Global earth mineral inventory: A data legacy,Geoscience Data Journal

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Global earth mineral inventory: A data legacy
Geoscience Data Journal ( IF 3.3 ) Pub Date : 2020-11-11 , DOI: 10.1002/gdj3.106
Anirudh Prabhu ₁ , Shaunna M Morrison ₂ , Ahmed Eleish ₁ , Hao Zhong ₁ , Fang Huang ₃ , Joshua J Golden ₄ , Samuel N Perry ₅ , Daniel R Hummer ₆ , Jolyon Ralph ₇ , Simone E Runyon ₈ , Kathleen Fontaine ₁ , Sergey Krivovichev ₉ , Robert T Downs ₄ , Robert M Hazen ₂ , Peter Fox ₁

Affiliation

Minerals contain important clues to understanding the complex geologic history of Earth and other planetary bodies. Therefore, geologists have been collecting mineral samples and compiling data about these samples for centuries. These data have been used to better understand the movement of continental plates, the oxidation of Earth's atmosphere and the water regime of ancient martian landscapes. Datasets found at ‘RRUFF.info/Evolution’ and ‘mindat.org’ have documented a wealth of mineral occurrences around the world. One of the main goals in geoinformatics has been to facilitate discovery by creating and merging datasets from various scientific fields and using statistical methods and visualization tools to inspire and test hypotheses applicable to modelling Earth's past environments. To help achieve this goal, we have compiled physical, chemical and geological properties of minerals and linked them to the above-mentioned mineral occurrence datasets. As a part of the Deep Time Data Infrastructure, funded by the W.M. Keck Foundation, with significant support from the Deep Carbon Observatory (DCO) and the A.P. Sloan Foundation, GEMI (‘Global Earth Mineral Inventory’) was developed from the need of researchers to have all of the required mineral data visible in a single portal, connected by a robust, yet easy to understand schema. Our data legacy integrates these resources into a digestible format for exploration and analysis and has allowed researchers to gain valuable insights from mineralogical data. GEMI can be considered a network, with every node representing some feature of the datasets, for example, a node can represent geological parameters like colour, hardness or lustre. Exploring subnetworks gives the researcher a specific view of the data required for the task at hand. GEMI is accessible through the DCO Data Portal (https://dx.deepcarbon.net/11121/6200-6954-6634-8243-CC). We describe our efforts in compiling GEMI, the Data Policies for usage and sharing, and the evaluation metrics for this data legacy.

中文翻译：

全球地球矿物清单：数据遗产

矿物蕴藏着了解地球和其他行星体复杂地质历史的重要线索。因此，几个世纪以来，地质学家一直在收集矿物样本并汇编有关这些样本的数据。这些数据已被用来更好地了解大陆板块的运动、地球大气的氧化以及古代火星景观的水状况。 “RRUFF.info/Evolution”和“mindat.org”上发现的数据集记录了世界各地大量的矿物出现情况。地理信息学的主要目标之一是通过创建和合并来自各个科学领域的数据集并使用统计方法和可视化工具来激发和测试适用于地球过去环境建模的假设，从而促进发现。为了帮助实现这一目标，我们编制了矿物的物理、化学和地质特性，并将它们与上述矿物赋存数据集联系起来。作为深度时间数据基础设施的一部分，由 WM Keck 基金会资助，在深碳观测站 (DCO) 和 AP 斯隆基金会的大力支持下，GEMI（“全球地球矿物清单”）是根据研究人员的需要而开发的让所有必需的矿物数据在单个门户中可见，并通过强大且易于理解的模式连接。我们的数据遗产将这些资源整合成一种易于理解的格式，用于探索和分析，并使研究人员能够从矿物学数据中获得有价值的见解。 GEMI 可以被认为是一个网络，每个节点代表数据集的某些特征，例如，节点可以代表颜色、硬度或光泽等地质参数。探索子网络使研究人员能够了解手头任务所需的数据的具体视图。 GEMI 可通过 DCO 数据门户 (https://dx.deepcarbon.net/11121/6200-6954-6634-8243-CC) 访问。我们描述了我们在编制 GEMI、使用和共享数据政策以及该数据遗产的评估指标方面所做的努力。

更新日期：2020-11-11

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