Q:1 What kind of dataset is it?

What kind of data will you generate? Experimental data? Survey data? Observational data? Simulations? Images? Will the data be derived from existing datasets?

In what form will the data be? Tabular? Text? Computer code? What file formats will be used?

How large will the dataset be? How much data will the project collect?

Will the data be changing over the course of the project? Will it be growing over time? How will you handle additions/revisions/updates?

For example: Fixed datasets are static once collected. Growing datasets have data added over time, but do not revise data once collected. Version controlled datasets may have new data added as well as updates applied to data already collected.

The answer to these questions affects how you organize the data as well as the level of versioning needed. Keeping track of rapidly changing datasets can be challenging, so it is important to plan in advance for the entire data management process.