The data life cycleΒΆ
This tutorial is structured around the idea of the data life cycle.
The stages we will discuss are:
- plan - self explanatory
- collect - data acquisition
- assure - quality assurance, cross-checking, pre-processing, data selection
- describe - annotation, metadata, lab notebooks
- preserve - long-term storage
- analyze/integrate/discover - data analysis