About

An academic marketplace for raw data

RDL Hub lets researchers publish raw data securely with DOI and the right license, and protect the revenue they earn — with local payments built in.

Our mission

To raise the visibility and citability of academic data while making fair monetization possible for its producers.

Our vision

An academic future where raw data is just as citable, licensable and reproducible as a published paper.

Our story

The founding question for Hub was: “Why is a researcher's 50 GB of raw data still treated as a footnote in a paper instead of a first-class asset?”

The answer became an infrastructure that assigns a DOI, lets you pick a license, lets you monetize even at a small scale, and stays KVKK-compliant.

Today Hub supports dozens of formats — from CSV to genomics files, from survey results to geospatial data.

Our values

A marketplace, but academic ethics first.

Fairness

Our commission is lower than industry average; the data producer's revenue always comes first.

Transparency

License options, file validation and pricing rules are public.

Security

Every file lives in a private bucket; every download uses a signed URL.

Compliance

Workflows aligned with KVKK, GDPR, applicable tax law and academic ethics boards.

Hub's four pillars

01

Licensing

CC-BY, CC-BY-NC, CC0, MIT, commercial and custom licenses are one click away.

02

Payments

Local-currency (TRY) payments via PayTR, with KVKK-compliant callback verification.

03

Validation

Every uploaded file passes MIME, magic-byte and size checks.

04

Citability

DOI for every dataset; citations tracked through OpenAlex and CrossRef.

The journey

From the first dataset to today.

  1. 2024 Q4

    Hub MVP

    First 10 datasets uploaded — still free.

  2. 2025 Q2

    PayTR integration

    First paid sales went live.

  3. 2025 Q3

    DOI automation

    Automatic DOI per dataset.

  4. 2025 Q4

    150K datasets

    1.2 PB of raw data published.

Our team

Data engineers, academics, payments specialists.

Hub's team combines data engineering, fintech and academic ethics expertise. KVKK and PayTR integrations are maintained by certified specialists.

Publish your data, get cited

Publish your raw data with DOI, share under the right license and get credit for your contribution.