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

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-10-01 至 2016-09-30

项目摘要

项目成果

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中文摘要
翻译
大规模数据支持的科学合作的成功取决于开发高质量,有用和可用的标准,以实现数据共享和重用。虽然跨学科合作继续激增,但数据和元数据的社区标准制定过程仍然是网络基础设施发展的瓶颈。 基于社区的标准制定虚拟组织对于网络基础设施的成功至关重要,但人们对这些组织内数据标准的谈判和实例化知之甚少。该项目将对基因组科学中开放参与的社区标准组织进行为期三年的定性研究,以调查他们如何管理不同的利益相关者利益,以开发和部署社区标准。大规模的科学合作对于回答对国家决策和科学进步至关重要的复杂研究问题是必要的。 正在进行大量投资,建设使用先进计算资源支持协作科学的网络基础设施。这些网络基础设施的成功取决于制定高质量、有用和可用的标准,以实现数据共享和再利用。该项目将为基因组学领域和其他具有类似数据共享要求的领域提供有效标准制定流程的指导。
英文摘要
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.
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会议论文
CHS: Large: Collaborative Research: Pervasive Data Ethics for Computational Research
  • 批准号:
    1704598
  • 项目类别:
    Standard Grant
  • 资助金额:
    $41.54万
  • 财政年份:
    2017
  • 负责人:
    Matthew Bietz
  • 依托单位:
海外基金