While building out the framework for the System Evaluation program I’ve been plugging the last few weeks, I’ve started thinking about data infrastructure in terms of three angles, each of which gives you a different view of what you have and what you need to build. As I talk to folks at different biotechs about what they’re looking for and what they think a design should look like, I’m realizing that they’re often looking at it from just one of these angles. But to get a complete view, and to communicate a complete design, you need all three. So this week, I want to describe what they are, how they’re different, and how they interact.
Biotech data is a three-dimensional problem
Biotech data is a three-dimensional problem
Biotech data is a three-dimensional problem
While building out the framework for the System Evaluation program I’ve been plugging the last few weeks, I’ve started thinking about data infrastructure in terms of three angles, each of which gives you a different view of what you have and what you need to build. As I talk to folks at different biotechs about what they’re looking for and what they think a design should look like, I’m realizing that they’re often looking at it from just one of these angles. But to get a complete view, and to communicate a complete design, you need all three. So this week, I want to describe what they are, how they’re different, and how they interact.