Metrics: A Synoptic Analysis of User Data and Service Usage at GES DISC
Abstract
The NASA Goddard Earth Sciences Data and Information Service Center (GES DISC) has provided massive Earth science data, information, and services to diverse research communities and general publics for decades. How to genuinely maintain our overall data and service quality, as well as continually improve serving our users (such as research scientists, applications scientists, general publics, and students) with better data services have always been our primary goal. A synoptic metric analysis involving the data and service usages by our diverse user communities at GES DISC that should help us better understand our overall data services, as well as further improve them has therefore been performed. The results of this metrics analysis, along with its purpose, which will be presented at the meeting can be genuinely categorized into the "Five Ws and One H" concept, seemingly cliché, yet by all means pertinent and useful. * What: Metrics involving our archived and served data products addressing useful info's such as "volume of data in archive"; "number of granules in archive"; "volume of data distributed"; "number of granules distributed"; "number of distinct users"; and "relative data usage". a) Remote Sensing: GPM/TRMM, AIRS, OCO-2, etc. b) Modeling: MERRA-2/MERRA, NLDAS, GLDAS, etc. c) Projects: MEaSUREs-2006, MEaSUREs-2012, etc. * Why: The goal: a synoptic (overall) metric analysis should help us better understand and learn from our overall user and data services so that we may further improve them accordingly. * When: Metrics for data during the past decade or longer. Trends or/and usages for specific seasons (e.g., summer or holidays) may also be studied. * Where: Maps showing users from global, continents, countries, and specific area of interests. * Who: Users from various domains/backgrounds: .gov, .edu, .com, .org, anonymous, countries. * How: Data download or service usage via HTTP, FTP, Giovanni, etc.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFMIN23C1784S
- Keywords:
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- 1912 Data management;
- preservation;
- rescue;
- INFORMATICSDE: 1934 International collaboration;
- INFORMATICSDE: 1936 Interoperability;
- INFORMATICSDE: 6620 Science policy;
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