[CODATA-international] October 2019: Publications in the Data Science Journal

Plale, Beth A. plale at indiana.edu
Fri Nov 1 08:47:54 EDT 2019

The federal funding agencies in the US urge the sharing of the products of funded research through mechanisms like reporting on what datasets a researcher has made public in the “results of prior support” section of the NSF proposal.   I’ve been working on open science at NSF going on 3 years now and have seen progress just in this short period of time. It’s a large problem, as you point out, with many pieces. But progress is in the right direction.

My 2c


: Beth Plale, PhD
: On loan to the National Science Foundation
: Dept. of Intelligent Systems Engineering
: Indiana University Bloomington
: plale at indiana.edu

From: CODATA-international <codata-international-bounces at lists.codata.org> on behalf of "Parsons, Mark" <parsom3 at rpi.edu>
Date: Friday, November 1, 2019 at 8:37 AM
To: Falk Huettmann <fhuettmann at alaska.edu>
Cc: CODATA International <codata-international at lists.codata.org>
Subject: Re: [CODATA-international] October 2019: Publications in the Data Science Journal

Well, Falk. DSJ can only publish what is submitted. We welcome papers on most any of those topics if you care to submit.
Sent from my iPhone

On Nov 1, 2019, at 06:09, Falk Huettmann <fhuettmann at alaska.edu> wrote:
Dear Colleagues,
thanks so much for those references.
Always good to know and to learn about progress, e.g. in magnetics or ontologies.

considering we have real world problems at hand,
for decades, and those are not well addressed at all, the references
below help me nothing really (=marginal for me; sorry if I miss details) for progress, considering we are in such
a crisis globally, also on open access, repeatability and transparency and in the sciences (which are to lead society!)..

For examples that I want to see tackled for progress reports,
here a selection of just a few :

-when do IPCC and climate change scientists really are all Open Access
 (so that the public can actually see and understand the process and the science and the data)  ?

-when do our fisheries data become GIS-based and open access, on a vessel and catch-basis, e.g. EU, Canada, Brazil or US, China etc ?

-how about the migratory bird poaching data, e.g. Malta or UK and Germany become open access (>12mio birds dead every year)
 And how about all the raw bird banding data, EURING, or in MOVEBANK by MaxPlanck Institute, BAS, USGS etc ?

-research vessel data, e.g. Antarctica, and elsewhere ? And how about space missions: NASA, India, China, Indonesia, Russia etc ?

-most remote sensing data (beyond old LANDSAT).

-how about open access data for the UN, FAO, The World Bank or the EU and the White House, or the NATO etc ?

-at least in the U.S., China and in the EU, the hospitals do almost nothing to help us working
 on developing leukemia or cancer cluster data and maps; not shared at all!

-impact study data on wind parks, or mine sites or nuclear site being public as raw data, mandatory ?

-Academies of Sciences: many nations are NOT into open access data at all; at least  not in a meaningful way

-nowadays, in the sciences, they are often based on R, but why not sharing all R code used mandatory (github is Microsoft owned btw) ?

-metadata as the core problem unresolved globally

I await good answers on those type of questions relevant for the global audience and public,
but I see almost no progress, certainly not in the sciences or in industry, nor on the political side at all.

Instead, we are told that CERN , Svallbard DNA or astronomers put all their data online, increasingly.
So nice, but the core issues - on earth and relevant for us people today - often remain to be Open Access ones ,and it currently gets worse there
(I see that increasingly).

Thanks for that understanding and for the push for Open Access in the real world.
It's pretty simple to achieve: "Just open it up with reason".


   Falk Huettmann PhD, Professor
     Uni of Alaska Fairbanks

On Thu, Oct 31, 2019 at 9:35 PM Asha CODATA <asha at codata.org<mailto:asha at codata.org>> wrote:

October 2019:  Publications in the Data Science Journal

[http://codata.org/blog/wp-content/uploads/2019/11/51.gif]<http://codata.org/blog/wp-content/uploads/2019/11/51.gif>Title: Different Preservation Levels: The Case of Scholarly Digital Editions
Author: Elias Oltmanns, Tim Hasler, Wolfgang Peters-Kottig, Heinz-Günter Kuper
URL: http://doi.org/10.5334/dsj-2019-051<http://doi.org/10.5334/dsj-2019-048>

[http://codata.org/blog/wp-content/uploads/2019/11/50.gif]<http://codata.org/blog/wp-content/uploads/2019/11/50.gif>Title: A Method for Extending Ontologies with Application to the Materials Science Domain
Author: Huanyu Li, Rickard Armiento, Patrick Lambrix
URL: http://doi.org/10.5334/dsj-2019-050

[http://codata.org/blog/wp-content/uploads/2019/11/49.gif]<http://codata.org/blog/wp-content/uploads/2019/11/49.gif>Title: Analysis of Several Years of DI Magnetometer Comparison Results by the Geomagnetic Network of China and IAGA
Author: ufei He, Xudong Zhao , Dongmei Yang, Fuxi Yang, Na Deng, Xijing Li
URL: http://doi.org/10.5334/dsj-2019-049




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