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Years: use full range for relevant component development, not just last year.
Copyright "owner": DANDI is too vague. Quite comment accepted (not sure how much legally tested though) practice is to use {project} Team. Used IIRC by numpy, jupyter and many others (datalad ;-) ). So I would vote for "DANDI Team"
The text was updated successfully, but these errors were encountered:
I see that NumPy and Jupyter both attribute the copyright to a business/nonprofit entity, and while Datalad does indeed assign copyright to a "team", this page has fine grained details over which individuals own the copyright on various files in the site: https://www.datalad.org/copyright.html (the third guy under the * entry sounds familiar...).
Is it easier/more accurate to just assign the copyright to MIT? Or do we want to follow a similar approach as DataLad?
(I am in danger of overthinking this. In the end, I think we should pick an attribution and just move on. DANDI Team is ok with me, even if untested in court.)
I see that NumPy and Jupyter both attribute the copyright to a business/nonprofit entity,
hm...
(git)lena:~/proj/numpy[master]git
$> head LICENSE.txt
Copyright (c) 2005-2021, NumPy Developers.
But I guess they might attribute to NumFocus -- is that the one?
this page has fine grained details over which individuals own the copyright on various files in the site: https://www.datalad.org/copyright.html (the third guy under the * entry sounds familiar...).
that is only for the website. Ideally borrowed copyrighted stuff should indeed be listed separately with copyright/licenses. So to be kosher IMHO website might follow DataLad's website and have
"content licensed ??? — 2018–2021 DANDI Team — unless indicated otherwise" with pointer to the page with details, like done for datalad website.
brought up in dandi/dandiarchive-legacy#698
Years: use full range for relevant component development, not just last year.
Copyright "owner": DANDI is too vague. Quite comment accepted (not sure how much legally tested though) practice is to use
{project} Team
. Used IIRC by numpy, jupyter and many others (datalad ;-) ). So I would vote for "DANDI Team"The text was updated successfully, but these errors were encountered: