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Geodisy : A New Way to Discover Canadian Research Data Barsky, Eugene; Goodwin, Mark; Dante, Paul; Stathis, Kelly
Description
Presentation for ACCESS 2020. With the increasing demand for geographic components in research, there is an opportunity for research data repositories to provide alternatives to text-based discovery. Meet Geodisy: an open-source spatial discovery platform for Canadian open research data. Initially funded by CANARIE and now in partnership with Portage, Geodisy provides a map-based search that is available alongside Canada’s Federated Research Data Repository (FRDR). Data is discoverable based on its location, and users have the ability to preview datasets as overlays on a digital map and access standardized metadata. Data is currently sourced from Scholars Portal Dataverse, which houses open research data from over forty Canadian institutions. The project’s next goal is to expand the interoperability of the tool to include additional data sources, including Canadian governmental open research data. For any research that relates to geospatial location, this work provides a new and useful form of data discovery. In this presentation, we will share software architecture, metadata processes, and a demonstration of the platform. Recording available at https://youtu.be/1lrk_2x6xA8
Item Metadata
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Geodisy : A New Way to Discover Canadian Research Data
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Creator | |
Contributor | |
Date Issued |
2020-10-22
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Description |
Presentation for ACCESS 2020. With the increasing demand for geographic components in research, there is an opportunity for research data repositories to provide alternatives to text-based discovery. Meet Geodisy: an open-source spatial discovery platform for Canadian open research data. Initially funded by CANARIE and now in partnership with Portage, Geodisy provides a map-based search that is available alongside Canada’s Federated Research Data Repository (FRDR). Data is discoverable based on its location, and users have the ability to preview datasets as overlays on a digital map and access standardized metadata. Data is currently sourced from Scholars Portal Dataverse, which houses open research data from over forty Canadian institutions. The project’s next goal is to expand the interoperability of the tool to include additional data sources, including Canadian governmental open research data. For any research that relates to geospatial location, this work provides a new and useful form of data discovery. In this presentation, we will share software architecture, metadata processes, and a demonstration of the platform. Recording available at https://youtu.be/1lrk_2x6xA8
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Language |
eng
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Date Available |
2020-11-06
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0394923
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Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty; Other
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DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International