Fair interfaces for geospatial scientific data searches

Ranjeet Devarakonda, Kavya Guntupally, Michele Thornton, Yaxing Wei, Debjani Singh, Dalton Lunga

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Several factors must be considered in designing a highly accurate, reliable, scalable, and user-friendly geospatial data search interfaces. This paper examines four critical questions that ought to be considered during design phase: (1) Is the search interface or API that provides the search capability useable by both humans and machines? (2) Are the results consistent and reliable? (3) Is the output response format free to use, community-defined, and non-propriety? (4) Does the API clearly state the usage clauses? This paper discusses how certain data repositories at the US Department of Energy's Oak Ridge National Laboratory apply FAIR data principles to enable geospatial searches and address the above-mentioned questions.

Original languageEnglish
Title of host publicationProceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021
EditorsGabriele Cavallaro, Dora B. Heras, Dalton Lunga, Martin Werner, Andreas Zufle
PublisherAssociation for Computing Machinery, Inc
Pages1-4
Number of pages4
ISBN (Electronic)9781450391238
DOIs
StatePublished - Nov 2 2021
Event1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021 - Beijing, China
Duration: Nov 2 2021Nov 2 2021

Publication series

NameProceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021

Conference

Conference1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021
Country/TerritoryChina
CityBeijing
Period11/2/2111/2/21

Funding

The ARM project is supported by the Office of Biological and Environmental Research in the DOE Office of Science. The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) for Biogeochemical Dynamics is a NASA Earth Observing System Data and Information System (EOSDIS) data center managed by the Earth Science Data and Information System (ESDIS) Project. Oak Ridge National Laboratory is managed by UT-Battelle LLC for the US Department of Energy under contract DE-AC05-000R22725

FundersFunder number
U.S. Department of EnergyDE-AC05-000R22725
Office of Science
Biological and Environmental Research
Oak Ridge National Laboratory
UT-Battelle

    Keywords

    • Arm data center
    • Fair data principle for scientific data
    • Geospatial search interfaces
    • Ornl daac

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