Category: Data Products
Practical perspectives on designing, prioritising and managing data products, particularly in healthcare, genomics and research environments.
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From Data Tables to Data Bundles: Designing Data Around Research Questions
Researchers rarely use one data table in isolation. Data bundles combine complementary datasets around real research questions, reducing the time and effort needed to find, link and interpret them. This article explores how complementarity and transaction costs can guide the design of better data products.
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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…