Peng, GeDowns, Robert R.Lacagnina, CarloRamapriyan, HampapuramIvánová, IvanaMoroni, DavidWei, YaxingLarnicol, GillesWyborn, LesleyGoldberg, MitchSchulz, JörgBastrakova, IrinaGanske, AnetteBastin, LucyKhalsa, Siri Jodha S.Wu, MingfangShie, Chung-LinRitchey, NancyJones, DaveHabermann, TedLief, ChristinaMaggio, IolandaAlbani, MirkoStall, ShelleyZhou, LihangDrévillon, MarieChampion, SarahHou, C. SophieDoblas-Reyes, FranciscoLehnert, KerstinRobinson, ErinBugbee, Kaylin2021-01-202021-01-202020-12-15Peng, 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; Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets (2020); https://osf.io/nwe5p/https://doi.org/10.31219/osf.io/nwe5phttp://hdl.handle.net/11603/20567Knowledge 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 and 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, calls for community action to develop practical guidelines, and outlines community recommendations for developing such guidelines. Community practical guidelines will allow for global access and harmonization of quality information at the level of individual Earth science datasets and support open science.13 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Public Domain Mark 1.0This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. LawText