EarthCube Data Capabilities: Collaborative Proposal: Reducing Time-To-Science in the Earth Sciences: Annotations to foster convergence, inclusion, and credit

EarthCube 数据功能：协作提案：缩短地球科学的科学时间：促进融合、包容和信用的注释

• 批准号: 1928341
• 负责人: Stephen Kuehn
• 金额: $ 14.94万
• 依托单位: Concord University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1928341&HistoricalAwards=false
• 关键词: EarthCube; Data; Capabilities; Collaborative; Proposal

The long term sustainability of federally funded research depends on the discovery, accessibility and reuse of data. However, data and research products are often stored in different locations. This makes it challenging to find and integrate related data. This project helps support the discovery of related but distributed research products for Earth science and natural history data. Researches will have a way to link data resources, add context, or provide additional information about data, software and publications. Researchers use this system to create annotations that link resources using unique identifiers. Over time, these links connect to create a network of data resources. This project will support the development of the underlying database, a user interface for access and discovery, and a number of documentation tools and workshops to help support the ongoing development and sustainability of the Throughput database.The broader impacts of this project include the engagement of early career researchers and the better sharing of data and other research products in the Earth sciences.Improved discoverability of data, metadata and services is a need shared across the geosciences. A barrier that increases "time-to-science" in Earth Science research is the difficulty of integrating individual observations, concepts, data models, and statistical techniques across subfields. The Throughput Annotation Engine (TAE) offers a solution to the challenge of managing interdisciplinary workflows by providing multiple points of entry to access, annotate and interact with data, and to link code, data, publications, or other elements to one another. The TAE will support adoption as part of a system of systems, linking outside users to data repositories, and providing data stewards a degree of flexibility in deciding how to manage new information: whether to incorporate information in annotations into their data models, or to access and report annotations using the Throughput API. Throughput improves credit for data, software and documentation by providing a mechanism to track use and implementation across a range of publications and online resources, and will provide a new set of citation tools based on FORCE11 recommendations. Linked annotations in the TAE support the generation of metrics for research infrastructure beyond standard publication metrics. The Cookbook will allow individuals and communities to identify programmatic workflows, and link them to community data resources. The Cookbook will provide researchers with access to community best-practices, and, by leveraging ORCID user credentials, to individuals engaged in the development of documentation and workflows. Throughput offers a user-centered solution to deepening and densifying connections among the many nodes in the emerging linked data ecosystem of scientists, data, software services, journals, and funders.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.

联邦资助研究的长期可持续性取决于数据的发现，可访问性和重复使用。 但是，数据和研究产品通常存储在不同的位置。这使查找和集成相关数据具有挑战性。该项目有助于支持针对地球科学和自然历史数据的相关但分布式研究产品的发现。研究将有一种链接数据资源，添加上下文或提供有关数据，软件和出版物的其他信息的方法。 研究人员使用此系统来创建注释，以使用唯一标识符链接资源。 随着时间的流逝，这些链接连接以创建数据资源网络。该项目将支持基础数据库的开发，用于访问和发现的用户界面以及许多文档工具和研讨会，以帮助支持吞吐量数据库的持续发展和可持续性。该项目的更广泛影响包括早期职业研究人员的参与，包括对地球科学中的数据和其他研究产品的更好分享。在地球科学研究中增加“科学时间”的障碍是将各个子领域的个人观察，概念，数据模型和统计技术整合在一起的困难。吞吐量注释引擎（TAE）通过提供多个访问，注释和与数据互动，以及将代码，数据，出版物或其他元素互相链接，将跨学科工作流的挑战提供了解决方案。 TAE将支持采用作为系统系统的一部分，将外部用户链接到数据存储库，并提供数据管理员在决定如何管理新信息时具有一定程度的灵活性：是将信息纳入注释中的数据模型，还是使用吞吐量API访问和报告注释。吞吐量通过提供在一系列出版物和在线资源中跟踪和实施的机制来改善数据，软件和文档的信用，并将根据Force11建议提供一套新的引用工具。 TAE的链接注释支持超出标准出版物指标的研究基础设施的指标。该食谱将允许个人和社区识别程序化工作流，并将其链接到社区数据资源。该食谱将为研究人员提供社区最佳实践的访问权限，并通过利用OrcID用户凭证来访问从事文档和工作流程开发的个人。吞吐量提供了一种以用户为中心的解决方案，可在新兴链接的科学家数据生态系统，数据，软件服务，期刊和资助者的链接数据生态系统中加深和致密的连接。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广泛的影响来评估CRETERIA的评估。

项目成果

Implementing community best practice data and metadata capture into laboratory workflows using Sparrow

使用 Sparrow 将社区最佳实践数据和元数据捕获实施到实验室工作流程中

• 发表时间: 2022
• 期刊: EarthCube Annual Meeting 2022
• 作者: Kuehn, S.C.

An Update and Implementations of the Community-Driven Best Practices Recommendations for Tephra Studies—From Collection Through Analysis

社区驱动的 Tephra 研究最佳实践建议的更新和实施——从收集到分析

• 发表时间: 2021
• 期刊: AGU Fall Meeting 2021
• 作者: Wallace, K.L

Tephra Fusion 2022 workshop focused on best practices in tephra data recommends innovative computer solutions to build databases

Tephra Fusion 2022 研讨会重点关注 tephra 数据的最佳实践，推荐用于构建数据库的创新计算机解决方案

• 发表时间: 2022
• 期刊: EarthCube Annual Meeting 2022
• 作者: Wallace, K.L.