Sharing Oncology Data, Advancing Research
Project Data Sphere (projectdatasphere.org) scores 69 out of 100 on Brand Analyzer, placing it in the Developing tier among Healthcare brands, Non-profit brands, Technology brands, in the 19th percentile of 15148 Healthcare brands.
Project Data Sphere is a nonprofit, open-access data sharing platform based in Morrisville, United States, founded in 2014. It provides researchers with free, unrestricted access to de-identified, patient-level oncology clinical trial data, along with SAS Analytics tools, to accelerate cancer research. The platform connects pharmaceutical companies, academic institutions, and data scientists, enabling them to analyze historical trial data without fees or formal research proposals, supporting collaborative and independent cancer research efforts across industry and academia.
| Brand Name | Project Data Sphere |
|---|---|
| Domain | projectdatasphere.org |
| Industry | Healthcare, Non-profit |
| Founded | 2014 |
| Headquarters | Morrisville, United States |
| Main Competitors | Vivli (83/100), YODA Project, ClinicalStudyDataRequest.com (64/100), cBioPortal for Cancer Genomics (67/100), Genomic Data Commons |
Moz Domain Authority 37/100 vs category average 41 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #3,768,504 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Web site created using create-react-app" (Meta description: 5 words. No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Nginx.
Social footprint: verified profiles on X (Twitter), LinkedIn, Facebook, Instagram, YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is Project Data Sphere?", Claude could identify the brand as of October 2026. Project Data Sphere is a free, independent data-sharing platform that allows researchers to access, share, and analyze historical, de-identified clinical trial data, primarily from oncology studies, to accelerate cancer research. It was launched by the CEO Roundtable on Cancer's Best known for Hosting a shared repository of historical cancer clinical trial data for researchers to access and analyze.
When asked "Best brands similar to Project Data Sphere?", Claude would recommend Project Data Sphere as of October 2026. It's a well-known and fairly unique resource in oncology data sharing, so it's worth mentioning if someone asks about platforms for clinical trial data collaboration.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Project Data Sphere's main competitors in Healthcare: Vivli (83/100), ClinicalStudyDataRequest.com (64/100), cBioPortal for Cancer Genomics (67/100).
Sources: Brand Analyzer scan
Project Data Sphere offers an open-access platform containing de-identified, patient-level datasets from oncology clinical trials. It provides free access to these datasets along with integrated SAS Analytics tools, enabling users to analyze the data without additional software or fees. The platform does not require submission of formal research proposals, distinguishing it from more restrictive data-sharing models used elsewhere in clinical research.
Sources: Project Data Sphere official site
Project Data Sphere is a nonprofit, open-access data sharing platform founded in 2014 and based in Morrisville, United States. It provides a repository of de-identified, patient-level data from oncology clinical trials, allowing researchers to freely access and analyze this data to advance cancer research. The platform is designed to bridge industry, academia, and research institutions by removing barriers such as fees and formal proposal requirements that typically limit access to clinical trial data.
Sources: Project Data Sphere official site
Project Data Sphere has limited AI-search visibility, scoring 25/100 on Brand Analyzer's AI visibility composite (visibility 21, trust 19, recommendation 40). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Project Data Sphere official site
Project Data Sphere was founded in 2014. Project Data Sphere operates in the Healthcare category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Project Data Sphere scores 40/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Healthcare options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Project Data Sphere official site
Project Data Sphere is known for being an open-access repository of de-identified oncology clinical trial data, offering researchers free and unrestricted access without requiring fees or research proposals. It is recognized for integrating SAS Analytics tools directly into the platform, enabling data analysis without the need for separate software. The platform serves as a bridge between pharmaceutical companies, academic institutions, and independent researchers in the cancer research field.
Sources: Project Data Sphere official site
Project Data Sphere can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Project Data Sphere official site
Project Data Sphere is used by oncology researchers, academic institutions, pharmaceutical and biotech companies, and data scientists who seek access to cancer clinical trial data. These users leverage the platform's de-identified datasets and analytics tools to conduct secondary research, validate findings, or explore new hypotheses using existing clinical trial data rather than collecting new data independently.
Sources: Project Data Sphere official site
Project Data Sphere scores 25/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Project Data Sphere has a weak AI-visibility profile at 25/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (40/100) and its weakest is trust (19/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #3,768,504 (Tranco) and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, a low Moz Domain Authority of 37/100 and thin schema.org structured data. In a live check, Claude could already identify Project Data Sphere from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Project Data Sphere: Pro CPR (69/100), PRIA Healthcare (69/100), Prolaio (69/100), ProSomnus (69/100).
A step up - brands to learn from: Zentralwohlfahrtsstelle der Juden in Deutschland e.V. (71/100), ZT Corporate (71/100).
Category leader: Booksy (96/100).
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