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Geodisy : An open-source spatial data discovery platform Barsky, Eugene; Goodwin, Mark; Dante, Paul
Description
Presentation for Dataverse Community Meeting 2020. With the increasing demand for geographic components in research, there is an opportunity for Dataverse and other research data repositories to provide alternatives to text-based searching. Enter Geodisy: an open-source spatial discovery platform for Canadian open research data that is designed to work with Dataverse. Initially funded by CANARIE, Geodisy’s online interface provides a map-based search that is available alongside Canada’s Federated Research Data Repository (FRDR). Users search for data based on its location and have the ability to preview datasets as overlays on a digital map and access comprehensive metadata. Data is currently sourced from Scholars Portal Dataverse, which houses open research data from forty Canadian institutions. Geodisy delivers increased discoverability and access to Scholars Portal data, while also driving traffic back to the original Dataverse records. The platform and the software behind it use both pre-existing and custom-made components, all of which are free and open-source. The code and pipeline setup instructions are freely available via our public Github repository, and other institutions are both welcome and encouraged to adopt their own instances of the software. Geodisy’s software can be used with any Dataverse repository. This work benefits all research disciplines that use geospatial location, from anthropology to zoology to climate science. The project’s next goal is to expand the interoperability of the software to include additional data sources, such as open governmental research datasets. In this session, we will share software architecture designs, Dataverse metadata mapping processes, and a demonstration of the platform. Recording available at https://youtu.be/Ufc7oXA6ZJg
Item Metadata
Title |
Geodisy : An open-source spatial data discovery platform
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Creator | |
Date Issued |
2020-06-18
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Description |
Presentation for Dataverse Community Meeting 2020. With the increasing demand for geographic components in research, there is an opportunity for Dataverse and other research data repositories to provide alternatives to text-based searching. Enter Geodisy: an open-source spatial discovery platform for Canadian open research data that is designed to work with Dataverse. Initially funded by CANARIE, Geodisy’s online interface provides a map-based search that is available alongside Canada’s Federated Research Data Repository (FRDR). Users search for data based on its location and have the ability to preview datasets as overlays on a digital map and access comprehensive metadata. Data is currently sourced from Scholars Portal Dataverse, which houses open research data from forty Canadian institutions. Geodisy delivers increased discoverability and access to Scholars Portal data, while also driving traffic back to the original Dataverse records.
The platform and the software behind it use both pre-existing and custom-made components, all of which are free and open-source. The code and pipeline setup instructions are freely available via our public Github repository, and other institutions are both welcome and encouraged to adopt their own instances of the software. Geodisy’s software can be used with any Dataverse repository.
This work benefits all research disciplines that use geospatial location, from anthropology to zoology to climate science. The project’s next goal is to expand the interoperability of the software to include additional data sources, such as open governmental research datasets. In this session, we will share software architecture designs, Dataverse metadata mapping processes, and a demonstration of the platform. Recording available at https://youtu.be/Ufc7oXA6ZJg
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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 |
10.14288/1.0394922
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty; Other
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International