For Journalists, Academics & Students · Internet Services Infrastructure
Internet Services & Infrastructure Data for Journalists & Academics: 14 Ranked Sources
Internet services & infrastructure data for journalists and academics leads with measurement projects: M-Lab's open performance archive reaching back to 2009, OONI's censorship measurements since 2012, IANA's root zone delegation record and RIPE's WHOIS registry head these 14 sources.
internet services infrastructure statistics for journalism · cited data sources for academic papers · where do journalists find data stories
API, files, or your warehouse. Daily, weekly, or hourly.
Which internet infrastructure datasets should journalists cite first?
We rank for citability: relevance first - seven of these 14 records hold this persona's maximum relevance rating - then Datadory's quality score inside each band. Mean quality is 8.71 against the 7.81 average across all 1,744 datasets Datadory catalogs, and 13 of the 14 score 8 or higher.
The wider inventory sits in our internet-services-infrastructure data hub.
Where can you measure internet censorship and network performance?
Three measurement projects carry the censorship-and-performance beat. M-Lab Open Internet Performance Data holds this slice's joint-highest quality score of 10 and reaches back to 2009, so a net-neutrality claim can be checked against sixteen years of measurements, Google Cloud Storage archives and PCAP.
APNIC Labs Measurements & Dashboards completes the trio with connectivity series collected daily since 2013, published as JSON and HTML dashboards.
What are the authoritative records for DNS and domain names?
The Domain Name Industry Brief & DNIB Data supplies the quarterly registrar-level series, with the archive online back to Q1 2010 as PDF, Tableau dashboards and HTML - its quality score of 7 is the only sub-8 rating in this slice.
How do you map routing and interconnection topology?
Topology mapping is PeeringDB's job. RIPEstat Data API verifies routing history and registration facts in real time within non-commercial terms, and the Hurricane Electric BGP Toolkit cross-checks ASNs, prefixes and RPKI/ASPA adoption from daily HTML pages.
Straight answers
Where do internet infrastructure statistics for journalism come from?
Performance numbers come from M-Lab's archive reaching back to 2009, censorship evidence from OONI Explorer's dataset continuous since 2012, and connectivity trends from APNIC Labs' daily series since 2013. All three publish machine-readable access - BigQuery tables, a JSON API and JSON feeds respectively.
Which internet infrastructure data sources can be cited in an academic paper?
Prefer publishers that state provenance: M-Lab specifies a requested citation format, PeeringDB grants reuse under its Acceptable Use Policy, RIPEstat works within non-commercial terms, and the DNIB quarterly series is archived back to Q1 2010. The RIPE Database adds registration timestamps reaching the early 1990s.
Where do journalists find data stories about internet infrastructure?
Start with verifiable primitives: OONI Explorer tests censorship continuously since 2012, Shodan identifies which organizations' systems are exposed, and Spamhaus DROP lists hostile netblocks with citable SBL record ids. Hurricane Electric's BGP Toolkit then confirms ASNs, prefixes and RPKI/ASPA adoption before publication.
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