Frequently Asked Questions

DataIntell is a research community platform where students, researchers, academics, and professionals publish their work directly. No institutional gatekeepers. No waiting for journal approval. The community validates through engagement and structured review. AI validates everything. The community elevates the best. Humans certify the exceptional. This is not just a platform. It is a movement to ensure every researcher gets the visibility and credit they deserve.

Yes. The core platform is completely free. You can publish unlimited research and innovations, receive AI validation, engage with the community, and access all collaboration features at no cost. Premium features are available for advanced analytics and showcase certification.

Anyone. Undergraduate students, postgraduate students, academics, independent researchers, and professionals. You do not need to be affiliated with a university, have a PhD, or have published in journals before. DataIntell is designed for the Global South and Global North equally. Your work is valued on its merit, not your institution.

Any research or innovation that addresses a real-world problem. This includes dissertations, thesis work, independent research projects, data science projects, technical innovations, and professional research. We support AI & ML, Fintech, Healthcare, Agriculture, Climate & Environment, Education, Social Science, Energy, Hardware, Software, Biotech and more. If it solves a problem, it belongs on DataIntell.

Yes. Student work is highly valued and central to DataIntell's mission. Many groundbreaking innovations come from student projects. The platform was founded specifically to rescue student work from university archives where it would otherwise remain invisible. Ensure you have any required permission from your institution if applicable.

No. All published research on DataIntell is publicly visible without an account. You only need to register to react, comment, collaborate, use the Check Idea tool, or publish your own work. Registration is free and takes under a minute with Google Sign-In.

Yes. DataIntell supports three import methods: paste a DOI and we fetch the paper automatically via CrossRef and Unpaywall; upload a PDF and DI_AI reads the full text and maps it to the DataIntell framework; or connect your ORCID ID and select from your full publication history. All imports create a pre-filled draft for you to review before publishing.

Every project is scored on four dimensions: Unworkable (existing solutions are inadequate), Unavoidable (the problem affects many people), Urgent (it causes time-sensitive harm), and Underserved (there are gaps in current solutions). Each dimension is scored 0 to 5, giving a maximum of 20 points. Projects scoring 10 or more with at least 2 dimensions scoring 3 or above are considered worthy problems.

Our AI system (DI_AI) reviews your submission against the DataIntell Community Framework, checking problem worthiness, methodology rigour, results transparency, and overall quality. You receive detailed feedback within minutes. It is not a rejection system. It is a quality improvement tool.

Expert reviewers from your domain review your project using a 100-point rubric. Human validation adds credibility beyond AI assessment and is fully transparent. Reviewers are identified and accountable, not anonymous. You can choose AI only, Human only, or both (recommended).

AI validation completes within minutes. Human review typically takes 7 to 14 days, compared to 6 to 12 months for traditional journals. Your work is visible on the platform throughout the review process. Expedited review with a 3-day turnaround is available as a premium service.

You receive detailed rubric-based feedback explaining exactly what needs improvement. You can revise and resubmit. DataIntell is not a rejection platform. It is a quality improvement and community platform. Your work remains visible even during revision.

The Ongoing Research Registry lets you register a research idea or work-in-progress before it is finished. Registration generates a SHA-256 timestamp proving you were working on the topic at that date. It helps you find collaborators early, check whether similar work already exists, and protect your intellectual priority. Public registrations are visible in the Check Idea tool. Pro members can keep registrations private until they are ready to publish.

Every published project receives a SHA-256 cryptographic hash. This is a tamper-evident digital fingerprint of your authorship tied to your name, project title, and publication timestamp. It is your permanent legal proof that you published this research on this date, independently verifiable by anyone with the certificate URL. Supervisors cannot claim credit later.

Projects that pass AI or Human validation receive a Validated Research Certificate. This is a branded PDF with your name, project title, 4Us score, validation status, and a QR code linking to the public verification page. It is designed to be shared on LinkedIn and added to your professional portfolio.

The highest tier on DataIntell. Awarded to projects scoring 85 or above on the 100-point rubric. Showcase Certificates carry the greatest prestige on the platform and are designed for LinkedIn sharing, grant applications, and professional portfolios.

Authors can mark their project as Seeking Collaborators and specify what skills they need. Other researchers and professionals can browse and send collaboration requests with a proposal. If accepted, a private messaging thread opens to coordinate the work. Credit and attribution are tracked throughout.

Researchers can register extensions of existing published work, building on, replicating, or applying previous research to new contexts. Original authors are automatically credited in every extension. This creates research lineage trees showing how knowledge evolves over time. Research does not die on DataIntell. It evolves.

No permission is needed. Extending research is open by design. You register your intent and the original author is notified and credited automatically. This is a core philosophy of DataIntell: open knowledge, transparent attribution, no gatekeepers.

You do. Always. Publishing on DataIntell does not transfer any intellectual property rights. Your research and innovations belong to you. DataIntell provides visibility, validation, and community. Not ownership.

Yes. DataIntell uses industry-standard HTTPS encryption, secure session management, and stores data on Railway cloud infrastructure with PostgreSQL. We never sell your data. See our Privacy Policy for full details.

Yes. You can request account deletion at any time by contacting privacy@dataintell.co.uk. We will remove your personal data within 30 days in compliance with UK GDPR.

Check Idea is a free 4-layer AI similarity detection tool. Enter your research title and problem description and it scans all published DataIntell projects, the Ongoing Research Registry, arXiv, and Semantic Scholar for related work. It returns a similarity verdict (Novel, Overlap, Related, or Duplicate) with dimension-level scores for problem, approach, and context similarity. Registered users also get a full DI_AI Research Intelligence Report including gap analysis, 4Us worthiness assessment, and product potential.

No. DataIntell informs, never blocks. Similar research does not prevent you from publishing. If your approach, geography, methodology, or target population differs from existing work, that is a genuine contribution. Even a Duplicate verdict still gives you the option to publish with a differentiation note, reach out to collaborate, or extend the existing work. The verdict is information to help you make a better decision, not a gatekeeper.

Check Idea is a search tool. You use it to discover what already exists before starting or submitting your research. The Ongoing Research Registry is a staking tool. You use it to register your own work-in-progress and establish your intellectual priority before publishing. They work together: check first to understand the landscape, then register to protect your claim.