[CODATA-international] Brown (2020) Big Secret in the Academy (article) on Open Access and lack thereof

Falk Huettmann fhuettmann at alaska.edu
Thu May 28 13:24:44 EDT 2020

Dear Colleagues,
as a comment and real-world check:

"Beijing Declaration on Open Access",
just see COVID and its labs and data, specifically the Asian ones.
Perhaps we rather need a Wuhan Declaration from that  to make the problem
clear for everybody and more
defendable ?

Re. indigenous issues, I can see the topic and understand it first hand,
but in reality, it comes home to cases like:
a researcher is not allowed to look at birds, or polar bears (needs
permits) in such areas,
but (commercial) tourists are allowed (citizen science).
This looks pretty absurd to me, and not as intended.
(in eBIRD data as an example, simply check for survey effort with cruise
ship locations)

I see issues like Gyrfalcons (endangered, protected etc), data not being
shared there for 'protection', and everybody (urbanized) easily agrees (aka
makes sense),
while in reality, in science and on the ground (locally, govs, falconers,
poachers etc),  happily can share and make such data fully open, e.g.
See IUCN for an example, or high impact journals.
Similar can be said with health data.

There are typical examples where data admins do not know what they do, and
how they do it,
and for whom, and why. Thus far, I see a large financial-political profile
in that, with a massive trend though,
but hardly more.
Impacts are clear from that.

Please keep me posted for progress, thanks and very best

  Falk Huettmann PhD, Professor
         Uni of Alaska Fairbanks

PS Like below, and beyond, there are of course some good examples for Asian
data delivered online Open Access (see below) though but those are
not supported or acknowledged, certainly not awarded by UN and such minds:

Zhang L., F. Huettmann, C. Liu, P. Sun, Z. Yu, X, Zhang and C. Mi (2019)
The use of

classification and regression algorithms using the random forests method
with presence-only data to model species’s distribution MethodsX 6:


Zhang L., F. Huettmann, C. Liu, P. Sun, Z. Yu, X, Zhang and C. Mi (2019)

            Classification and regression with random forests as a standard
method for presence-

            only data SDMs: A future conservation example using China tree
species. Ecological

            Informatics https://doi.org/10.1016/j.ecoinf.2019.05.003

Xuesong H, Yu. Guo, C. Mi, F.Huettmann and L. Wen (2017) Machine Learning

                        Model Analysis of Breeding Habitats for the
Blacknecked Crane in Central Asian

                        Uplands under Anthropogenic Pressures. Scientific
Reports 7, Article number: 6114

doi:10.1038/s41598-017-06167-2. https://www.nature.com/articles/s41598-017-


Kandel K, F. Huettmann, M. K. Suwal, G.R. Regmi,V. Nijman, K.A.I.

            Lama,A. Thapa,H.P. Sharma and T.R. Subedi (2015) Rapid
multi-nation distribution

            assessment of a charismatic conservation species using open
access ensemble model

            GIS predictions: Red panda (*Ailurus fulgens*) in the
Hindu-Kush Himalaya region.

            Biological Conservation 181: 150-161.

On Thu, May 28, 2020 at 4:32 AM Mercury Fox <ceds at email.arizona.edu> wrote:

> The Beijing Declaration on Research Data
> <https://zenodo.org/record/3552330#.Xs-tt9rQhEY> has a prescription for
> closed research data in article 6, although I see that the final version
> removed the recommendation for data management plans include an embargo
> expiration date.
> On Wed, May 27, 2020 at 5:31 PM Falk Huettmann <fhuettmann at alaska.edu>
> wrote:
>> Dear Kind Colleagues,
>> as most people on this listerserver and in agencies promote the news that
>> we are all moving towards Open Access, and that things get better that way
>> and more transparent, or even more
>> trustworthy,
>> I would like to share with you below a recent article by the esteemed
>> American Association of
>> University Professors (AAUP), titled
>> The Big Secret in the Academy Is That Most Research Is Secret: The
>> dangerous rift between open and classified research, Spring 2020
>> By Kate Brown
>> https://www.aaup.org/article/big-secret-academy-most-research-secret#.Xs7TDERKhhE
>> It deals with Chernobyl as a case study but has many wider implications
>> and statements within on data access issues and the sciences, globally.
>> It mirrors what I know and see, and what I have expressed last years.
>> It also reminds of such type of works (see facts and details within,
>> specifically data and digital society issues) like:
>> https://www.penguinrandomhouse.com/books/533258/how-will-capitalism-end-by-wolfgang-streeck/
>> https://www.amazon.com/Against-Everything-Essays-Mark-Greif-ebook/dp/B019B6WTZW
>> https://www.amazon.com/Dirty-Wars-Battlefield-Jeremy-Scahill/dp/156858671X
>> The best way to proceed here, in a good way, is to fully acknowledge the
>> status quo,
>> and then improve on it dramatically for betterment.
>> I lack those acknowledgements though and actions even, or a valid vision,
>> beyond just arbitrary piecemeal with many loop holes and ineffciencies.
>> That's my view.
>> Thanks, please keep me posted on this topic.
>> Very best regards
>>    Falk Huettmann  PhD, Professor
>>      University of Alaska Fairbanks
>> _______________________________________________
>> CODATA-international mailing list
>> CODATA-international at lists.codata.org
>> http://lists.codata.org/mailman/listinfo/codata-international_lists.codata.org
> --
> *Merc Fox*Director, CODATA Center of Excellence in Data for Society at
> the University of Arizona
> Data7 + iSchool + NNI + CDSDS
> Tucson AZ ♦ Washington DC
> (520) 261-4997
> https://ceds.arizona.edu
> https://orcid.org/0000-0002-0726-7301
> Tucson and the University of Arizona are located on Tohono O'odham Nation
> homelands  and the lands of the Pascua Yaqui Tribe.
> _______________________________________________
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