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, 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 and Bugbee, Kaylin (2021). Call to action for global access to and harmonization of quality information of individual earth science datasets. Data Science Journal, 20 (1),
Abstract
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: | https://doi.org/10.5334/dsj-2021-019 |
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Divisions: | College of Engineering & Physical Sciences College of Engineering & Physical Sciences > Systems analytics research institute (SARI) Aston University (General) |
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 |
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 http://creativecommons.org/ 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 |
Last Modified: | 18 Nov 2024 08:23 |
Date Deposited: | 20 Sep 2021 13:29 |
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 ( 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 |