> Having to assign copyright to someone else recently felt like a sort
> awkward uncomfortable rite of passage in the academic world.
But it *doesn't* have to be a rite of passage. I mean, yeah, the
situation sucks and we *do* have to deal with it now, but just "putting
up with it" or quietly avoiding the medium of peer-reviewed journals
entirely won't make it change. I'd like to make things so that someday
my own PhD students won't have to go through that at all. (It may be a
very far-off someday. That's okay. We have time.)
> What's a list of the better 'open' journals?
So I've looked at this some, and sadly in our field the "good" journals
and the OA journals overlap in... zero places, as best as I can tell.
(Actually, I couldn't find any OA journals I would want to submit my
scholarly work to, but my subfield is engineering education so others
may have more pointers.)
> The copyright agreements often seem very overwhelming. (I'm thinking of
> ACM.)
ACM is actually pretty standard. IEEE is worse, they'll ask for
copyright assignment upon *submission* -- not even acceptance! One of
the other major publishers in my field, ASEE, has even weirder and
loopier and fuzzier copyright stuff... it *is* overwhelming. It also
seems like we tend to deal with the overwhelmingness by signing the
papers so we can move on with our lives/research instead of getting
mired in legal stuff which isn't interesting to us. So major props for
taking the time to look at this, Don -- and thank you.
> "You're not giving ACM the copyright to the dataset -- just the paper
> itself. Research hypotheses are, in general, second order – that is,
> they're not simple descriptions of the data (i.e., sample size, gender
> distribution). On a public dataset, descriptions (first-order analyses)
> are assumed to be public, as well."
> It seems to me then (with my limited knowledge and limited copyright
> finesse), that making the dataset public before submission may be a way
> to guarantee(?) that you and others may continue to evaluate the data.
I think so! Seb Benthall sent me a link to a blogpost from one of his
colleagues from Berkeley on exactly this strategy, and then I think I
lost the link (or at least can't find it now). Seb, do you remember what
I'm talking about?
--Mel
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