23 Research Data Things – 3: Data in the research lifecycle

The Life cycle of data includes:

  1. Creating
  2. Processing
  3. Analysing
  4. Preserving
  5. Giving access
  6. Re-using

This follows on from the previous “thing” – in the scenario the researcher didn’t seem to think that the data would be useful after the article was published, and kept saying “all the information is in the article” – which is why they made no effort to preserve, provide access or make the data re-usable down the track. So they pretty much stopped at step 3.

The ANDS Guide to Research Data Management in Practice is very helpful. It is a little more detailed than the 6 steps above, listing key activities in pre-research, during research, and post-research. It’s critical to have a data management plan.

 

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