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Location

London, Ontario

Website

https://gis.colostate.edu/about/staff/

Start Date

16-11-2021 11:00 AM

End Date

16-11-2021 12:00 PM

Description

As the open data movement continues to gain traction, research communities need systems that allow not only online data discovery, but also their exploration and reuse. The ability to view, combine, and interact with data online prior to download helps to assess data suitability, subset data as needed, and pipe data into existing analyses systems; to streamline data gathering and research efforts. With a focus on geospatial data, the developed open-source software makes this possible. It is designed for academic libraries to harmonize research data across platforms and provide researches with a consistent interface to access data. This open-source software leverages existing technologies to facilitate harvesting, curation, and ingestion of these data.

Comments

Peoples Choice Award Winner

SRT file available upon request, contact the GIS team via https://guides.lib.uwo.ca/gis/support.

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

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Nov 16th, 11:00 AM Nov 16th, 12:00 PM

Open-source software for Geospatial Data Discovery, Exploration and Reuse, Demonstration (20 min)

London, Ontario

As the open data movement continues to gain traction, research communities need systems that allow not only online data discovery, but also their exploration and reuse. The ability to view, combine, and interact with data online prior to download helps to assess data suitability, subset data as needed, and pipe data into existing analyses systems; to streamline data gathering and research efforts. With a focus on geospatial data, the developed open-source software makes this possible. It is designed for academic libraries to harmonize research data across platforms and provide researches with a consistent interface to access data. This open-source software leverages existing technologies to facilitate harvesting, curation, and ingestion of these data.

https://ir.lib.uwo.ca/wlgisday/2021/demonstrations/4