期刊
IEEE ACCESS
卷 8, 期 -, 页码 138088-138101出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.3012054
关键词
Earth; geographic information systems; geospatial analysis; lakes; market research; oceans; requirements engineering; rivers; sea surface; technical requirements; system of systems
资金
- Jet Propulsion Laboratory, California Institute of Technology
- National Aeronautics and Space Administration (NASA) [80NM0018D0004]
The NASA open data policy and the increases in data volume from recent and future missions have resulted in a need to re-evaluate data archive information systems and services. For example, the Surface Water Ocean Topography mission (SWOT) will produce similar to 15 TB of data every day that needs to be freely and openly accessible through the NASA Physical Oceanography Distribute Active Archive Center (PO.DAAC). Because of the computational, and distribution challenges associated with making such volumes of Earth Observation data publicly available, the NASA Earth Science Data Information System (ESDIS) is moving their archive systems, like PO.DAAC, to the cloud. To facilitate this migration, system requirements need to accommodate expected use. As such, the objective of this study was to assesses expected user needs and develop a quantitative framework that can be traced to requirements for the cloud-based data archive system architecture and services that enable data discovery, access and utility. We used a two-tier data gathering method that included a short survey of potential users (identified at professional meetings and community listservs) and in-depth interviews. The survey provided a means for scaling findings from the in-depth interviews to a more representative sample, thus enabling assessment of expected impact to various user communities for different services that could be provided. This framework enables traceability for setting priorities for data services development to requirements for a cloud-based data archive system and services that enable data discovery, access and utility.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据