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Data Explorer

Filter, search, sort and compare the Digital Rights Scorecard across 194 countries using the published research snapshot.

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Reading the table

Each indicator column (AI, DP, ChildData, …) shows the 0–2 score, colour-coded 2 = best / 1 = partial / 0 = worst (see the indicator glossary below). Prot. is the Protection Score (0–20); Risk is the Risk Index (0–100). Doc is data completeness — how many of the 10 indicators carry a documented justification (rows below 10/10 are flagged). Activate a country button to open a country detail panel with each indicator's assessment and sources; activate a column-header button to sort. The "Min score" slider filters on the selected indicator, or on Protection Score when "All" is selected.

Indicator glossary

Column abbreviations refer to the following measures:

  • AI — AI Policy Status
  • DP — Data Protection Law
  • ChildData — Children's Data Safeguards
  • SOGI — SOGI Sensitive Data
  • DPA — DPA Independence
  • DPIA — DPIA for High-Risk AI
  • LGBTQ — LGBTQ+ Legal Status
  • Promo — Anti-LGBT Propaganda Offences
  • COP — Child Online Protection
  • SIM — SIM–Biometric ID Linkage

Compare countries

Add up to five countries to compare their indicator profiles (0–2 on each of ten indicators). Missing values remain gaps. Enable the optional charts when you are ready.

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Data handling details

Charts are off. Use the country table or downloads without them.

Other ways to access the data

Download the scored snapshot used by this explorer below. The pipeline exports and self-hosted API use the separate canonical workbook; see Data Access for the distinction.

Download this snapshot as JSON or CSV

python pipeline_runner.py --mode scorecard --scorecard-action export

Produces data/exports/scorecard_*.csv for use in Excel, Google Sheets, pandas, R, Tableau, or Power BI. See Data Access.

Clone the repo and run the bundled API locally to query the data programmatically:

python run_api.py

The API is provided so anyone can run their own local data polling/extraction using the project's methods. See the API docs.

Open data/scorecard/scorecard_main.xlsx (canonical) for the full data with source URLs, or Global_QueerAI_Child_Scorecard_MASTER.xlsx for the clean scored visualization view.

About this data

This explorer uses the published scorecard snapshot, with source dates and written assessments available in each country panel. See the Design & Methodology for indicator definitions and the 0-1-2 scoring rules.

Assessment provenance

A correction changes a dated assessment; it should identify the indicator, interpretation and authoritative source. Data Governance explains provenance and versioning.