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. 2019 Apr 25;6:40. doi: 10.1038/s41597-019-0042-5

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — MIReAD reduces data ambiguity. (a) Seemingly clean data can still lack key information or have ambiguous metadata, hindering data reuse. (b) MIReAD compliant data includes the metadata necessary for data reuse and removes ambiguity. (c) Note data can be formatted differently, but still be MIReAD compliant such as by presenting data in a wide format.