A few things I'd love input on from this community:
What data points matter most to you when evaluating a charity? Right now GiveRadar shows registration status, financial filings, and cross-references against sanctions lists. But I'm curious what the EA community would actually want to see when looking up an organization. Program spend ratios? Staff size relative to budget? Something else entirely?
Also, if anyone has experience with charity data in countries I haven't covered yet, I'd love to hear about it. Especially interested in leads for Sub-Saharan Africa and Southeast Asia where registry data is hardest to find.
And for those who work with IATI, Open Sanctions, or similar open data sources, I'm curious if you've found ways to link organization identifiers across datasets reliably. Deduplication across 25+ country registries has been one of the trickiest technical challenges so far.
Happy to share more about the methodology, data sources, or architecture if anyone is interested.
Thank you for telling me! Just updated the URL: https://giveradar.com/research/charity-register-transparency-index-2026/
A few things I'd love input on from this community:
What data points matter most to you when evaluating a charity? Right now GiveRadar shows registration status, financial filings, and cross-references against sanctions lists. But I'm curious what the EA community would actually want to see when looking up an organization. Program spend ratios? Staff size relative to budget? Something else entirely?
Also, if anyone has experience with charity data in countries I haven't covered yet, I'd love to hear about it. Especially interested in leads for Sub-Saharan Africa and Southeast Asia where registry data is hardest to find.
And for those who work with IATI, Open Sanctions, or similar open data sources, I'm curious if you've found ways to link organization identifiers across datasets reliably. Deduplication across 25+ country registries has been one of the trickiest technical challenges so far.
Happy to share more about the methodology, data sources, or architecture if anyone is interested.