Data management lesson

[DamienIrving]

I was the lead instructor at a bootcamp for weather, climate and ocean scientists in February 2014, for which I prepared a novice level Python lesson on data management. The main messages in this lesson would be relevant to all areas of research, so I am hoping to get feedback/assistance on how best to generalize the lesson. So far I am thinking that I will:

• Replace the content that depends on the cdms2 library, as it is not easily installed using a package manager like pip or easy_install
• Perhaps use HDF5 instead of the netCDF file format???
• Perhaps find some wind speed data that can be downloaded more easily than the CMIP5 data??? (although it would also need to have an instructive data reference syntax)

A static version of this initial commit can be viewed here.

I have a feeling that the content of this lesson is also highly relevant to (but perhaps not yet covered in) the data carpentry materials that people have been working on lately...

[wking]

On Sun, Jul 13, 2014 at 11:15:25PM -0700, Damien Irving wrote:

• Perhaps use HDF5 instead of the netCDF file format???

+1 to HDF5.

[gvwilson]

Can you please sync with @tracykteal and the Data Carpentry folks on this one?