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Lucy, a big applaude for this excellent work! Thanks
<div dir="auto">Maria</div>
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<div id="ms-outlook-mobile-signature" dir="auto">Scarica <a href="https://aka.ms/AAb9ysg">
Outlook per Android</a></div>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> GeoForAll <geoforall-bounces@lists.osgeo.org> on behalf of Moreno-Sanchez, Rafael <Rafael.Moreno@ucdenver.edu><br>
<b>Sent:</b> Friday, April 1, 2022 2:37:19 AM<br>
<b>To:</b> Lucy Bastin <l.bastin@aston.ac.uk>; geoforall@lists.osgeo.org <geoforall@lists.osgeo.org><br>
<b>Cc:</b> doctorluz <doctorluz@gmail.com><br>
<b>Subject:</b> Re: [Geo4All] New article: 'Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets'</font>
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<p class="x_MsoNormal">Fantastic!</p>
<p class="x_MsoNormal">Congratulations. </p>
<p class="x_MsoNormal">Thank you for sharing. </p>
<p class="x_MsoNormal">Rafael </p>
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<p class="x_MsoNormal"><b>From:</b> GeoForAll <geoforall-bounces@lists.osgeo.org>
<b>On Behalf Of </b>Lucy Bastin<br>
<b>Sent:</b> Thursday, March 31, 2022 11:42 AM<br>
<b>To:</b> geoforall@lists.osgeo.org<br>
<b>Cc:</b> doctorluz <doctorluz@gmail.com><br>
<b>Subject:</b> [Geo4All] New article: 'Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets'</p>
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<p class="x_MsoNormal"><span lang="EN-GB" style="font-size:10.5pt; font-family:"Segoe UI",sans-serif">[External Email - Use Caution]
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<p class="x_MsoNormal"><span lang="EN-GB">Dear GeoForAll community members, I hope you are all keeping safe and well.</span></p>
<p class="x_MsoNormal"><span lang="EN-GB">I’m happy to be able to share these newly-published guidelines for data quality documentation and sharing principles that can support open science and robust decision making. I hope you will find it interesting…</span></p>
<p class="x_MsoNormal"><span lang="EN-GB"><a href="https://datascience.codata.org/articles/10.5334/dsj-2022-008/">https://datascience.codata.org/articles/10.5334/dsj-2022-008/</a></span></p>
<p class="x_MsoNormal"><span lang="EN-GB"> </span></p>
<p class="x_MsoNormal"><span lang="EN-GB">The nature of input data, metadata, software, and workflows can all impact a dataset's quality and fitness-for purpose. The ability to easily find, understand, and integrate data quality information strongly influences
our decisions to use data and our capacity to efficiently apply knowledge generated from that data. What are the community-recommended approaches for consistently documenting and sharing machine- and human-understandable dataset quality information?</span></p>
<p class="x_MsoNormal"><span lang="EN-GB"> </span></p>
<p class="x_MsoNormal"><span lang="EN-GB">A group of international Earth Science domain experts formed a Community of Practice and address this challenge by developing guidelines for making dataset quality information Findable, Accessible, Interoperable, and
(Re)usable, i.e., FAIR, for both machine and human end-users.</span></p>
<p class="x_MsoNormal"><span lang="EN-GB">Ge Peng, Carlo Lacagnina, Robert R. Downs, Anette Ganske, Hampapuram K. Ramapriyan, Ivana Ivánová, Lesley Wyborn, Dave Jones, Lucy Bastin, Chung-lin Shie and David F. Moroni</span></p>
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