Abstract
Metrics are measures that are able to produce quantifiable information. There are many applications of metrics in Earth science data and services; for example, metrics are frequently used to track service performance and progress. In short, developing, collecting and analyzing metrics are essential activities to better support Earth science research, applications, and education. As one of the largest repositories of Earth science data in the world, NASA’s Earth Science Data and Information System (ESDIS) Project supports twelve Distributed Active Archive Centers (DAACs). Standard metrics have been developed by the ESDIS Metrics System (EMS). These metrics are collected and analyzed routinely at each DAAC. As it is expected that the total data volume will continue to grow rapidly, and the timely developed technologies (e.g., cloud computing, AI/ML) will continue to improve data discovery and accessibility, opportunities for developing new data services for the Earth science community will also arise, especially in interdisciplinary research and applications. However, developing such metrics has become a challenge because multiple datasets are often needed. Current metrics are designed for a single predefined dataset or service, a disadvantage for collecting metrics for interdisciplinary data services. In this paper, we assess current metrics using one of the NASA DAACs, the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), as an example, to discuss challenges and opportunities, along with recommendations for developing metrics addressing interdisciplinary satellite data products and services. <strong>Highlights</strong> <ul><li>Overview of NASA GES DISC Earth science datasets and services</li><li>Overview of existing metrics collection methods and analysis tools with examples</li><li>Discuss challenges and opportunities in collecting metrics for Earth science interdisciplinary data and services</li></ul>
Highlights
Data Science JournalMetrics are measures that are able to produce quantifiable information
We use one of the Distributed Active Archive Centers (DAACs), the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) (NASA GES DISC 2021), as an example to assess the current status of metrics
The ESDIS Metrics System (EMS) standards have been a good example to ensure the interoperability in metrics among DAACs, which is a model for integrating, enhancing, and developing new metrics
Summary
Metrics are measures that are able to produce quantifiable information. There are many applications of metrics, ranging from monitoring data system performance to benchmarking. The operational distribution metrics recording overall user data/service access and download activities for the following three major groupings: i) Number of Distinct or Registered Users ii) Number of Distributed Data Files iii) Size of Distributed Data Volume in four categories: Country (e.g., United States, Canada), Protocol (e.g., HTTPS, OPeNDAP), Project (e.g., TRMM/GPM, MERRA-2) and Domain (e.g., ‘.edu’, ‘.gov’). Data services for the Earth science community will arise Developing such metrics has become a challenge, because in this era multiple datasets are often needed. We use one of the DAACs, the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) (NASA GES DISC 2021), as an example to assess the current status of metrics. The structure of the paper is as follows: Section 2 overviews existing datasets and services for collecting metrics; Section 3 lists current metrics, collection methods and operations, along with examples; Section 4 discusses current issues and future needs for new metrics; and Section 5 provides the summary and recommendations
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