Dear Rudy, dear all,
thank you for your email.
- Qeios’ text editor is a visual editor specifically designed for researchers.
- “9M active researchers around the world”, “2.8M articles published per year” and “1.5T
global R&D expenditure per year” [1.5 trillion PPP (purchasing power parity) dollars]
are UNESCO figures about the scientific community, not Qeios’ numbers. We have just
launched Qeios Beta and started inviting researchers. Qeios’ community counts now 120
researchers. We didn’t think those figures could be confusing. Thank you for the
feedback.
- So far, Qeios have been funded by co-founders’ personal savings + money from a couple of
knowledge-enthusiasts. To make it self-sustainable, stable and allow for improvements, we
are planning to apply a monthly fee of $10 to access some services such as Qeios’ text
editor and storage, depending on their usage. There won’t be advertisements, APCs or any
other hidden expenses.
We are just offering a possible solution and trying to make research better.
Feedback of any type is much appreciated.
Many thanks and all the best,
Gabriele
—
Gabriele Marinello
Co-founder, Qeios Ltd
34, Old Barrack Yard, SW1X 7NP, London, UK
UK +44 (0) 7426 853828
IT +39 380 8912791
gm(a)qeios.com
www.qeios.com
On Wed, Nov 14th, 2018 at 7:21 PM, Rudy Patard <rudy.patard(a)gmail.com> wrote:
Dear Gabriele, dear all,
So you're ontologists. I suppose (hope) you enable researchers to produce their
articles as semantic content. But I'm curious on how you enable fuzziness in knowledge
production.
Would end point querying be available ?
I saw you put a F1000 reference in you email. I recall having worked on that during my
thesis.
(french) "F1000Research publie sous licence CC-BY et requière des APC de 1000 USD HT
pour des articles entre 2500 et 8000 mots. 1000 USD de plus sont exigés au delà de cette
limite et il faut les contacter au delà de 15000 mots." (my thesis, git repos linked
in signature)
Would you grant us the pleasure of showing us the 'business model' of QEIOS ?
I'd like to understand how this young firm of yours as reached the "9M active
researchers", "2.8M articles" and "1.5T expenditure" (and just
for the record, 1.5T, a trillion and a half of what ? USD, £ ?)
M a mega, T a trillion, so should we guess for a F1000Research - like business model, with
Author Publication Charges (APC) about around 500(monetary unit) / article ?
I let wikimedians do the math of their number of articles divided by their total charges
(understanding the limits in comparing 1st source and encyclopedia production) to
'ponder' if F1000 and/or QEIOS rank as "predatory publication" according
to "raw cost" of sustaining a massive publication structure. One should also
take into account that many universities grant "server" space for their
'workers' as well as archives (for green OA as for grey production)...
You claim on your site that "Qeios can be read 100% free by anyone. There are no
economic and technological barriers between knowledge and people with Internet
access.", but that does not tell us how it is funded and about barriers in producing
knowledge (not only reading others).
I still do not understand why researchers don't switch to wikimedian-like productions.
Or more precisely, I understand and strongly disagree on why they continue feeding such a
system of theirs. At least, I'd expect wide margins of our social group to
"fork" production-review-dissemination systems (poorly funded universities or
disciplines, strongly fundamentals 'math'-geeks, computer scientists working
opensource-style etc.). I came to the conclusion (while reading Bourdieu) that
"academia" knows its (social) reproduction patterns and quietly approve of it,
and maintain it. I'm still waiting for the critical mass.
