Collaborative Research: CSSI: Framework: Data: Clowder Open Source Customizable Research Data Management, Plus-Plus

协作研究：CSSI：框架：数据：Clowder 开源可定制研究数据管理，Plus-Plus

• 批准号: 1835834
• 负责人: Kenton McHenry
• 金额: $ 375.2万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1835834&HistoricalAwards=false
• 关键词: Collaborative; Research; CSSI; Framework; Data

Preserving, sharing, navigating, and reusing large and diverse collections of data is now essential to scientific discoveries in areas such as phenomics, materials science, geoscience, and urban science. These data navigation needs are also important when addressing the growing number of research areas where data and tools must span multiple domains. To support these needs effectively, new methods are required that simplify and reduce the amount of effort needed by researchers to find and utilize data, support community accepted data practices, and bring together the breadth of standards, tools, and resources utilized by a community. Clowder, an active curation based data management system, addresses these needs and challenges by distributing much of the data curation overhead throughout the lifecycle of the data, augmenting this with social curation and automated analysis tools, and providing extensible community-dependent means of viewing and navigating data. As an open source framework, built to be extensible at every level, Clowder is capable of interacting with and utilizing a variety of community tools while also supporting different data governance and ownership requirements.The project enhances Clowder's core systems for the benefit of a larger group of users. It increases the level of interoperability with community resources, hardens the core software, and distributes core software development, while continuing to expand usage. Governance mechanisms and a business model are established to make Clowder sustainable, creating an appropriate governance structure to ensure that the software continues to be available, supportable, and usable. The effort engages a number of stakeholders, taking data from diverse but converging scientific domains already using the Clowder framework, to address broad interoperability and cross domain data sharing. The overall effort will transition the grassroots Clowder user community and Clowder's other stakeholders (such as current and potential developers) into a larger organized community, with a sustainable software resource supporting convergent research data needs.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.

保存、共享、导航和重用大量多样的数据现在对于表型组学、材料科学、地球科学和城市科学等领域的科学发现至关重要。在解决越来越多的数据和工具必须跨越多个领域的研究领域时，这些数据导航需求也很重要。为了有效地满足这些需求，需要新的方法来简化和减少研究人员查找和利用数据所需的工作量，支持社区接受的数据实践，并将社区使用的标准、工具和资源的广度整合在一起。 Clowder 是一种基于主动管理的数据管理系统，它通过在数据的整个生命周期中分配大部分数据管理开销、通过社交管理和自动分析工具来增强这一点，并提供可扩展的、依赖于社区的数据查看和导航方式来解决这些需求和挑战。作为一个开源框架，Clowder 构建为可在各个级别进行扩展，能够与各种社区工具进行交互并利用各种社区工具，同时还支持不同的数据治理和所有权要求。该项目增强了 Clowder 的核心系统，以造福于更大的用户群体。它提高了与社区资源的互操作性水平，强化了核心软件，并分发了核心软件开发，同时继续扩大了使用范围。 建立治理机制和业务模型是为了使 Clowder 可持续发展，创建适当的治理结构以确保软件持续可用、可支持和可用。 这项工作涉及许多利益相关者，从已经使用 Clowder 框架的不同但融合的科学领域获取数据，以解决广泛的互操作性和跨领域数据共享问题。整体努力将把草根 Clowder 用户社区和 Clowder 的其他利益相关者（例如当前和潜在的开发人员）转变为一个更大的有组织的社区，并提供可持续的软件资源来支持融合研究数据需求。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Latency-Aware 360-Degree Video Analytics Framework for First Responders Situational Awareness

用于急救人员态势感知的延迟感知 360 度视频分析框架

• DOI: 10.1145/3592473.3592568
• 发表时间: 2023
• 期刊: MMSys '23: Proceedings of the 14th ACM Multimedia Systems Conference
• 作者: Li, Jiaxi;Liao, Jingwei;Chen, Bo;Nguyen, Anh;Tiwari, Aditi;Zhou, Qian;Yan, Zhisheng;Nahrstedt, Klara
• 通讯作者: Nahrstedt, Klara