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

作     者：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 Bugbee, Kaylin 

作者机构：Earth System Science Center/NASA MSFC IMPACT The University of Alabama in Huntsville HuntsvilleAL United States  Columbia University Palisades NY United States  Spain Ramapriyan Science Systems and Applications Inc. Lanham MD United States NASA Goddard Space Flight Center GreenbeltMD United States Curtin University Australia Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States Environmental Sciences Division Oak Ridge National Laboratory Oak RidgeTN United States /Magellium Spain National Computational Infrastructure Australian National University ACT Australia  Silver SpringMD United States  Darmstadt Germany Geoscience Australia ACT Australia  Hannover Germany Aston University United Kingdom Cooperative Institute for Research in Environmental Sciences NSIDC BoulderCO United States Australian Research Data Commons Melbourne Australia University of Maryland at Baltimore County BaltimoreMD United States  AshevilleNC United States StormCenter Communications | GeoCollaborate HalethorpeMD United States Metadata Game Changers BoulderCO United States Rhea GROUP La Piramide Via di Grotte Portella 6/8 Frascati00044 Italy European Space Agency Frascati Italy American Geophysical Union WashingtonDC United States Mercator Ocean International France North Carolina Institute for Climate Studies North Carolina State University AshevilleNC United States Ronin Institute United States  Spain Lamont-Doherty Earth Observatory of Columbia University Palisades NY United States NASA Marshall Space Flight Center HuntsvilleAL United States 

出 版 物：《Data Science Journal》 (Data Sci. J.)

年 卷 期：2021年第20卷第1期

核心收录：

基　　金：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). The technological and infrastructural support during the preparation and conduct of the workshop was invaluable. In particular  we thank Megan Carter  ESIP Community Director  for supporting us throughout the workshop and providing helpful advice during the planning stage of the virtual workshop  and ESIP Community Fellow  Alexis Garretson  for supporting the ESIP SM20 report-out session. We thank all participants for attending the pre-ESIP workshop and the ESIP SM20 session and contributing to productive discussions during the live sessions and the two weeks of the ESIP SM20 period. Portions of this work have been extracted from Peng et al. (2020a)  which reported on the workshop and the ESIP SM20 report-out session. The Australian participants acknowledge the support of the ARDC. The constructive suggestions from two anonymous reviewers of Data Science Journal have helped improve the quality of the paper 

主　　题：Information dissemination 

摘      要：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. © 2021 The Author(s).