CHAPTER 3
Data Cycle Step 2: Data Design and Planning
In this chapter, considerations as to the actual design of data formats, basic software, and hardware choices to be involved in the planned experiments are covered. The design of the correct data formats, ontologies, and software tools needed for your experiments or collections are a crucial step in correct scientific design and good research practice. The planning of backups, integrity, security, versioning and high performance analytics versus ‘off line archiving’ and many other issues that pertain to solid capacity and stewardship planning are covered here. Generating data without properly working out what will be needed to make them reusable by your own group and by others is considered ...
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