TY - GEN
T1 - Assessing a central satellite data repository and its usage statistics
AU - Han, Weiguo
AU - Jochum, Matthew
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/31
Y1 - 2018/10/31
N2 - STAR Central Data Repository (SCDR) collects a large volume of real-time and near real-time satellite data to improve data management and facilitate research and development activities across the organization. How to track and showcase the usage of this system using formal metrics is still challenging, and is very useful and helpful to better manage data, monitor system status, evaluate program output, and plan future infrastructure. This paper proposes design and implementation of a metrics analysis system to collect metrics information on user data requests, manage and organize request information, and represent metrics information in an intuitive and interactive manner. The system offers detailed information on satellite data product requests from users on various hosts and robust capabilities of generating insight charts and periodical report.
AB - STAR Central Data Repository (SCDR) collects a large volume of real-time and near real-time satellite data to improve data management and facilitate research and development activities across the organization. How to track and showcase the usage of this system using formal metrics is still challenging, and is very useful and helpful to better manage data, monitor system status, evaluate program output, and plan future infrastructure. This paper proposes design and implementation of a metrics analysis system to collect metrics information on user data requests, manage and organize request information, and represent metrics information in an intuitive and interactive manner. The system offers detailed information on satellite data product requests from users on various hosts and robust capabilities of generating insight charts and periodical report.
KW - Central data repository
KW - Metrics analysis
KW - Satellite data management
KW - Usage statistics
UR - https://www.scopus.com/pages/publications/85064180248
U2 - 10.1109/IGARSS.2018.8519346
DO - 10.1109/IGARSS.2018.8519346
M3 - Conference contribution
AN - SCOPUS:85064180248
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 6528
EP - 6531
BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Y2 - 22 July 2018 through 27 July 2018
ER -