Why not disregard the differences between the 3 different types of data and treat all data equally?
There is no reason why this cannot and should not be done. Indeed, there are several good reasons for doing exactly this. They include: 1. A single process may be used which, overall, may be simpler than adopting different processes for the different criticalities of the data; 2. A single suite of tools may be employed for all data, leading to reduced development and validation costs; 3. Future users, and hence integrity needs, are not known today and, therefore, data which is only routine or essential today may become critical in the future.
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