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Source Transparency Watch

Are the organisations behind global digital-rights data adopting primary-source, open-data transparency β€” and when did they do it? This page tracks peer sources (the aggregators behind our scorecard indicators, plus related rights and data-transparency bodies) for four signals:

  • Datasets


    Machine-readable downloads β€” CSV / Excel / JSON, "get the data" exports.

  • Document & legal files


    Links to the actual primary documents β€” per-country law texts, document-link manifests.

  • APIs / endpoints


    Public APIs or machine-readable data endpoints.

  • Structure / portals


    New open-data sections, data portals, and URL/permalink restructures.

Loading transparency watch…

Adoption timeline

By source

How to read this

Each entry is the first archived appearance of a transparency signal on that source's site β€” a reproducible, bot-friendly proxy for "first offered publicly," drawn from the Internet Archive's capture history. A β˜… marks signals that are on-topic for that source (e.g. a data-protection dataset on UNCTAD, rather than an unrelated dashboard).

Caveats β€” read before citing

Web-archive coverage is incomplete, so a first-seen date is an upper bound on adoption: an organisation may have offered something earlier without it being archived, and the absence of a signal is not proof it never existed. Treat these as indicative leads, and verify the underlying page before citing. This watch is regenerated from the live archive β€” see methodology below.

Why this matters

Our project publishes its scorecard data, scoring rules, and sources openly. This watch holds the wider field to the same standard β€” surfacing when peer organisations move from closed summaries toward downloadable data, primary-document access, and open APIs. It also doubles as an early-warning system for our own pipeline: when a source restructures its URLs or relocates its data, that shows up here first.

Methodology

The watch is generated by utils/build_transparency_watch_data.py, which queries the Internet Archive Wayback CDX API for each monitored domain, matches captured URLs against transparency-signal patterns (datasets, document manifests, API paths, open-data sections), filters out analytics/asset noise, and records the earliest archived appearance of each β€” preferring on-topic examples. To refresh it:

python utils/build_transparency_watch_data.py

This writes docs/transparency-watch/data/transparency.json, which this page renders. Add or adjust monitored sources in the SOURCES list at the top of that script.