And on that note too...
Consider the quite sophisticated Data Management Planning tools and lessons put 
together by the NSF-funded DataONE Project.
They also have a community-based GitHub model for having the community own 
keeping the materials up-to-date and openly available to all.

See
Data Management Planning Tool https://www.dataone.org/data-management-planning
and
Data Management Skillbuilding Hub https://dataoneorg.github.io/Education/

Best,
Deb
PS Note they've taken advantage too of allowing rendering of materials w/o 
having to use GitHub directly -- making it easier for non-Git users to access 
and contribute to the materials.

On 2019-08-30 2:05 PM, Brooks Kieffer, Elizabeth Jamene wrote:
Hi Miriam,
As you and your colleague consider editing this resource, I encourage you to 
get in touch with the data services group at Stanford’s library if you haven’t 
already done so 
(https://library.stanford.edu/research/data-management-services/contact-us). 
They may be able to point you to existing Data Management materials that would 
help you avoid reinventing this particular wheel. While there are certainly 
nuances for how each discipline manages its data, there are basic principles 
that apply across the board and there is a great deal of existing (free and 
paid) material out there already.
 
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