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Geodisy project - geospatial data discovery for Canada Wilson, Lee; Barsky, Eugene 2019-06-19

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494-Wilson_et al_Geodisy_CANHEIT_2019.pdf [ 1.73MB ]
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Geodisy project - geospatial data discovery for CanadaFUNDED BY CANARIE (RDM-059)Lee Wilson, Portage/ACENETEugene Barsky, University of British ColumbiaCANHEIT-TECC 2019, WinnipegJune 2019What is Portage?The Portage Network is a national initiative of the Canadian Association of Research Libraries (CARL), with the goal of building research data management (RDM) capacity in Canada through a network of experts in a growing community of practice.NETWORK OF EXPERTISE● Pan-Canadian RDM expertise with over 115 in-kind experts● Contribute to development of RDM resources, tools, training, and policyINFRASTRUCTURE PLATFORMS● Working with library consortia, institutions, and other infrastructure partners to develop & deploy essential RDM infrastructure and service components3FRDR: A Collaborative EffortA collaboration among libraries, institutions, and federal organizations, involving many stakeholders across the RDM & ARC spheres● Partnership between Compute Canada and the Canadian Association of Research Libraries’ Portage Network● Hosted on Compute Canada hardware and infrastructure, with CC providing development and technical support● Service operated by Portage, including curation and data management support, with steering and input from CARL, the Network of Expertise, and individual institutionsFederated Research Data Repository (FRDR)Main Features:‘Big Data’ upload/downloadMaintains file hierarchiesScalable storageNational Repository OptionDiscover Canadian Research DataCurrently in Limited Production Regional/InstitutionalRepositoriesDiscipline-specific RepositoriesResearch data&metadataDeposit&DownloadResearchersRepository StorageActive StorageBIG dataCanadian Data Repository Landscape Regional/InstitutionalRepositoriesDiscipline-specific RepositoriesResearch data&metadataDeposit&DownloadResearchersRepository StorageActive StorageBIG dataFRDR Discovery ServiceDiscover Canadian Research Data● FRDR indexes data repositories across Canada to make research data held in many repositories discoverable from a single platform● Bilingual user interface for search and discovery● Indexing 40+ repositories; 90,000 metadata recordsGoals:● Supplement existing repository sites ● Improve discovery of research data across Canada● Break down repository siloing Discover Canadian Research Data10GEODISY: GEOSPATIAL DISCOVERYWE AIM FOR CANADIAN RESEARCH DATA TO BE SEARCHED, FILTERED, AND BROWSED USING GEOGRAPHIC LOCATIONS (AS WELL AS WITH TEXT). ● Search results are driven by an interactive map● Location is the primary search facet, linking resources from a similar area● Relies less on textual searching, which is not ideal for spatial data11GEODISY: GEOSPATIAL DISCOVERYWhy use it?● Data can be difficult to find! When searching for data about a particular place, keywords can be hit or miss. Geodisy will show you where, in addition to what.● Geodisy will benefit any research area that has use for location-based discovery, including climate change, community development, public health, conservation, and many more.12GEODISY: GEOSPATIAL DISCOVERYGeospatial discovery is possible using location descriptions and metadata● Geospatial data = machine readable using a GIS● Non-geospatial data = discovery comes from descriptive metadata*● Bounding boxes = rectangles representing the spatial extent of a data set*to generate bounding boxes from non-geospatial data we are using 13GEODISY: GEOSPATIAL DISCOVERYGeodisy (re-)uses 3 open-source software components● Dataverse: Research data repository +● GeoServer: Server for publishing and distributing geospatial data+● GeoBlacklight: Geospatial discovery layer*Geodisy source code and documentation is available in github - GEOSPATIAL DISCOVERY* Icons by Mani Cheng from the Noun Project15GEODISY: GEOSPATIAL DISCOVERYProject pipeline (in steps):1. Software will query datasets from the Scholars Portal Dataverses (and later fromUAlberta, Dal, UNB, UManitoba, etc.) to determine which have geospatial information2. Software will harvest metadata from relevant non-geospatial datasets3. Software will harvest metadata and data files from geospatial datasets4. Software will transform metadata to more universal standard (ISO 19115) and add bounding boxes if needed5. Software will deposit geospatial data and “geo”metadata into Geoserver6. Metadata will be harvested by GeoBlacklight for discovery7. GeoBlacklight will be customized to the needs of FRDR (Federated Research Data Repository), providing a unified map-based search interface for research data in Canada16GEODISY: GEOSPATIAL DISCOVERYReminder:● For the initial step, for March 2020, Geodisy is funded to work with Canadian Dataverses only...17GEODISY: GEOSPATIAL DISCOVERY (EXPECTED UI – example from NYU)18GEODISY: GEOSPATIAL DISCOVERY (EXPECTED UI – NYU)19GEODISY: GEOSPATIAL DISCOVERYCORE PROJECT TEAM  (UBC) • Eugene Barsky – Principal Investigator• Paul Dante – Software Developer • Mark Goodwin – Geospatial Metadata Coordinator• Tang Lee – Project Manager• Paul Lesack – Co-Principal Investigator• Evan Thornberry – Co-Principal InvestigatorPROJECT PARTNERS• Lee Wilson – Portage Network• Jason Brodeur – McMaster University• Marcel Fortin – University of Toronto• Alex Garnett – SFU • Amber Leahey – Scholars Portal• Jason Hlady – University of Saskatchewan• Venkat Mahadevan – UBC ARC• Todd Trann – University of SaskatchewanLaunching in spring 202020GEODISY: GEOSPATIAL DISCOVERYKeep up to date:#Geodisy on social media Email: Thank you!


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