[Geo4All] New article: 'Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets'

[Maria Antonia Brovelli]

Lucy, a big applaude for this excellent work! Thanks
Maria

Scarica Outlook per Android<https://aka.ms/AAb9ysg>
________________________________
From: GeoForAll <geoforall-bounces at lists.osgeo.org> on behalf of Moreno-Sanchez, Rafael <Rafael.Moreno at ucdenver.edu>
Sent: Friday, April 1, 2022 2:37:19 AM
To: Lucy Bastin <l.bastin at aston.ac.uk>; geoforall at lists.osgeo.org <geoforall at lists.osgeo.org>
Cc: doctorluz <doctorluz at gmail.com>
Subject: Re: [Geo4All] New article: 'Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets'


Fantastic!

Congratulations.

Thank you for sharing.

Rafael



From: GeoForAll <geoforall-bounces at lists.osgeo.org> On Behalf Of Lucy Bastin
Sent: Thursday, March 31, 2022 11:42 AM
To: geoforall at lists.osgeo.org
Cc: doctorluz <doctorluz at gmail.com>
Subject: [Geo4All] New article: 'Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets'



[External Email - Use Caution]

Dear GeoForAll community members, I hope you are all keeping safe and well.

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…

https://datascience.codata.org/articles/10.5334/dsj-2022-008/



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?



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.

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
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.osgeo.org/pipermail/geoforall/attachments/20220401/a696f071/attachment-0001.html>