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: 1928366
• 负责人: Simon Goring
• 金额: $ 61.66万
• 依托单位: University of Wisconsin-Madison
• 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 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1928366&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.

联邦政府资助的研究的长期可持续性取决于数据的发现、可访问性和重用。 然而，数据和研究产品通常存储在不同的位置。这使得查找和集成相关数据变得具有挑战性。该项目有助于支持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。研究将有办法链接数据资源、添加上下文或提供有关数据、软件和出版物的附加信息。 研究人员使用该系统创建注释，使用唯一标识符链接资源。 随着时间的推移，这些链接连接起来创建一个数据资源网络。该项目将支持底层数据库、用于访问和发现的用户界面以及许多文档工具和研讨会的开发，以帮助支持吞吐量数据库的持续开发和可持续性。该项目的更广泛影响包括参与早期职业研究人员以及更好地共享地球科学中的数据和其他研究产品。提高数据、元数据和服务的可发现性是整个地球科学领域的共同需求。地球科学研究中增加“科学时间”的一个障碍是跨子领域整合个人观察、概念、数据模型和统计技术的困难。吞吐量注释引擎 (TAE) 通过提供多个入口点来访问、注释数据并与数据交互，并将代码、数据、出版物或其他元素相互链接，从而为管理跨学科工作流程的挑战提供了一种解决方案。 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，并为数据管理员提供一定程度的灵活性来决定如何管理新信息：是否将注释中的信息合并到其数据模型中，或者访问并使用吞吐量 API 报告注释。 Throughput 通过提供一种跟踪一系列出版物和在线资源的使用和实施的机制来提高数据、软件和文档的可信度，并将提供一套基于 FORCE11 建议的新引文工具。 TAE 中的链接注释支持生成标准出版指标之外的研究基础设施指标。该食谱将允许个人和社区识别编程工作流程，并将其链接到社区数据资源。 Cookbook 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，为参与文档和工作流程开发的个人提供访问权限。 Throughput 提供了一种以用户为中心的解决方案，以加深和致密由科学家、数据、软件服务、期刊和资助者组成的新兴链接数据生态系统中许多节点之间的联系。该奖项反映了 NSF 的法定使命，并通过评估被认为值得支持利用基金会的智力优势和更广泛的影响审查标准。