<div dir="ltr">Dear Colleagues,<div>thanks,</div><div>as a comment and real-world check:</div><div><br></div><div>"Beijing Declaration on Open Access",</div><div>just see COVID and its labs and data, specifically the Asian ones.</div><div>Perhaps we rather need a Wuhan Declaration from that to make the problem clear for everybody and more</div><div>defendable ?</div><div><br></div><div>Re. indigenous issues, I can see the topic and understand it first hand,</div><div>but in reality, it comes home to cases like:</div><div>a researcher is not allowed to look at birds, or polar bears (needs permits) in such areas,</div><div>but (commercial) tourists are allowed (citizen science).</div><div>This looks pretty absurd to me, and not as intended.</div><div>(in eBIRD data as an example, simply check for survey effort with cruise ship locations)</div><div><br></div><div>I see issues like Gyrfalcons (endangered, protected etc), data not being shared there for 'protection', and everybody (urbanized) easily agrees (aka makes sense),</div><div>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. georeferenced.</div><div>See IUCN for an example, or high impact journals.</div><div>Similar can be said with health data.<br></div><div><br></div><div>There are typical examples where data admins do not know what they do, and how they do it,</div><div>and for whom, and why. Thus far, I see a large financial-political profile in that, with a massive trend though, </div><div>but hardly more. </div><div>Impacts are clear from that.</div><div><br></div><div>Please keep me posted for progress, thanks and very best</div><div><br></div><div> Falk Huettmann PhD, Professor</div><div> Uni of Alaska Fairbanks</div><div><br></div><div>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 self-archived,</div><div>not supported or acknowledged, certainly not awarded by UN and such minds:</div><div><p class="MsoNormal" style="text-indent:0.5in;margin:0in 0in 0.0001pt;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif">Zhang L., F. Huettmann, C. Liu, P.
Sun, Z. Yu, X, Zhang and C. Mi (2019) The use of</span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt 1in;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif">classification and regression algorithms
using the random forests method with presence-only data to model species’s
distribution MethodsX 6: 2281-2292 </span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt 1in;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif"><a href="https://www.sciencedirect.com/science/article/pii/S2215016119302596">https://www.sciencedirect.com/science/article/pii/S2215016119302596</a></span></p>
<p class="MsoNormal" style="text-indent:0.5in;margin:0in 0in 0.0001pt;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif">Zhang L., F. Huettmann, C.
Liu, P. Sun, Z. Yu, X, Zhang and C. Mi (2019) </span></p>
<p class="MsoNormal" style="text-indent:0.5in;margin:0in 0in 0.0001pt;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif"> Classification
and regression with random forests as a standard method for presence-</span></p>
<p class="MsoNormal" style="text-indent:0.5in;margin:0in 0in 0.0001pt;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif"> only
data SDMs: A future conservation example using China tree species. Ecological</span></p>
<p class="MsoNormal" style="text-indent:0.5in;margin:0in 0in 0.0001pt;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif"> Informatics
<a href="https://doi.org/10.1016/j.ecoinf.2019.05.003">https://doi.org/10.1016/j.ecoinf.2019.05.003</a></span></p></div><div><p class="MsoNormal" style="text-indent:0.5in;margin:0in 0in 0.0001pt;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif">Xuesong H, Yu. Guo, C. Mi, F.Huettmann and L. Wen (2017)
Machine Learning </span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif"> Model Analysis of
Breeding Habitats for the Blacknecked Crane in Central Asian </span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif"> Uplands under
Anthropogenic Pressures. Scientific Reports 7, Article number: 6114</span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.5in;text-indent:0.5in;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif">doi:10.1038/s41598-017-06167-2.
<a href="https://www.nature.com/articles/s41598-017-">https://www.nature.com/articles/s41598-017-</a></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.5in;text-indent:0.5in;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif">06167-2</span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.5in;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif">Kandel K, F. Huettmann, M. K.
Suwal, G.R. Regmi,V. Nijman, K.A.I. Nekaris,S.T. </span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.5in;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif"> Lama,A.