In case the list is interested, I developed a protocol in my final thesis chapter based on
wikimedian space:
* descriptions in English (chinese and french) versions under common
* french project under wikiversité Journal Scientifique Libre
BR
Rudy, RP87
Cordialement
Rudy Patard <mailto:rudy.patard@gmail.com>
{{u|RP87}}
Coopérateur Optéos, commoner,
Développeur de techniques intermédiaires libres
& Chercheur in-terre-dépendant [hal] [youtube]
On Wed, 14 Nov 2018 at 15:23, Gabriele - Qeios <gm(a)qeios.com
<mailto:gm@qeios.com> > wrote:
Dear Wikimedia OA list members,
I’m Gabriele Marinello, co-founder along with Giorgio Bedogni and Alberto Bedogni of Qeios
(
https://www.qeios.com/about). The reason I’m writing - to share with you what Qeios is
about. Hopefully, you’ll find this interesting. It goes without saying, it’s about Open
Science.
We are striving hard to finally give researchers power over the entire knowledge
life-cycle: production, quality check and sharing. The overall result is not just
immensely positive for all the stakeholders in the process, but also, and most of all, for
the output - knowledge. Free, better and more comparable/reproducible knowledge.
In short.
We do are applying the power of the community review, as many now do (fortunately), but to
be faaaar more effective, we are doing this at 2 different levels: the ingredients and the
cake! The ingredients being the definitions of which an article, the cake, is made of. We
firstly want the community to finally reach a consensus on what the best definitions to be
used are when creating knowledge (a real “Definictionary” for researchers, so that they
can all speak the same language!), and then let the same community openly review the
output in terms of articles.
Just to make you a quick example of an “ingredient”: think about the definition of
“Quality of Life” (QoL), essential metric when evaluating almost any medical treatment
(what is medicine fighting for?); there are thousands of different definitions of QoL… and
anyone is using the one which is best suited to his/her p-value… in short, anyone is
speaking the language which can benefit most to him/her.
And a research article is made of hundreds of definitions… and for each there are dozens
of variants... we can now easily understand how incomparable can be 2 articles that are
trying to find an answer to the same question (e.g. what is the best treatment for
Depression?), each being made of its unique mix of definitions... and it is precisely here
that the indecision and inconclusiveness of the research arise: we are not able, in almost
all cases, to say "treatment A is better than treatment B" simply because the 2
papers, the 2 studies, are not comparable!
Articles and definitions are composed and published directly on the platform (and Qeios
editor is satisfying like never before ; )). This is the most suitable way to take
advantage of the new object “definition” in producing the best possible knowledge: the
rating system built on definitions allows in fact researchers the assisted-choice of the
best ingredients to use when composing their articles... and if now anyone can easily
recognise the best definitions, articles will be automatically composed more
homogeneously, which means more comparable/reproducible research.
Researchers have the power, let’s use that power!
For those who are not familiar with the open post-publication peer review (i.e. community
review), I wouldn’t be able to give a better insight into its value than Andrew Gelman
here:
https://andrewgelman.com/2016/02/01/peer-review-make-no-damn-sense/. To better
understand what the guiding principles of the Qeios philosophy are, I would also suggest
these articles by Jon Tennant et al. and Jason Priem:
https://f1000research.com/articles/6-1151/v3 ;
https://www.nature.com/articles/495437a.
In the words of Einstein: "Only the individual can think, and thereby create new
values for society — nay, even set up new moral standards to which the life of the
community conforms. Without creative, independently thinking and judging personalities the
upward development of society is as unthinkable as the development of the individual
personality without the nourishing soil of the community.” We defend the creativeness of
the individual in the same way as we support the value that only the community can add.
If you are curious, you can find a video and more information here:
https://www.qeios.com/about
If then you are interested, you can sign up using an invitation link, here is Giorgio’s:
https://www.qeios.com/invitation-to-join/researcher/314
If you have any questions/doubts or feedback, feel free to drop me an email at
gm(a)qeios.com <mailto:gm@qeios.com> or call me at +39 380 8912791.
Wishing you all a wonderful week,
Gabriele
—
Gabriele Marinello
Co-founder, Qeios Ltd
34, Old Barrack Yard, SW1X 7NP, London, UK
UK +44 (0) 7426 853828
IT +39 380 8912791
gm(a)qeios.com <mailto:gm@qeios.com>
www.qeios.com <http://www.qeios.com>