A universal and multi-dimensional model for  analytical data on geological samples

He, Yutong; Tian, Di; Wang, Hongxia; Yao, Li; Yu, Miao; Chen, Pengfei

doi:https://doi.org/10.5194/gi-8-277-2019

Articles | Volume 8, issue 2

https://doi.org/10.5194/gi-8-277-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gi-8-277-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 8, issue 2

Research article

|

30 Oct 2019

Research article |

| 30 Oct 2019

A universal and multi-dimensional model for analytical data on geological samples

Yutong He, Di Tian, Hongxia Wang, Li Yao, Miao Yu, and Pengfei Chen

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Final revised paper (published on 30 Oct 2019)
Preprint (discussion started on 08 May 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'A Universal and Multi-dimensional Model for Analytical Data on Geological Samples', Anonymous Referee #1, 03 Jun 2019
- AC2: 'A Universal and Multi-dimensional Model for Analytical Data on Geological Samples', yutong He, 27 Jul 2019
RC2: 'A Universal and Multi-dimensional Model for Analytical Data on Geological Samples', Anonymous Referee #2, 04 Jun 2019
- AC3: 'A Universal and Multi-dimensional Model for Analytical Data on Geological Samples', yutong He, 27 Jul 2019
AC1: 'A Universal and Multi-dimensional Model for Analytical Data on Geological Samples', yutong He, 27 Jul 2019

Short summary

A universal data model is a core to converge big geoanalytical data. We studied geoanalytical instruments, geological samples, and geoanalytical results and give a summarization of comprehensive geoanalytical data. We abstracted the data contents and designed the data model. It can be used for the construction of any geoanalytical data management system, data sharing system, or database by professional or amateur developers. Morever, we highly improved the efficiency of the data model.