科技报告详细信息
NASA's Earth Observing Data and Information System - Near-Term Challenges
Behnke, Jeanne ; Mitchell, Andrew ; Ramapriyan, Hampapuram
关键词: DATA BASES;    DATA STORAGE;    DATA SYSTEMS;    EOS DATA AND INFORMATION SYSTEM;    INFORMATION SYSTEMS;    METADATA;    ATMOSPHERIC COMPOSITION;    DOCUMENTS;    EARTH SCIENCES;    FEEDBACK;    MANAGEMENT SYSTEMS;   
RP-ID  :  GSFC-E-DAA-TN55994
美国|英语
来源: NASA Technical Reports Server
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【 摘 要 】

NASA's Earth Observing System Data and Information System (EOSDIS) has been a central component of the NASA Earth observation program since the 1990's. EOSDIS manages data covering a wide range of Earth science disciplines including cryosphere, land cover change, polar processes, field campaigns, ocean surface, digital elevation, atmosphere dynamics and composition, and inter-disciplinary research, and many others. One of the key components of EOSDIS is a set of twelve discipline-based Distributed Active Archive Centers (DAACs) distributed across the United States. Managed by NASA's Earth Science Data and Information System (ESDIS) Project at Goddard Space Flight Center, these DAACs serve over 3 million users globally. The ESDIS Project provides the infrastructure support for EOSDIS, which includes other components such as the Science Investigator-led Processing systems (SIPS), common metadata and metrics management systems, specialized network systems, standards management, and centralized support for use of commercial cloud capabilities. Given the long-term requirements, and the rapid pace of information technology and changing expectations of the user community, EOSDIS has evolved continually over the past three decades. However, many challenges remain. Challenges addressed in this paper include: growing volume and variety, achieving consistency across a diverse set of data producers, managing information about a large number of datasets, migration to a cloud computing environment, optimizing data discovery and access, incorporating user feedback from a diverse community, keeping metadata updated as data collections grow and age, and ensuring that all the content needed for understanding datasets by future users is identified and preserved.

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