Development of a Database System for Metamorphic Geochemistry

该项目将支持变质地球化学数据库（MetPetDB）的开发、实施和填充，目的是将已发表的数据存档，以便岩石学界的研究人员和学生随时可以访问。该数据库将为开始新项目的研究人员收集信息提供便利，允许浏览和搜索与全球任何地方有关的数据，将为地球上任何地方的研究人员之间的合作研究提供平台，为开始研究变质地质学的学生提供门户，并成为全球研究人员收集的大量数据的存储库。效率将大大提高，重复工作将减少，所有这些都将有助于更有效地利用联邦研究资金。最重要的是，它将为开展新的科学研究提供一个跳板，而这些研究在以前是极其昂贵或困难的。数据模型将基于变质样品和子样品，并将图像和化学分析之间的无缝集成作为基本设计元素。MetPetDB的这一方面在地球科学中是独一无二的，其结果将作为其他图像密集型学科发展的模板。该数据库将容纳来自全球各地的样品可获得的广泛信息，并将其分为两类：(a)观测和测量（例如矿物数据、图像、化学分析），其中已经存在可靠的数据模型，以及(b)解释性结果（例如P-T条件、结晶年龄、冷却速率等），这是基于观测数据得出的结论。为解释性数据开发健壮的数据模型是拟议项目的一部分。数据库系统将包括许多数据分析和计算工具，这将为研究人员增加相当大的能力。该数据库将可通过许多不同的标准进行搜索，并将具有用户友好的、基于web的界面，用于样本浏览、上传和导出以及项目协作。

This project will support the development, implementation and population of a database for metamorphic geochemistry (MetPetDB) with the purpose of archiving published data for ready access to researchers and students in the petrologic community. This database will facilitate the gathering of information for researchers beginning new projects, permit browsing and searching for data relating to anywhere on the globe, will provide a platform for collaborative studies among researchers anywhere on the planet, serve as a portal for students beginning their studies of metamorphic geology, and be the repository of vast quantities of data being collected by researchers globally. There will be a large increase in efficiency and reduction in duplication of effort, all of which will contribute towards more effective use of federal research monies. Most importantly, it will provide a springboard for launching new scientific studies that would have previously been prohibitively expensive or difficult. The data model will be based on metamorphic samples and subsamples and will incorporate seamless integration between images and chemical analyses as a fundamental design element. This aspect of MetPetDB is unique in the geosciences, and results will serve as a template for development in other, image intensive, disciplines. The database will house a wide range of information available for samples from all over the globe to be grouped into two categories: (a) observations and measurements (e.g. mineral data, images, chemical analyses), for which robust data models already exist, and (b) interpretative results (e.g. P-T conditions, crystallization ages, cooling rates, etc), which are conclusions based on the observational data. Development of a robust data model for interpretative data is part of the proposed project. The database system will incorporate a number of tools for data analysis and calculation that will add considerable power to the researcher. The database will be searchable via a number of different criteria, and will have user-friendly, web based interfaces for sample browsing, uploading and exporting, and project collaboration.