Data contracts: what they are, what to include and how to start simply
A data contract is a written agreement between whoever produces a dataset and whoever uses it: what it contains, at what quality and how often it is delivered. Think of a supplier contract: if the product changes without notice, the customer finds out late. Here is what to include and how to start with one critical dataset.
The problem it solves
A team renames a column or changes what a field means. Nobody told the people consuming it, and a report or model starts failing days later. A data contract turns that implicit expectation into a visible agreement.
What it should include
- What the data is: name, description and purpose.
- Schema: fields, types and what each means.
- Expected quality: for example, mandatory fields with no gaps or values within a range.
- Frequency and timing: when it updates and the maximum delay.
- Owner: who produces it and who answers when something goes wrong.
- Change management: how much notice is given before changing anything.
- Classification and permitted use: whether it holds personal data and what it may be used for.
How to start in four steps
- Pick one critical dataset that has already caused problems.
- Write the contract on one page, in business language.
- Agree it with the people who consume it.
- Automate a simple check (empty fields, format, delay) and alert the owner when it fails.
Common mistakes
- Writing it and filing it. A contract without a check is just another document.
- Trying to cover all data at once. Start with one.
- Doing it from IT alone. The business provides the meaning of the data.
Frequently asked questions
What is a data contract?
An agreement between a data producer and its users on structure, quality, timing and owner.
Is it the same as an SLA?
No: an SLA measures service levels; the contract also defines schema, meaning and quality rules.
Where do I start?
With one critical dataset that has already caused problems.
Informational content, not legal advice.
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