results data in IATI? While results data across organizations often can t be aggregated together, it can still be useful to identify and review results of organizations tracking similar indicators.

3. Pilot for mSTAR Pilot using Feed the Future baseline data in Nepal and Cambodia. 5 databases Goals: Identify areas for cross-portfolio research. Identify areas for possible standardization. 1100+ Nepal Indicators

4. Methodology Used 1. Consolidate indicators into a single file. 2. Map each indicator into specific themes, and sub- themes. a. Sub-themes were determined organically depending on prevalent indicator topics. b. Sub-themes were then grouped into larger thematic areas. Theme must be distinct enough to not fit as a sub-theme to any other theme.

5. Theme and Sub-Theme Mapping

6. Search by Theme & Sub-Theme

7. What Agriculture Trainings Have People Participated In?

8. Similar Approach for RDI 1. Results data scraped for Agriculture and Health in Tanzania, Sri Lanka, and Ghana. 1. Categorized into four levels.

9. How many water systems has WB constructed in Ghana? Able to explore various organizations efforts and results in an interactive visualization. Found at - rdi.developmentgateway.org

10. Uses of Thematic Tagging Easier to identify indicators of interest across portfolios & organizations. Identify projects where results and lessons learned could provide further insight through the evaluation report or contacting the organization. Identify data for cross-portfolio research. Identify the data collected by other organizations to identify and avoid overlap, and improve coordination.

11. Potential Future Applications Apply methodology to IATI results data. Algorithms and tools such as Machine Learning could speed up process for mapping data to themes on a large scale. Create tools that allow users to interact with, search for, and visualize results data.

12. Stay in touch! Taryn Davis Holland: tdavis@developmentgateway.org