Collaborative Research: Facility: Next Generation Interoperable Data Infrastructure for Geoscience Sample Data (EarthChem, LEPR/traceDs, SESAR): IEDA Re-invented

协作研究：设施：用于地球科学样本数据的下一代可互操作数据基础设施（EarthChem、LEPR/traceDs、SESAR）：IEDA 重新发明

• 批准号: 2148939
• 负责人: Kerstin Lehnert
• 金额: $ 400.26万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-15 至 2027-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2148939&HistoricalAwards=false
• 关键词: Collaborative; Research; Facility; Next; Generation

Interdisciplinary Earth Data Alliance (IEDA2): Solid Earth Geoscience Data from NSF-Funded ResearchSociety relies more and more on data to survive. Researchers need to make sure that data they create are openly accessible, protected for the future, and can be used again for further research and teaching purposes within the community. They need a home for their data that stores and curates the data and makes it accessible online to other researchers and others who may be interested in the use of the data. In this project, three data systems in the Earth Sciences (EarthChem, SESAR, LEPR/traceDs) that have for over 15 years served as digital libraries for data are joining forces through the IEDA2 facility to create better data sharing tools and practices and to make it easier for anybody to discover and access data from previously disconnected studies in a single location. These new tools will help humans as well as machines access data faster and with accuracy. EarthChem is an open data provider for the geochemical, petrological, mineralogical, and related communities. EarthChem’s services include data publication, data preservation, discovery, access, and visualization. In this project, EarthChem will undertake essential developments to modernize and optimize technical implementation, enhance user functions, expand accessible data holdings, and engage with a broad community of users and data facilities to establish best practices and interoperability standards for geochemical data. EarthChem will restructure and reengineer its systems to ensure that its data services scale to evolving community demands and that operations are optimized for efficiency, resilience, and sustainability. New developments and applications of data science approaches will support next generation modes of data-driven research by improving both human and machine-readable interfaces for discovery, access, visualization, and analysis of content in EarthChem data systems. The Library of Experimental Phase Relations (LEPR) and traceDs are databases that comprise results of published experimental studies involving liquid-solid-fluid phase equilibria relevant to natural magmatic systems. Data compiled into LEPR/traceDs will be connected to the EarthChem Synthesis for broader access in order to support modeling and data analytics. SESAR is a unique repository for sample metadata that provides services to make samples more discoverable and interoperable. SESAR will expand its user community beyond geochemistry and the Earth Sciences. In addition, SESAR’s services will move to a new, independent, multi-disciplinary infrastructure for sample registration, a separately funded collaborative effort with cyberinfrastructure providers in biology, genomics, and archeology. IEDA2 will also substantially increase engagement with the communities and users it serves, specifically students and early-career researchers (ECRs). Online and in-person workshops for researchers and educators to learn about using IEDA2 resources that will be run and promoted in collaboration with the Science Education Resource Center SERC and the National Association of Geoscience Teachers (NAGT), aim to expand the reach of the data facility, while recruiting and supporting a new and diverse generation of geoscientists. Activities with students, educators, and researchers at City College of New York, South Dakota Mines, and Oglala Lakota College will broaden participation in data science. Integration of the CARE Principles for Indigenous Data Governance into IEDA2 will support the community-wide adoption of these ethics in sample and sample data.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.

跨学科的地球数据联盟（IEDA2）：来自NSF资助的研究社会的固体地球科学数据越来越依赖数据来生存。研究人员需要确保他们创建的数据是公开访问，未来保护的，并可以再次用于社区内的进一步研究和教学目的。他们需要一个用于存储和策划数据的数据的房屋，并使其他研究人员和其他可能对数据使用感兴趣的人在线访问。在这个项目中，在15年以上的地球科学（Earthchem，Sesar，Lepr/Traceads）中，作为数据的数字库中的三个数据系统正在通过IEDA2工厂连接起来，以创建更好的数据共享工具和实践，并使任何人更容易在单个位置中发现和访问先前脱节的数据。这些新工具将帮助人类以及机器的准确性访问数据。 Earthchem是地球化学，岩石学，矿物学和相关社区的开放数据提供商。 Earthchem的服务包括数据出版，数据准备，发现，访问和可视化。在这个项目中，Earthchem将采取基本发展，以现代化和优化技术实施，增强用户功能，扩展可访问的数据持有量，并与广泛的用户和数据设施社区互动，以建立地球化学数据的最佳实践和互操作性标准。 Earthchem将恢复并重新设计其系统，以确保其数据服务规模扩展到不断发展的社区需求，并为效率，弹性和可持续性提供了优化的运营。数据科学方法的新发展和应用将通过改善人类和机器可读的接口，以发现，访问，可视化和Earthchem数据系统中内容分析，以支持数据驱动研究的下一代模式。实验阶段关系库（LEPR）和跟踪是数据库，这些数据库完成了已发表的实验研究的结果，涉及液体固体流动相，等于天然岩浆系统。编译为LEPR/跟踪的数据将连接到Earthchem合成，以进行更广泛的访问，以支持建模和数据分析。 Sesar是样本元数据的独特存储库，可提供服务以使样品更可发现和可互操作。 Sesar将将其用户社区扩展到地球化学和地球科学之外。此外，Sesar的服务将转向用于样本注册的新的，独立的，多学科的基础架构，这是与生物学，基因组学和考古学的网络基础设施提供者分别资助的合作努力。 IEDA2还将大大增加与其服务的社区和用户的参与度，尤其是学生和早期研究人员（ECRS）。在线和面对面的研讨会，供研究人员和教育工作者学习使用IEDA2资源，这些资源将与科学教育资源中心SERC和全国地球科学教师协会（NAGT）合作运行和促进，旨在扩大数据设施的范围，同时招募并支持新的和多元化的Geoscientists。与纽约市城市学院，南达科他州矿山和奥格拉拉·拉科塔学院的学生，教育工作者和研究人员的活动将扩大参与数据科学的参与。将土著数据治理的护理原则整合到IEDA2中将支持在样本和样本数据中对这些道德规范的采用。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛的影响来通过评估来获得的支持。

项目成果

Community recommendations for geochemical data, services and analytical capabilities in the 21st century

21 世纪地球化学数据、服务和分析能力的社区建议

• DOI: 10.1016/j.gca.2023.04.024
• 发表时间: 2023
• 期刊: Geochimica et Cosmochimica Acta
• 影响因子: 5
• 作者: Klöcking, Marthe;Wyborn, Lesley;Lehnert, Kerstin A.;Ware, Bryant;Prent, Alexander M.;Profeta, Lucia;Kohlmann, Fabian;Noble, Wayne;Bruno, Ian;Lambart, Sarah
• 通讯作者: Lambart, Sarah

Scaling Identifiers and their Metadata to Gigascale: An Architecture to Tackle the Challenges of Volume and Variety

将标识符及其元数据扩展到千兆级：应对数量和多样性挑战的架构

• DOI: 10.5334/dsj-2023-005
• 发表时间: 2023
• 期刊: Data Science Journal
• 作者: Klump, Jens;Fils, Doug;Devaraju, Anusuriya;Ramdeen, Sarah;Robertson, Jess;Wyborn, Lesley;Lehnert, Kerstin
• 通讯作者: Lehnert, Kerstin