The data life cycleΒΆ

This tutorial is structured around the idea of the data life cycle.

Data life cycle, taken from

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