Call to action for global access to and harmonization of quality information of individual earth science datasets


Knowledge about the quality of data and metadata is important to support informed decisions on the (re)use of individual datasets and is an essential part of the ecosystem that supports open science. Quality assessments reflect the reliability and usability of data. They need to be consistently curated, fully traceable, and adequately documented, as these are crucial for sound decision-and policy-making efforts that rely on data. Quality assessments also need to be consistently represented and readily integrated across systems and tools to allow for improved sharing of information on quality at the dataset level for individual quality attribute or dimension. Although the need for assessing the quality of data and associated information is well recognized, methodologies for an evaluation framework and presentation of resultant quality information to end users may not have been comprehensively addressed within and across disciplines. Global interdisciplinary domain experts have come together to systematically explore needs, challenges and impacts of consistently curating and representing quality information through the entire lifecycle of a dataset. This paper describes the findings of that effort, argues the importance of sharing dataset quality information, calls for community action to develop practical guidelines, and outlines community recommendations for developing such guidelines. Practical guidelines will allow for global access to and harmonization of quality information at the level of individual Earth science datasets, which in turn will support open science.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Computer Science
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: © 2021 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See licenses/by/4.0/ Funding Information: The virtual pre-ESIP workshop held on July 13, 2020 was sponsored by ESIP and co-organized by the ESIP IQC and the BSC EQC team, in collaboration with the ARDC AU/NZ DQIG. An additional community engagement event was carried out by the AU/NZ DQIG prior to the pre-ESIP workshop. ESIP is primarily supported by the National Aeronautics and Space Administration (NASA), the National Oceanic and Atmospheric Administration (NOAA) and the United States Geological Survey (USGS).
Uncontrolled Keywords: Data Quality,Earth Science Information,FAIR,Interoperability,Quality Dimension,Stewardship,Computer Science (miscellaneous),Computer Science Applications
Publication ISSN: 1683-1470
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://datasci ... 4/dsj-2021-019/ (Publisher URL)
PURE Output Type: Article
Published Date: 2021-05-04
Accepted Date: 2021-04-18
Authors: Peng, Ge
Downs, Robert R.
Lacagnina, Carlo
Ramapriyan, Hampapuram
Ivánová, Ivana
Moroni, David
Wei, Yaxing
Larnicol, Gilles
Wyborn, Lesley
Goldberg, Mitch
Schulz, Jörg
Bastrakova, Irina
Ganske, Anette
Bastin, Lucy (ORCID Profile 0000-0003-1321-0800)
Khalsa, Siri Jodha S.
Wu, Mingfang
Shie, Chung Lin
Ritchey, Nancy
Jones, Dave
Habermann, Ted
Lief, Christina
Maggio, Iolanda
Albani, Mirko
Stall, Shelley
Zhou, Lihang
Drévillon, Marie
Champion, Sarah
Hou, C. Sophie
Doblas-Reyes, Francisco
Lehnert, Kerstin
Robinson, Erin
Bugbee, Kaylin



Version: Published Version

License: Creative Commons Attribution

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