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IEEE DataPort Company Profile

IEEE DataPort is a research data platform designed to make scientific data openly accessible to all and help researchers and institutions share research, manage their data, and collaborate with peers.

Industry: DataAI

Segment: Data Infrastructure

Team size: 501-1000

Tech stack: Astro

Competitors: archive.physionet.org, atlanttic.uvigo.es, Data Availability, Accessibility

Generated by Kustiq, an AI company intelligence platform for B2B teams. Multi-stage pipeline: AI classification + live web scraping + SMTP-verified contacts + 12-factor rule-based churn engine.

Company profile

IEEE DataPort

IEEE DataPort is a research data platform designed to make scientific data openly accessible to all and help researchers and institutions share research, manage their data, and collaborate with peers.
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IEEE DataPort logo

AI-verified profile

IEEE DataPort is a research data platform designed to make scientific data openly accessible to all and help researchers and institutions share research, manage their data, and collaborate with peers.

Employees

501-1000

Tech Stack

Astro

Pricing

Public pricing page

AI Classification

DataAIData Infrastructure

IEEE DataPort is a research data platform operated by the IEEE that hosts 11,000+ scientific datasets for researchers, institutions, and data analysts. It offers open access, individual, and institutional subscription tiers with tools for data storage, DOI assignment, citation tracking, and data management planning.

Deep Intelligence

Account Scoring

Yellow Churn Risk

Tech Stack

Framework

Astro

Social Links

Linkedin

Competitors

archive.physionet.orgatlanttic.uvigo.esData AvailabilityAccessibility

IEEE DataPort is profiled by Kustiq, an AI company intelligence platform for B2B teams. IEEE DataPort is one of 56 data infrastructure companies in our Data & AI directory.

How Kustiq built this profile

Hybrid pipeline: deterministic verification + Claude reasoning

  • Live web rendering via Browserless headless Chrome, not a stale cached scrape.
  • Search intelligence via Serper API across {company site, LinkedIn, press, GitHub}.
  • Claude Sonnet 4.6 classifies vertical, segment, and growth signals; never used for facts.
  • 12-factor churn engine produces a deterministic risk score with zero LLM calls at scoring time.
  • SMTP RCPT TO handshake verifies every contact at delivery time on full profiles (paid plan).

Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.

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