ImpactMojo Dataverse
Curated Tools & Data for Social Impact
Discover 215+ datasets, APIs, tools, platforms, and MCP servers for development economics, policy research, and social impact work.
How to Use These Resources
Dataverse includes datasets, tools, platforms, APIs, MCP servers, reference resources, and AI skills. Here's how each type works and when to use it.
Using APIs
APIs let you fetch live data programmatically. Use them to pull indicators, survey data, or statistics directly into your analysis pipeline.
- Check the API documentation for available endpoints and rate limits
- Register for an API key if required (most are free for research use)
- Make HTTP requests using Python
requests, Rhttr, orcurl - Parse JSON/XML responses and integrate into your workflow
Using MCP Servers
MCP (Model Context Protocol) servers let AI assistants like Claude access live data sources. Connect them to your AI tools for real-time analysis.
- Install the MCP server package via
npmorpip - Add the server config to your Claude Desktop or IDE MCP settings
- Ask your AI assistant to query the data source naturally in conversation
- The AI fetches live data and provides analysis without manual API calls
Using Datasets
Downloadable datasets provide bulk data for offline analysis. Ideal for research papers, baselines, and large-scale studies.
- Download the dataset in CSV, Excel, or other available formats
- Review the codebook or data dictionary for variable definitions
- Load into Stata, R, Python (pandas), or Excel for analysis
- Cite the source using the provided reference in your publications
Using Tools
Tools are software you can use in your browser to work with data — create charts, build surveys, clean datasets, or convert file formats. No installation needed for most.
- Click the tool link to open it in your browser
- Upload your data or paste it directly into the tool
- Follow the tool's interface to transform, visualize, or export your data
- Download results as images, PDFs, or data files for your reports
Using Platforms
Platforms are websites where you can search, explore, and download data or resources. Think of them as online libraries — browse what's available and take what you need.
- Visit the platform and explore the catalog or search for your topic
- Create a free account if required (most development data platforms are free for researchers)
- Filter by country, year, indicator, or theme to find relevant data
- Download datasets, reports, or visualizations for your analysis
Using Resources
Resources are reference materials — methodological guides, frameworks, taxonomies, and curated collections. They help you understand how to work with data and evidence, not the data itself.
- Browse resources by category to find relevant guides or frameworks
- Read methodology guides before starting a new research project or evaluation
- Use taxonomies and frameworks to structure your analysis or programme design
- Bookmark resources you'll return to — they're reference material, not one-time reads
Using Claude Skills
Skills are pre-built commands for the Claude AI assistant that perform specific research tasks. Type a slash command like /analyze-program and Claude walks you through a structured analysis workflow.
- Open Claude (claude.ai or Claude Desktop) and start a conversation
- Type the skill command shown in the resource listing (e.g.,
/literature-review) - Follow the guided prompts — the skill structures your task step-by-step
- Review and refine the output for your specific context and needs
