NSDI:巴别塔渴望通用语

B. Bhaduri, Brandt Melick, C. Yang, Kevin Montgomery, P. Hogan
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引用次数: 0

摘要

在所有用户之间共享地理数据的一致手段可以大大节省数据收集和使用的费用,并加强决策。12906号行政命令要求建立国家空间数据基础设施(NSDI),将其定义为促进各级政府、私营和非营利部门以及学术界地理空间数据共享所需的技术、政策和人员。该基础设施的目标是减少各机构之间的重复工作,提高地理信息的质量并降低与地理信息相关的成本,使公众更容易获得地理数据,增加使用现有数据的好处,并与州、县、市、部落民族、学术界和私营部门建立关键伙伴关系,以增加数据的可用性。一个由州、联邦、学术界和空间数据行业专家组成的小组将带领一场关于“数据无处不在,但还不够思考”的空间时代生存问题的自由讨论。1. 成千上万的KML/SHP等。空间数据文件就在那里。你怎么找到你想要的?2. 仅仅是查看气候数据就需要大量的数据分析,更不用说进行研究了。如何分散计算负载?3.每个州和全国各地的每个地方政府实体都需要类似的数据管理工具,以及访问类似的数据集。我们如何使自己远离重复的GIS解决方案,并愉快地利用更大的社区?4. 鉴于自然灾害是地球生命不可避免的一部分,无论是地震、森林火灾还是风暴活动,我们如何优化对天气预报、气候研究和灾害管理至关重要的大量数据集(即NetCDF)的访问?请和我们一起集思广益,以更明智的方式来保护这个珍贵的星球。
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NSDI: Tower of Babel aspiring to lingua franca
Consistent means to share geographic data among all users could produce significant savings for data collection and use and enhance decision making. Executive Order 12906 calls for the establishment of the National Spatial Data Infrastructure (NSDI) defined as the technologies, policies, and people necessary to promote sharing of geospatial data throughout all levels of government, the private and nonprofit sectors, and the academic community. The goal of this Infrastructure is to reduce duplication of effort among agencies, improve quality and reduce costs related to geographic information, make geographic data more accessible to the public, increase the benefits of using available data, and establish key partnerships with states, counties, cities, tribal nations, academia and the private sector to increase data availability. A panel of state, federal, academia and industry experts in spatial data will lead a free-wheeling discussion regarding survival in the spatial age with "data, data everywhere and yet not enough to think." 1. Hundreds of thousands of KML/SHP/etc. spatial data files are out there. How do you find the ones you want? 2. Computation-heavy data analysis is needed just to see climate data, much more do research with. How do you spread that computation load around? 3. Each local government entity throughout each state and across the nation are in need of similar data management tools, as well as access to similar datasets. How do we route ourselves away from duplicative GIS solutions and happily harness the larger community? 4. Given that natural disasters are an inevitable part of life on Earth, be they earthquakes, forest fires or storm activity, how do we optimize access to the considerable datasets (i.e., NetCDF) essential for weather forecasting, climate research and disaster management? Please join us in brainstorming smarter ways for a precious planet to do business.
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