#DataSpaces
Live, measured metrics for the hashtag #DataSpaces from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #dataspaces
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 2026-09-26 15:39 UTC0 uses by 0 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 2026-09-26 15:39 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-26 15:39 UTCEverything below is measured over the latest 40 public posts (spanning ~16194 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (35) · German (3) · Dutch (2)
Avg boosts / post: 0.9
Top of the latest posts
I just updated my CV at: https://blog.riemann.cc/resume/ This January I started my new job at the @EUCommission #DGCNECT in the unit E.2 'Cloud and Software' to support the #Simpl programme that provides open source infrastructure for #data
Alex Bourlier is a Co-Founder at Startin'blox, a 🇫🇷 app builder for #DataSpaces. Together with his team, he applied for the #NGISargasso Open Call 2, to luckily be selected as an #NGISargassoInnovator with their project "RSFA: Rosetta Sto
Swiss Data Space community: The Swiss Data Space Forum invites experts across domains to help shape the future of trusted #DataSharing in Switzerland. With geodata emerging as the backbone for interoperable and trustworthy #DataSpaces, this
What “dataspaces” means
WikipediaA dataspace is an abstraction in data management that aims to overcome some of the problems encountered in a data integration system. A dataspace is defined as a set of "participants", or data sources, and the relations between them: for example that dataset A is a duplicate of dataset B. It can contain all data sources of an organization regardless of their format, physical location, or data model. The data space then provides a unified interface to query data regardless of format, sometimes in
“Dataspace” on Wikipedia (CC BY-SA) →#dataspaces across platforms
every network with a public tag surfaceFollow #dataspaces straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/dataspaces