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Data collection

When existing data does not meet your needs, we define what to collect and from which sources. A project can include public articles, posts, product information, reviews, reports, video metadata and available subtitles, with source and collection-time notes. Document text extraction, table extraction, subtitle cleanup and de-identification can also be scoped into the project.

Discuss your data need

What you receive

  • A list of target records, fields, sources, and review rules
  • A structured dataset in an agreed table, CSV, JSON, or JSONL file
  • Available source and collection-time notes, including known gaps
  • Processed files such as extracted text, tables, subtitles, or de-identified records when needed

What we need to begin

  • The business use case and decisions the data will inform
  • Examples of desired records, fields, and any relevant source list
  • Geographic, language, timing, and update requirements

How we work

  1. 01

    Define the collection scope, fields, and review rules

  2. 02

    Where the source permits, review a small pilot collection and confirm the review rules

  3. 03

    Deliver the agreed files with relevant source and coverage notes

Assess the fit for your project

Data collection is for cases where existing data does not fit. It organizes collection around agreed sources, records, fields, dates, and review rules. Deliverable content and source conditions should be confirmed through scope and a small pilot first.

How should a collection scope be written so it is actionable?

Describe target records through the business question, then list sources, fields, geographies, languages, dates, exclusions, and acceptance method. Example records align interpretation and expose missing fields or poor source fit early.

Why start with a small collection pilot?

A pilot tests source-permitted scope, record relevance, field availability, and review rules before scaling. It is not a default promise of complete subsequent coverage, continuous updates, or media attachments.

How are delivery format and pricing determined?

Agree file structure such as tables, CSV, JSON, or JSONL and needed source and collection-time notes first. Pricing depends on source scope, record volume, field handling, review, file processing, and intended use.

FAQ

Frequently asked questions

Can we start with a small sample?

Yes. An initial set can help confirm the fields, source fit, and review needs before a larger collection.

What format will the data arrive in?

We agree the format before collection. Common options include CSV, spreadsheet-ready tables, JSON, and JSONL.

Deliverables are assessed against agreed specifications, sampling and acceptance criteria. New fields, rule changes or expanded scope require separate agreement. Domain annotation is not medical, legal or investment advice, or regulatory certification.Sources and usage ↗

Begin with a clear question.

Discuss your data need