Near Real Time Earth Science Data: Transforming a Mature Data Center

2004 ◽  
Author(s):  
Robert Benada ◽  
Andrew Bingham ◽  
Eric Rigor
Keyword(s):  
Real Time ◽  
Data Center ◽  
Earth Science ◽  
Science Data ◽  
Earth Science Data ◽  
Data Transforming

scholarly journals IMPLEMENTING THE GROUP ON EARTH OBSERVATIONS DATA MANAGEMENT PRINCIPLES: OBSERVATIONS OF A SCIENTIFIC DATA CENTER

2017 ◽  
Vol XLII-3/W2 ◽  
pp. 51-55
Author(s):  
R. R. Downs
Keyword(s):  
Data Management ◽  
Data Center ◽  
Management Practices ◽  
Earth Science ◽  
Scientific Data ◽  
Geospatial Data ◽  
Data Repository ◽  
Science Data ◽  
Earth Observations ◽  
Earth Science Data

The Group on Earth Observations (GEO) Data Management Principles (DMP) provide direction for managing geospatial data and related information products and services. Offering opportunities for enabling discovery, accessibility, usability, preservation, and curation, the GEO DMP challenge repositories, such as scientific archives and data centers, to improve practices that foster the use of Earth science data today and in the future. In addition, the Data Management Principles Implementation Guidelines (IG) offer many practical suggestions for implementing the DMP with examples that can inform the consideration of options for improving geospatial data management practices. Implementing such improvements offers value to the users of geospatial data by enabling data providers to support the use of the data products and services that they disseminate. Adopting these improvements also can assist repositories in their efforts to meet the requirements for attaining data repository certification, which offers value for repositories and their stakeholders. This article shows how repositories can improve data management practices for geospatial data by adopting the GEO DMP, with examples drawn from a scientific data center. Current and future opportunities for improving data management practices to attain data repository certification also are described along with practical approaches that repositories can adopt in the short term.

scholarly journals Toward a Collective Agenda on AI for Earth Science Data Analysis

2021 ◽  
Vol 9 (2) ◽  
pp. 88-104
Author(s):  
Devis Tuia ◽  
Ribana Roscher ◽  
Jan Dirk Wegner ◽  
Nathan Jacobs ◽  
Xiaoxiang Zhu ◽  
...  
Keyword(s):  
Data Analysis ◽  
Earth Science ◽  
Science Data ◽  
Earth Science Data

scholarly journals Giovanni: The Bridge Between Data and Science

Eos ◽  
2017 ◽  
Author(s):  
Zhong Liu ◽  
James Acker
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Earth Science ◽  
Remote Sensing Data ◽  
Data Sets ◽  
Science Data ◽  
Web Based ◽  
Sensing Data ◽  
Daunting Task ◽  
Earth Science Data

Using satellite remote sensing data sets can be a daunting task. Giovanni, a Web-based tool, facilitates access, visualization, and exploration for many of NASA’s Earth science data sets.

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