@pcmasuzzo I think the more important roles of the #openscience "leaders" right now is being vocal about what things are now being sold as "openscience" but are not. (but searching myself too!)
maybe to give some examples: "open access" to COVID19 articles that cannot be redistributed by others --> not #openscience
web scraping content from a website that did not have any license statement --> not #openscience
"data available on request" --> not #openscience
(paying) article processing costs --> it's not even not #openscience, but certainly not #openscience
a hybrid journal --> not #openscience
FAIR data --> not #openscience
EC H2020 Open Data Pilot --> not #openscience
a big publisher with a few CC-BY journals but no intention to flip their flagship journals (or hiding behind a "first..." --> not #openscience
preprints that cannot be reshared --> not #openscience
most MOOCs --> not #openscience
not citing an #openscience resource --> not even not #openscience, but outright violating academic values: you cite your sources
dropping a paywalled paper on ResearchGate --> not #openscience
a paywalled paper that you can read with ReadCube --> not #openscience
a .tar.gz in Supplementary Info without a copyright/license statement --> not #openscience

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More from @egonwillighagen

15 Feb
with all good intentions, the result is not very useful: "Predatory journals and publishers are entities that prioritize self-interest at the expense of scholarship and .. 1/
... are characterized by false or misleading information, deviation from best editorial and publication practices, a lack of transparency, and/or the use of aggressive and indiscriminate solicitation practices.” 2/
one of mistakes I think the consensus model made is that it has too much circular bootstrapping. Something is predatory because what we do not find predatory is not. E.g. the point about transparency. Just check how "transparent" some major publishers are in @RetractionWatch. 3/
Read 9 tweets
24 Jan
beste @haan_judith en @mariekeadria, in scienceguide.nl/2021/01/zonder… vertellen jullie over de rol van leiderschap. Het riep bij mij superveel vragen op. Ik wil een paar dingen terugspelen als commentaar, maar eindig met een central vraag. 1/
@haan_judith @mariekeadria voor mij staat #openscience compleet los van leiderschap. Als de associatie dat in beide gebieden veel kan en misschien moet gebeurden, daar kan ik in meegaan. Maar voor mij staan ze verder los van elkaar: voor #openscience heb je gewoon alle teamrollen nodig. 2/
@haan_judith @mariekeadria Ik zag 'getalenteerd amateurmodel' voorbijkomen. Dat is hard. Ik weet niet of dit helemaal te veranderen is. Ik heb wel een beeld met wat er bedoelt wordt. Het laat mooi zien dat middelen doelen worden. Want het aantal publicaties en subsidies staat niet los van leiderschap. 3/
Read 8 tweets
23 Jan
now that @emblebi no longer supports RDF actively, I am wondering if @bigcat_UM should reinstate a SPARQL endpoint for @ChEMBL Retweet this tweet and with 50 retweets I'll make it happen. With fewer, but at least 20, I'll try to squeeze it into one of our funded projected.
@emblebi @bigcat_UM @ChEMBL when I was postdoc at @UU_University, (2008-2010) I wanted to make more reuse of ChEMBL and I made it more FARI, by converting it to RDF: jcheminf.biomedcentral.com/articles/10.11… During the @Open_PHACTS, the ChEMBL team took over RDF generation and started up a SPARQL endpoint.
@emblebi @bigcat_UM @ChEMBL @UU_University @Open_PHACTS At some point, I stopped putting effort in the SPARQL endpoint in the @ola_spjuth's PharmBio group, assuming the EBI could provide more sustainability. Sadly, all the FAIR efforts could not keep a extremely FAIR SPARQL endpoint sustainable :(
Read 4 tweets
22 Jan
okay, I got to get this out. This summer the delay in EU project research due to the pandemic was 1-2 months behind, overall. during the summer it seemed stable, but after a work week of 54 hrs (since Monday morning) and counting, I think it's fair to say it's more like 2-4 now
i find it really hard to pinpoint how this happened. I know some factors, but it's hard to see how they translates to delay days:

1. it's a freaking pandemic and this affected my mental health (focus, etc)
2. more meetings online and more discussions on how to do thing online
3. less meetings in person: this really makes it harder to translate knowledge

But determining the effect is hard. These are confounded with:

a. teaching took more effort
b. all administration changed, introducing learning curves
Read 6 tweets
3 Dec 20
21 Tips on how to sound #openscience: in the last three weeks before x-mas, I will tweet on tip each day on how to sound like an open scientist, without actually doing open science. Enjoy! Image of a x-mas candle wit...
21 Tips on how to sound #openscience #1: provide temporary green #openaccess to paywalled literature without an open license during a global health crisis (only for one crisis is enough)
21 Tips on how to sound #openscience #2: host a website, tell everyone they can use it, allow everyone to use it in publication (free advertisement), but do not allow others to reuse it. Better ever, say: "but it is on the internet!"
Read 24 tweets
7 Nov 20
we're going to have a big copyright law fight in science... putting scientific knowledge online, allows legal scraping in the USA. That means, putting data online, puts it out in the open. I am not sure if the scraped data falls under copyright (does it)? 1/
but that latter is not the point: by taking data from a licensed source that does not allow redistribution, and you put it online, you *are* distributing it. Similar thing we see with SPARQL end points. The scraping there is trivial. 2/
it nicely shows that most researches don't git a s***/f*** (depending on region) about copyright law (also why many happily give it for free to publishers). Few journals give a s***/f*** (depending on publisher) either. 3/
Read 13 tweets

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