Category: Data Products
Practical perspectives on designing, prioritising and managing data products, particularly in healthcare, genomics and research environments.
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When “We Can Fix It” Isn’t Enough
NHS data can look like a patient story, but much of it was created for very different purposes. When the data doesn’t behave as expected, fixing it isn’t always the right answer. A mortality data issue made me think differently about data quality, provenance and where the boundaries sit between data management, governance and product…
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Before the Data Contract
A data contract can define how data should be structured, delivered and validated, but it cannot determine what users actually need. Drawing on my experience with clinical cohort discovery, I explore why data requirements should begin with the research question, how clinical concepts differ from source fields, and why meaning, context and known limitations are…
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The Economics of Data Products in the Age of AI: The Costs We See and the Costs We Shift
The cost of a data product goes beyond what it takes to build and maintain it. User effort and opportunity costs matter too. As AI changes how we discover and use data, understanding where these costs sit becomes increasingly important.