Collaborative Proposal: Web-based Geo-Visualization and Laboratory Integration with the Magnetics Information Consortium

该奖项将继续支持Magnetics Information Consortium(MAGIC)。Magic的目标是为已公布的岩石和古地磁数据开发和维护一个开放的社区数字数据档案。这将允许研究人员和其他用户继续免费获取、搜索、可视化、操纵和下载这些数据，从而提高研究能力并确保持续获取以前在地球科学中收集的数据。自2003年以来，MagIC的开发一直由NSF作为一家特定领域的企业提供资金，最近已过渡到一个现代系统，该系统将允许开发更强的能力，以链接到其他必要的数据集合，以利用数据解决古地磁和岩石磁学研究中的重大长期研究问题。这些领域包括(I)了解过去的气候变化及其与地球磁场的关系；(Ii)地球固体内核出现和增长的时间及其对地球磁场的相关影响；(Iii)地幔的地球动力学，其中磁数据对于确定地幔羽流的稳定性和真正极移的可能性至关重要；(Iv)生物地磁；以及(V)高压和地外天体(包括其他行星)中的磁性。Magic为数据解释和地理可视化提供了基本的在线工具。对下一代进行开发和使用现代数据分析方法的培训是这一举措的一个关键组成部分。MagIC的架构已经进行了一次重大改革，包括过渡到开源的GitHub存储库，这样社区的意见就可以推动软件开发。数据库后端(使用MongoDB和Elasticearch)和Web界面(使用带有Reaction和语义UI的Meteor)已经完全重写，底层数据模型(现在是3.0版)得到了极大的简化。开发了通过网络界面进行数据存档的灵活程序，以改善用户体验并满足古地磁和岩石磁界的需要。这是一项巨大的努力，但新架构已经为扩大业务做好了准备。现代科学工作需要有效的数据获取、数据处理的透明度和可靠的文件记录，以便重现性和标准化问题能够轻易得到解决。我们过去和未来工作的一个关键方面是建立个性化的工作流程模式，以便从现场元数据、通过实验室测量和解释结果来理解任何研究的所有方面。这有助于整合来自不同研究的数据，并让数据用户在确定数据质量和是否适合特定目的方面拥有完全的控制权。它也正在迅速发展成为对地球科学出版物的要求。根据这项提议，工作将集中在五个领域：(1)协助古地磁实验室制定和实施透明的工作流程战略，将其数据存档；(2)为MAGIC增加新的搜索、可视化和API功能；(3)与其他磁学数据库互操作；(4)增加PMagPy数据处理工具，包括通过使用Jupyter笔记本实现可再现性；(5)使其他数据来源，如IODP，可以通过魔术获得；(Vi)数据救援行动，以确保有价值的现有信息不会被未来的研究人员丢失。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This award continues support for the Magnetics Information Consortium (MagIC). The goal of MagIC is to develop and maintain an open community digital data archive for published rock and paleomagnetic data. This will allow researchers and other users continued free access to archive, search, visualize, manipulate and download these data, thereby improving research capabilities and ensuring ongoing access to previously collected data in the Earth Sciences. Since 2003, MagIC`s development has been funded by NSF as a domain-specific enterprise, and has recently transitioned to a modern system that will allow development of improved capacity to link to other data collections necessary to harness data addressing significant long term research problems in paleomagnetic and rock magnetic research. These include (i) understanding of past climate changes and their relation to the Earth`s magnetic field; (ii) the timing of the appearance and growth of the Earth`s solid inner core and the associated influences on the geomagnetic field; (iii) the geodynamics of the Earth`s mantle, where magnetic data are crucial in determining the fixity of mantle plumes and the possibility of true polar wander, (iv) biogeomagnetism, and (v) magnetism at high pressures and in extra-terrestrial bodies, including other planets. MagIC provides fundamental tools online for data interpretation and geo-visualization. Training of the next generation in the development and use of modern data analysis methods is a key component of this initiative. A major overhaul of MagIC`s architecture has been undertaken, including transitioning to the open source GitHub repository so that community input can drive software development. The database backend (using MongoDB and Elasticsearch) and web interface (using Meteor with React and Semantic UI) have been completely rewritten and the underlying data model (now version 3.0) has been drastically simplified. Flexible procedures for archiving data via web interfaces have been developed to improve the user experience and address the needs of the paleomagnetic and rock magnetic community. This has been a drastic effort, but the new architecture is ready for expanded business. Modern scientific efforts require efficient access to data, transparency in data processing, and reliable documentation so that questions of reproducibility and standardization can be readily addressed. A key aspect of our past and future work is the establishment of individualized workflow schemas for understanding all aspects of any study from field metadata, through lab measurements, and interpreted results. This facilitates integration of data from disparate studies, and gives full control to the data user in determining data quality and suitability for specific purposes. It is also rapidly developing into a requirement for geoscience publications. Work under this proposal will focus on five areas: (i) assisting paleomagnetic labs in development and implementation of transparent workflow strategies to archive their data; (ii) adding new search, visualization, and API features to MagIC; (iii) interoperability with other magnetics databases; (iv) additions to PmagPy data processing tools, including reproducibility via the use of Jupyter notebooks; (v) making make other data sources, such as IODP, accessible in MagIC; (vi) data rescue operations to ensure that valuable existing information is not lost to future researchers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.