Over the project life (and possibly beyond the end of the project) data may change. Obviously, this affects how you organize data as well as the degree or version levels you may need.
Common categories of data sets:
The volume of data produced depends, obviously, upon the type(s) of data produced. For instance, image data requires a great deal of storage space. Thus, determining if retention of all images is necessary . . . as well as setting out where data is 'housed', the specifics of what is retained, a plan for discarding unwanted items, when (timing) materials are discarded, who has and/or retains control of decisions for retaining/discarding, and clear statement of understanding of the archiving organizations capacity for storage and backup.
Estimate the growth rate of the data:
File formats likely readable in the the future:
See the section below, organized by format types, for specific file format recommendations.
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