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Geodisy : Geospatial Discovery for Canadian Research Data Dante, Paul; Goodwin, Mark; Barsky, Eugene; Lee, Tang; Thornberry, Evan; Lesack, Paul

Description

Presentation for BCNET 2019. Usually, research data repositories, both general and discipline-focused, feature text-based searching. However, there is increasing demand for geographic components in research, examples of which include migration paths, the distribution of agricultural yields, infrared satellite imagery, the distribution of artifacts in an archaeological site, and the flow routes of water. The goal of the Geodisy project is to create an extensible, open-source software method to search and discover Canadian geospatial research data using an interface specifically designed for maps, enabling users to discover geospatial resources in a more spatially-intuitive way. This project is funded by CANARIE and is expected to be delivered in 2020. In this session, we will share the software architecture designs and our progress so far towards normalizing various metadata models and standards into clean and discoverable geospatial metadata.

Item Metadata

Title
Geodisy : Geospatial Discovery for Canadian Research Data
Creator
Dante, Paul; Goodwin, Mark; Barsky, Eugene; Lee, Tang; Thornberry, Evan; Lesack, Paul
Date Issued
2019-04
Description
Presentation for BCNET 2019. Usually, research data repositories, both general and discipline-focused, feature text-based searching. However, there is increasing demand for geographic components in research, examples of which include migration paths, the distribution of agricultural yields, infrared satellite imagery, the distribution of artifacts in an archaeological site, and the flow routes of water. The goal of the Geodisy project is to create an extensible, open-source software method to search and discover Canadian geospatial research data using an interface specifically designed for maps, enabling users to discover geospatial resources in a more spatially-intuitive way. This project is funded by CANARIE and is expected to be delivered in 2020. In this session, we will share the software architecture designs and our progress so far towards normalizing various metadata models and standards into clean and discoverable geospatial metadata.
Subject
Geospatial; Research Data Management; Data Curation; GIS
Genre
Presentation
Type
Text
Language
eng
Date Available
2019-04-16
Provider
Vancouver : University of British Columbia Library
Rights
Attribution-NonCommercial-ShareAlike 4.0 International
DOI
10.14288/1.0378255
URI
http://hdl.handle.net/2429/69716
Affiliation
Library, UBC
Peer Review Status
Unreviewed
Scholarly Level
Faculty
Rights URI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Aggregated Source Repository
DSpace

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Rights

Attribution-NonCommercial-ShareAlike 4.0 International