#dataquality
Live, measured metrics for the hashtag #dataquality from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #dataquality
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 21:52 UTC2 uses by 2 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 21:52 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 21:52 UTCEverything below is measured over the latest 40 public posts (spanning ~3029 hours).
Posting hours (UTC) — busiest: 13:00
Languages: English (37) · German (2) · French (1)
Avg boosts / post: 1.1
Top of the latest posts
LintedData is a linter for RDF and Ontologies for easy use in CI pipelines, we recently released. It checks for common violations of best practices in ontology engineering. GitLab: https://gitlab.com/dlr-dw/linteddata/ Docker: https://hub.d
@RejoinEU I have worked in data quality for many years. Much of what needs to be done is 'grunt work' - technology cannot assess the accuracy of data etc. Plus transactional data happened at a point in time - unless there is an independent
This week we were discussing the main challenges of Machine Learning in the #KDAI2026 lecture. It should be very obvious that "bad data quality leads to bad results" :) However, we were also talking about insufficient number of data, non-re
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/dataquality