Writing
Notes from the work.
Practical writing on research-data integrity, reproducible analysis and health software that does not manipulate the person using it. No launch announcements, no thought leadership, just things we would want to read if we were on your side of the problem.
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What a data-management plan actually asks of a core facility
A DMS plan is written by a PI at application time and becomes someone else’s job after the award. Usually the core’s. Here is a practical read on what that means in daily operation.
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Could you prove what happened to sample A7?
Most labs can tell you what a result was. Far fewer can prove how it got there. The difference is a chain of custody, and it is mostly a recordkeeping problem, not a science problem.
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Reproduce the lab’s own numbers first, to the decimal
Before asking a laboratory to trust new analysis software, match the numbers it already has. Here is why that validation step matters more than any feature, and what it exposes about spreadsheet analysis.
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Why nutrition apps lose most of their users by day 30
The retention problem in food tracking is not a feature problem. It is the failure state built into the design, and removing it changes what the product has to be.
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