DataNet Full Proposal: The Data Conservancy (A Digital Research and Curation Virtual Organization)

DataNet 完整提案：数据保护协会（数字研究和管理虚拟组织）

• 批准号: 0830976
• 负责人: Golam Choudhury
• 金额: $ 1999.97万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0830976&HistoricalAwards=false
• 关键词: DataNet; Full; Proposal; Data; Conservancy

AbstractThe Data Conservancy, A Digital Research and Curation Virtual ObservatoryPI: Sayeed Choudhury of Johns Hopkins UniversityJohns Hopkins University (JHU) will create The Data Conservancy (DC), which will research, design, implement, deploy and sustain data curation infrastructure for cross-disciplinary discovery, with an emphasis on observational data. The Data Conservancy project is led by Sayeed Choudhury, Associate Dean for University Libraries at JHU, which has a strong track record for leading the research library community in new directions. The Data Conservancy is creating a new model in which libraries regard digital data as a special collection that must be maintained and served like their other collections. Participating organizations include Cornell University, University of California Los Angeles (UCLA), the University of Illinois at Urbana-Champaign (UIUC), the National Center for Atmospheric Research (NCAR), University Corporation for Atmospheric Research (UCAR), Marine Biological Laboratory (Encyclopedia of Life), the National Snow and Ice Data Center (NSIDC), Space Telescope Science Institute, Fedora Commons, Portico, University of Queensland, and Tessella Support Services. Besides defining a new role for research libraries in curating and serving special collections of scientific digital data, expected contributions of the Data Conservancy include* Defining of new educational curricula an other opportunities in data curation; * User centered studies that will help the community and NSF better understand how scientists use, share, and preserve data now and what factors motivate them to or inhibit them from preserving and sharing data.Through collection, preservation and semantic integration of data that are now very difficult to assemble and analyze together, the project is also expected to have transformative impact on the ability of scientists to answer grand challenge questions that are as important to the nation and the world, such as three that relate to the production of greenhouse gases: * What are the current geographical and temporal distributions of the major pools and fluxes in the global carbon cycle? * What are the control and feedback mechanisms - both anthropogenic and non-anthropogenic - that determine the dynamics of the carbon cycle? * And what are the dynamics of the carbon-climate-human system into the future, and what points of intervention and windows of opportunity exist for human societies to manage this system?The Data Conservancy begins with data spanning anthropology, applied mathematics, astronomy, atmospheric sciences, chemistry, earth sciences, crop and soil sciences, ornithology, psychology, physics, theoretical and applied mechanics. International partnerships augment this initial collection. Evolutionary development of this collection will be guided by the user centered design process.

摘要数据保护，一个数字研究和管理虚拟观察站PI：约翰霍普金斯大学的Sayeed Choudhury约翰霍普金斯大学（JHU）将创建数据保护（DC），它将研究，设计，实施，部署和维护跨学科发现的数据管理基础设施，重点是观察数据。数据保护项目由JHU大学图书馆副院长Sayeed Choudhury领导，该项目在引领研究图书馆社区走向新方向方面有着良好的记录。数据保护协会正在创建一种新的模式，图书馆将数字数据视为一种特殊的收藏，必须像其他收藏一样进行维护和服务。参与组织包括康奈尔大学、加州大学洛杉矶分校（UCLA）、伊利诺伊大学厄巴纳-香槟分校（UIUC）、国家大气研究中心（NCAR）、大学大气研究公司（UCAR）、海洋生物实验室（生命百科全书），国家冰雪数据中心（NSIDC），太空望远镜科学研究所，Fedora Commons，Portico，昆士兰州大学和泰塞拉支持服务。除了定义研究图书馆在管理和服务科学数字数据的特殊收藏方面的新角色外，数据保护协会的预期贡献还包括：* 定义新的教育课程和数据管理的其他机会;* 以用户为中心的研究，这将有助于社区和NSF更好地了解科学家如何使用，共享，和保存数据，以及什么因素促使或抑制他们保存和共享数据。通过收集，保存和语义集成数据，现在很难组装和分析在一起，该项目还有望对科学家回答对国家和世界同样重要的重大挑战性问题的能力产生变革性影响，例如与温室气体产生有关的三个问题：* 全球碳循环中主要碳库和通量的当前地理和时间分布是什么？* 决定碳循环动态的控制和反馈机制是什么-包括人为的和非人为的？* 未来碳-气候-人类系统的动态是什么？人类社会管理这一系统的干预点和机会之窗是什么？数据保护从人类学、应用数学、天文学、大气科学、化学、地球科学、作物和土壤科学、鸟类学、心理学、物理学、理论和应用力学的数据开始。国际伙伴关系加强了这一初步收集。这个集合的进化发展将由以用户为中心的设计过程指导。