NASA NTRS · 20220017814
Making Dataset Quality Information FAIR: Supporting Open-Source Science and Enhancing (Re)Use and Trustworthiness of Scientific Data
Abstract
- Quality information should be documented and readily shared within and across domains. - Sharing of dataset quality information supports open science and trustworthiness of scientific data. - Dataset quality is more than data quality. - Quality tends to be domain-specific and context-dependent. - Community guidelines provide practical steps towards FAIR dataset quality information.
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Ge Peng, Carlo Lacagnina, Ivana Ivánová, Robert R. Downs, Hampapuram Ramapriyan, Anette Ganske, Lesley Wyborn, Dave Jones, Chung-Lin Shie, Lucy Bastin, David Moroni, Nancy Ritchey, Sarah Champion, Kaylin Bugbee, Mingfang Wu, Irina Bastrakova, Gary Berg-Cross, Yaxing Wei. Making Dataset Quality Information FAIR: Supporting Open-Source Science and Enhancing (Re)Use and Trustworthiness of Scientific Data. https://ntrs.nasa.gov/citations/20220017814
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