- By:
- Devarakonda, Ranjeet ; Guntupally, Kavya ; Thornton, Michele M; Wei, Yaxing ; Singh, Debjani ; Lunga, Wadzanai D
- Page Number:
- 1-4
- Book Title:
- GeoSearch '21
- Publication Date:
- November 12, 2021
- Publisher Location:
- ACM, New York, United States of America
- Conference Name:
- 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2021)
- Conference Location:
- Beijing, China
- Conference Sponsor:
- ACM SIGSPATIAL
- View DOI Listing:
- https://doi.org/10.1145/3486640.3491391
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.