Thapa,H.P. Sharma and T.R. Subedi (2015) Rapid multi-nation distribution </span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.5in;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif"> assessment
of a charismatic conservation species using open access ensemble model </span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.5in;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif"> GIS
predictions: Red panda (<i>Ailurus fulgens</i>)
in the Hindu-Kush Himalaya region.</span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.5in;text-indent:0.5in;font-size:12pt;font-family:Times,serif">
</p><p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.5in;font-size:12pt;font-family:Times,serif"><span style="font-family:"Times New Roman",serif"> Biological
Conservation 181: 150-161.</span></p></div><div><br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Thu, May 28, 2020 at 4:32 AM Mercury Fox <<a href="mailto:ceds@email.arizona.edu">ceds@email.arizona.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr">The <a href="https://zenodo.org/record/3552330#.Xs-tt9rQhEY" target="_blank">Beijing Declaration on Research Data</a> 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.</div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, May 27, 2020 at 5:31 PM Falk Huettmann <<a href="mailto:fhuettmann@alaska.edu" target="_blank">fhuettmann@alaska.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div><br></div><div>Dear Kind Colleagues,<br></div><div><br></div><div>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</div><div>trustworthy,</div><div>I would like to share with you below a recent article by the esteemed American Association of<br></div><div>University Professors (AAUP), titled </div><div><br></div><div>The Big Secret in the Academy Is That Most Research Is Secret: The dangerous rift between open and classified research, Spring 2020</div><div>By Kate Brown<br></div><div><a href="https://www.aaup.org/article/big-secret-academy-most-research-secret#.Xs7TDERKhhE" target="_blank">https://www.aaup.org/article/big-secret-academy-most-research-secret#.Xs7TDERKhhE</a> <br></div><div><br></div><div>It deals with Chernobyl as a case study but has many wider implications and statements within on data access issues and the sciences, globally.</div><div><br></div><div>It mirrors what I know and see, and what I have expressed last years.</div><div><br></div><div>It also reminds of such type of works (see facts and details within, specifically data and digital society issues) like:</div><div><a href="https://www.penguinrandomhouse.com/books/533258/how-will-capitalism-end-by-wolfgang-streeck/" target="_blank">https://www.penguinrandomhouse.com/books/533258/how-will-capitalism-end-by-wolfgang-streeck/</a> <br></div><div><a href="https://www.amazon.com/Against-Everything-Essays-Mark-Greif-ebook/dp/B019B6WTZW" target="_blank">https://www.amazon.com/Against-Everything-Essays-Mark-Greif-ebook/dp/B019B6WTZW</a> <br></div><div><a href="https://www.amazon.com/Dirty-Wars-Battlefield-Jeremy-Scahill/dp/156858671X" target="_blank">https://www.amazon.com/Dirty-Wars-Battlefield-Jeremy-Scahill/dp/156858671X</a> </div><div><br></div><div>The best way to proceed here, in a good way, is to fully acknowledge the status quo,</div><div>and then improve on it dramatically for betterment. </div><div>I lack those acknowledgements though and actions even, or a valid vision, beyond just arbitrary piecemeal with many loop holes and ineffciencies.</div><div><br></div><div>That's my view.</div><div> <br></div><div>Thanks, please keep me posted on this topic.</div><div>Very best regards</div><div> Falk Huettmann PhD, Professor</div><div> University of Alaska Fairbanks</div><div><br></div><div><br></div></div>
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</blockquote></div><br clear="all"><div><br></div>-- <br><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><font style="background-color:rgb(255,255,255)" color="#073763" face="garamond, times new roman, serif"><b>Merc Fox<br></b></font><font face="monospace">Director, </font><span style="font-family:monospace">CODATA Center of Excellence in Data for Society at the University of Arizona</span></div><div dir="ltr"><font face="monospace">Data7 + iSchool + NNI + CDSDS</font><br></div><div dir="ltr"><span style="font-family:monospace">Tucson AZ </span><span style="font-family:monospace">♦</span><span style="font-family:monospace"> </span><span style="font-family:monospace">Washington DC</span><span style="font-family:monospace"> </span></div><div dir="ltr"><div><span style="font-family:monospace">(520) 261-4997</span><br></div></div><div dir="ltr"><font face="monospace"><a href="https://ceds.arizona.edu" target="_blank">https://ceds.arizona.edu</a> <br></font></div><div dir="ltr"><div><font face="monospace"><a href="https://orcid.org/0000-0002-0726-7301" target="_blank">https://orcid.org/0000-0002-0726-7301</a></font></div><br><div><font face="garamond, times new roman, serif">Tucson and the University of Arizona are located on Tohono O'odham Nation homelands and the lands of the Pascua Yaqui Tribe.</font></div><div><br></div></div></div></div></div></div></div></div></div></div>
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