How to Run Your First Data Collection Project on DataW
A step-by-step walkthrough for requesters—from scoping tasks and setting budgets to reviewing submissions and releasing payout.

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Guides for requesters and collectors, product updates, and perspectives on ethical data collection for AI and research.
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Start here if you're new to DataW or planning your first collection program.
A step-by-step walkthrough for requesters—from scoping tasks and setting budgets to reviewing submissions and releasing payout.
Filter by topic to find guides, product notes, and industry reads relevant to your role.
Practical principles for consent, provenance, fair compensation, and documented collection—without slowing experimentation.
How to pick projects that match your skills, pass quality checks consistently, and build repeat income across regions.
What happens between submission and payment—and how requesters and collectors can reduce back-and-forth.
When to blend internal annotators with global collectors, and how to structure SLAs, privacy, and delivery cadence.
Key considerations for EU-facing projects: lawful basis, minimization, retention, and collector obligations in plain language.
Real patterns from contributors who combined local knowledge, flexible hours, and repeat requesters to grow earnings.
How subscription tiers and per-delivery fees interact—and why you only pay when work is approved.
Practical writing for both sides of the marketplace—no fluff, no jargon walls.
Step-by-step posts for requesters and collectors getting started on the platform.
How pricing, quality checks, wallets, and workflows evolve as DataW ships.
Ethics, privacy, and sourcing trends for AI and research teams.
We publish guides and platform updates regularly. Reach out to be notified when new articles go live—or suggest a topic for our editorial calendar.