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GES DISC Datalist Improves Earth Science Data Discoverability
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Author and Affiliation:
Li, A.(NASA Goddard Space Flight Center, Greenbelt, MD, United States)
Teng, W.(Adnet Systems, Inc., Greenbelt, MD, United States)
Hegde, M.(Adnet Systems, Inc., Greenbelt, MD, United States)
Petrenko, M.(Adnet Systems, Inc., Greenbelt, MD, United States)
Shen, S.(George Mason Univ., Greenbelt, MD, United States)
Shie, C.(Maryland Univ. Baltimore County, Baltimore, MD, United States)
Liu, Z.(George Mason Univ., Greenbelt, MD, United States)
Hearty, T.(SGT, Inc., Greenbelt, MD, United States)
Bryant, K.(Adnet Systems, Inc., Greenbelt, MD, United States)
Vollmer, B.(NASA Goddard Space Flight Center, Greenbelt, MD, United States) Show more authors
Abstract: At American Geophysical Union(AGU) 2016 Fall Meeting, Goddard Earth Sciences Data Information Services Center (GES DISC) unveiled a novel way to access data: Datalist. Currently, datalist is a collection of predefined data variables from one or more archived datasets, curated by our subject matter expert (SME). Our science support team has curated a predefined Hurricane Datalist and received very positive feedback from the user community. Datalist uses the same architecture our new website uses and have the same look and feel as other datasets on our web site. and also provides a one-stop shopping for data, metadata, citation, documentation, visualization and other available services. Since the last AGU Meeting, we have further developed a few new datalists corresponding to the Big Earth Data Initiative (BEDI) Societal Benefit Areas and A-Train data. We now have four datalists: Hurricane, Wind Energy, Greenhouse Gas and A-Train. We have also started working with our User Working Group members to create their favorite datalists and working with other DAAC to explore the possibility to include their products in our datalists that may also lead to a future of potential federated (cross-DAAC) datalists. Since our datalist prototype effort was a success, we are planning to make datalist operational. It's extremely important to have a common metadata model to support datalist, this will also be the foundation of federated datalist. We mapped our datalist metadata model to the unpublished UMM(Universal Metadata Model)-Var (Variable) (June version) and found that the UMM-var together with UMM-C (Collection) and possible UMM-S (Service) will meet our basic requirements. For example: Dataset shortname, and version are already specified in UMM-C, variable name, long name, units, dimensions are all specified in UMM-Var. UMM-Var also facilitates Science Keywords to allow tagging at variable level and Characteristics for optional variable characteristics. Measurements is useful for grouping of the variables and Set is promising to define datalist. And finally, the UMM-Service model to specify the available services for the variable will be very beneficial. In summary, UMM-Var, UMM-C and UMM-S are the basis of federated datalist and the development and deployment of datalist will contribute to the evolution of the UMM.
Publication Date: Dec 11, 2017
Document ID:
20170012177
(Acquired Jan 03, 2018)
Subject Category: COMPUTER PROGRAMMING AND SOFTWARE; EARTH RESOURCES AND REMOTE SENSING
Report/Patent Number: IN21B-0039, GSFC-E-DAA-TN50523
Document Type: Oral/Visual Presentation
Meeting Information: AGU Fall Meeting; 11-15 Dec. 2017; New Orleans, LA; United States
Meeting Sponsor: American Geophysical Union; Washington, DC, United States
Contract/Grant/Task Num: 80GSFC17C0003; NNX15AK27A; NNX15AT34A
Financial Sponsor: NASA Goddard Space Flight Center; Greenbelt, MD, United States
Organization Source: NASA Goddard Space Flight Center; Greenbelt, MD, United States
Description: 1p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright; Public use permitted
NASA Terms: METADATA; INFORMATION SYSTEMS; EARTH SCIENCES; WEBSITES; DATA SYSTEMS; PROTOTYPES; POSITIVE FEEDBACK; SCIENTIFIC VISUALIZATION; HURRICANES; DATA BASES; WINDPOWER UTILIZATION; GREENHOUSE EFFECT; COMPUTER PROGRAMS
Other Descriptors: DATALIST; EARTH SCIENCE; DISCOVERABILIT
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