4.7 Article

Data upcycling

期刊

ORE GEOLOGY REVIEWS
卷 89, 期 -, 页码 887-893

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.oregeorev.2017.07.009

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Data upcycling; Legacy data; Fit-for-purpose; JORC; Mineral exploration; QA/QC

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Mineral exploration and mining are data-driven industries. Here, we emphasize the role of data upcycling as a significant contributor to modern exploration. Upcycling can take three basic forms, all aimed at enhancing the veracity of data: (1) re-collection of data, (2) collection of complimentary data, and (3) assessment and innovative portrayal/integration of data. Upcycling of previously collected (or legacy) data allows information to be integrated into modern datasets. This paper offers perspectives and examples on how data upcycling benefits mineral exploration, with short case studies from Western Australia highlighting the role of government, service providers and resource explorers. Crown Copyright (C) 2017 Published by Elsevier B.V. All rights reserved.

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