Build a research dataset from big open data sources. Pick indicators from the World Bank, WHO and Our World in Data, choose your countries and years, and download one merged country-year panel — with a codebook.
Add indicators from one or more sources — DataForge merges them all by country and year.
Switch sources above and search each catalogue. Add the variables you want as columns — they can come from different sources.
Turn the data you can assemble into publishable study ideas — each matched to open Calls for Papers you could target. It uses the variables in your cart (Step 2); add a topic to focus it, or generate from a topic alone.
Select countries (or “All countries”).
Year range.
Layout
1. Pick sources (World Bank, WHO, Our World in Data). 2. Add the variables you want — from any source. 3. Choose countries + a year range. 4. Build — DataForge fetches each indicator and merges them into one country-year panel. 5. Download CSV or Excel (with a codebook), then analyse it in Dr.AIStat or your own software.
Yes. World Bank Open Data and Our World in Data are CC BY 4.0; WHO data is openly available. All are free to use with attribution — always cite the original source.
World Bank (1,400+ World Development Indicators), WHO (Global Health Observatory) and Our World in Data — all merged into the same country-year panel. Eurostat and OECD/IMF are being added next.
Every source is normalised to ISO-3 country code + year, then joined. WHO sex-disaggregated indicators use the both-sexes total. Missing cells are left blank.