VOSS: Virtual Standards Development Organizations: Enhancing Interoperability in Data-Intensive Science

VOSS：虚拟标准开发组织：增强数据密集型科学的互操作性

• 批准号: 1221908
• 负责人: Matthew Bietz
• 金额: $ 22.82万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1221908&HistoricalAwards=false
• 关键词: VOSS; Virtual; Standards; Development; Organizations

The success of large-scale data-enabled scientific collaboration depends upon the development of high-quality, useful and usable standards to enable data sharing and reuse. While interdisciplinary collaborations continue to proliferate, the process of community standards development for data and metadata remains a bottleneck in cyberinfrastructure development. Community-based standards development virtual organizations are vitally important for the success of cyberinfrastructure, but little is known about the negotiations and instantiations of data standards within these organizations. This project will undertake a three-year qualitative study of open-participation community standards organizations in the genomic sciences to investigate how they manage diverse stakeholder interests to develop and deploy community standards. Large-scale scientific collaboration is necessary to answer complex research questions that are crucial for national policy-making and scientific progress. Significant investments are being made in building cyberinfrastructure that uses advanced computational resources to support collaborative science. The success of these cyberinfrastructures depends upon the development of high-quality, useful and usable standards to enable data sharing and reuse. This project will provide guidance in effective standards development processes to the genomics field and others with similar data sharing requirements.

大规模数据支持的科学合作的成功取决于发展高质量，有用且可用的标准，以实现数据共享和重复使用。尽管跨学科的合作继续扩散，但数据和元数据的社区标准发展过程仍然是网络基础设施发展中的瓶颈。 基于社区的标准发展虚拟组织对于网络基础设施的成功至关重要，但是对这些组织中数据标准的谈判和实例知之甚少。该项目将对基因组科学的开放参与社区标准组织进行三年定性研究，以调查他们如何管理各种利益相关者利益以制定和部署社区标准。大规模的科学合作对于回答复杂的研究问题是必不可少的，这些研究问题对于国家政策制定和科学进步至关重要。 在建立使用高级计算资源来支持协作科学的网络基础设施方面正在进行大量投资。这些网络基础设施的成功取决于发展高质量，有用和可用标准的发展，以实现数据共享和重用。该项目将为基因组学领域以及具有相似数据共享要求的其他有效标准开发过程提供指导。