A Data Consortium: Coming Together Around Data

数据联盟：围绕数据聚集在一起

• 批准号: 1238168
• 负责人: Beth Plale
• 金额: $ 9.82万
• 依托单位: Indiana University
• 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: 2012-06-01 至 2013-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1238168&HistoricalAwards=false
• 关键词: Data; Consortium; Coming; Together; Around

If properly realized, the data deluge will be a catalyst for new scientific discovery that fuels advances in grand challenge questions such as climate and social-ecological interactions. While federal agencies such as the National Science Foundation have invested very successfully in repositories, infrastructure, and tools for data-intensive science, investing in data solutions is not the same as investing in high performance computing resources because unlike general purpose compute facilities where the facility can be separated from the use, it is difficult to separate data from its semantics, so general purpose solutions only address part of the problem, and a small part at that. Recognizing the opportunities that could be realized through stronger integrated efforts, NSF is encouraging a path towards coordinated efforts that result in satisfying the needs of a broader constituency that strives for interoperability, harmonization of concepts, protocols, and standards nationally and internationally. This proposal is a small but fundamental next step towards building an organization with lasting and significant impact on the broader community engaged in 4th paradigm research and education.

如果正确认识到这一点，数据洪流将成为新科学发现的催化剂，推动气候和社会生态相互作用等重大挑战问题的进展。虽然像美国国家科学基金会这样的联邦机构在数据密集型科学的存储库、基础设施和工具方面进行了非常成功的投资，但投资数据解决方案与投资高性能计算资源并不相同，因为与通用计算设施不同，通用计算设施可以将设施与使用分开，很难将数据与其语义分开，因此，通用的解决方案只能解决问题的一部分，而且是一小部分。NSF认识到通过更强有力的综合努力可以实现的机会，鼓励走上协调努力的道路，从而满足更广泛的支持者的需求，这些支持者致力于在国内和国际上实现互操作性、概念、协议和标准的协调。这个提议是一个小但基本的下一步，旨在建立一个对从事第四范式研究和教育的更广泛社区产生持久和重大影响的组织。