Fair interfaces for geospatial scientific data searches

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

doi:10.1145/3486640.3491391

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 proceeding › Conference contribution › peer-review

3 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 language	English
Title of host publication	Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021
Editors	Gabriele Cavallaro, Dora B. Heras, Dalton Lunga, Martin Werner, Andreas Zufle
Publisher	Association for Computing Machinery, Inc
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781450391238
DOIs	https://doi.org/10.1145/3486640.3491391
State	Published - Nov 2 2021
Event	1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021 - Beijing, China Duration: Nov 2 2021 → Nov 2 2021

Publication series

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

Conference

Conference	1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021
Country/Territory	China
City	Beijing
Period	11/2/21 → 11/2/21

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

Keywords

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

Access to Document

10.1145/3486640.3491391

Cite this

Devarakonda, R., Guntupally, K., Thornton, M., Wei, Y., Singh, D., & Lunga, D. (2021). Fair interfaces for geospatial scientific data searches. In G. Cavallaro, D. B. Heras, D. Lunga, M. Werner, & A. Zufle (Eds.), Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021 (pp. 1-4). (Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021). Association for Computing Machinery, Inc. https://doi.org/10.1145/3486640.3491391

Devarakonda, Ranjeet ; Guntupally, Kavya ; Thornton, Michele et al. / Fair interfaces for geospatial scientific data searches. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021. editor / Gabriele Cavallaro ; Dora B. Heras ; Dalton Lunga ; Martin Werner ; Andreas Zufle. Association for Computing Machinery, Inc, 2021. pp. 1-4 (Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021).

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title = "Fair interfaces for geospatial scientific data searches",

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.",

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author = "Ranjeet Devarakonda and Kavya Guntupally and Michele Thornton and Yaxing Wei and Debjani Singh and Dalton Lunga",

note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021 ; Conference date: 02-11-2021 Through 02-11-2021",

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doi = "10.1145/3486640.3491391",

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Devarakonda, R, Guntupally, K, Thornton, M, Wei, Y, Singh, D & Lunga, D 2021, Fair interfaces for geospatial scientific data searches. in G Cavallaro, DB Heras, D Lunga, M Werner & A Zufle (eds), Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021, Association for Computing Machinery, Inc, pp. 1-4, 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021, Beijing, China, 11/2/21. https://doi.org/10.1145/3486640.3491391

Fair interfaces for geospatial scientific data searches. / Devarakonda, Ranjeet; Guntupally, Kavya; Thornton, Michele et al.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021. ed. / Gabriele Cavallaro; Dora B. Heras; Dalton Lunga; Martin Werner; Andreas Zufle. Association for Computing Machinery, Inc, 2021. p. 1-4 (Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Devarakonda R, Guntupally K, Thornton M, Wei Y, Singh D , Lunga D. Fair interfaces for geospatial scientific data searches. In Cavallaro G, Heras DB, Lunga D, Werner M, Zufle A, editors, Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021. Association for Computing Machinery, Inc. 2021. p. 1-4. (Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021). doi: 10.1145/3486640.3491391

Fair interfaces for geospatial scientific data searches

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