Consider only referencing openly accessible resources or labelling which are not open

[athms]

I would consider only including resources in this section (and the guide in general) that are openly accessible (outside of Stanford University and without any pay-barrier) OR clearly labelling which resources are openly available and which are not.

[poldrack]

+1 to only mentioning open resources

…

On Thu, Jan 28, 2021 at 8:28 AM Armin Thomas ***@***.***> wrote: I would consider only including resources in this section (and the guide in general) that are openly accessible (outside of Stanford University and without any pay-barrier) OR clearly labelling which resources are openly available and which are not. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#28>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAGUVEGTKO2J2VJAT2F6SCLS4GGBBANCNFSM4WXLA6AQ> .

-- Russell A. Poldrack Albert Ray Lang Professor of Psychology Associate Director, Stanford Data Science Institute Director, DSI Center for Open and Reproducible Science Building 420 Stanford University Stanford, CA 94305 poldrack@stanford.edu http://www.poldracklab.org/

[franklin-feingold]

I agree! perhaps was there a resource we are sharing now that is not open? I presume you may be referring to papers?

[athms]

Great! I was mainly referring to the Amazon book links (and some of the papers), but I am also not sure whether some of the listed Stanford courses are actually openly available (e.g., https://exploreintrosems.stanford.edu/frosh/scientific-method-and-bias and https://online.stanford.edu/courses/epi206-meta-research-appraising-research-findings-bias-and-meta-analysis). If the courses (or their materials) are openly available it would be great to link them.

[franklin-feingold]

Ahh thank you! Yep that all makes sense, sharing only open resources should be our approach (since the audience will be much broader than only the Stanford community)