OpenMindat: Open and FAIR mineralogy data from the Mindat database

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Xiaogang Ma, Jolyon Ralph, Jiyin Zhang, Xiang Que, Anirudh Prabhu, Shaunna M. Morrison, Robert M. Hazen, Lesley Wyborn, Kerstin Lehnert
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引用次数: 0

Abstract

The open data movement has brought revolutionary changes to the field of mineralogy. With a growing number of datasets made available through community efforts, researchers are now able to explore new scientific topics such as mineral ecology, mineral evolution and new classification systems. The recent results have shown that the necessary open data coupled with data science skills and expertise in mineralogy will lead to impressive new scientific discoveries. Yet, feedback from researchers also reflects the needs for better FAIRness of open data, that is, findable, accessible, interoperable and reusable for both humans and machines. In this paper, we present our recent work on building the open data service of Mindat, one of the largest mineral databases in the world. In the past years, Mindat has supported numerous scientific studies but a machine interface for data access has never been established. Through the OpenMindat project we have achieved solid progress on two activities: (1) cleanse data and improve data quality, and (2) build a data sharing platform and establish a machine interface for data query and access. We hope OpenMindat will help address the increasing data needs from researchers in mineralogy for an internationally recognized authoritative database that is fully compliant with the FAIR guiding principles and helps accelerate scientific discoveries.

Abstract Image

Abstract Image

OpenMindat:开放和公平的矿物学数据,来自Mindat数据库
开放数据运动给矿物学领域带来了革命性的变化。通过社区的努力,越来越多的数据集被公开,研究人员现在能够探索新的科学课题,如矿物生态学、矿物进化和新的分类系统。最近的成果表明,必要的开放数据加上数据科学技能和矿物学专业知识,将带来令人印象深刻的新科学发现。然而,研究人员的反馈意见也反映出开放数据需要更好的公平性,即对人类和机器来说都是可查找、可访问、可互操作和可重复使用的。在本文中,我们将介绍我们最近为世界上最大的矿物数据库之一 Mindat 建设开放数据服务所做的工作。在过去几年中,Mindat 为许多科学研究提供了支持,但用于数据访问的机器接口却从未建立起来。通过 OpenMindat 项目,我们在两个方面取得了扎实的进展:(1)清理数据,提高数据质量;(2)建立数据共享平台,建立数据查询和访问的机器接口。我们希望 OpenMindat 能够帮助满足矿物学研究人员日益增长的数据需求,建立一个完全符合 FAIR 指导原则的国际公认的权威数据库,帮助加速科学发现。
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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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