QGreenland curates Greenland-focused data ready for research and analysis. The QGreenland data package represents only a small portion of available data, much of which requires specialized skills to handle. The goal of this workshop is to equip researchers with the necessary skills to evaluate data quality, standards-compliance, and develop best practices for open-science geospatial workflows which enable use with QGreenland.

Participants will work in small groups to engage in discussion on open-science practices and tools like JupyterLab and GitHub, work through several data-based exercises focused on gaining first-hand experience making data ready for analysis, and develop practices for collaboration.

This workshop is aimed primarily at graduate level or higher researchers interested in answering questions about Greenland using geospatial data. Basic knowledge of QGIS and experience using QGreenland are assumed.

Benefits of participation

• $250 stipend for successful completion of workshop
• Gain skills to make data QGreenland-friendly and standards compliant
• A portfolio of Jupyter Notebooks on GitHub demonstrating skills developed during the workshop
• Extend your network of researchers answering questions about Greenland

Is this workshop for me?

• Do you want to learn more about geospatial data and metadata standards and practices?
• Do you want to be able to produce new datasets and modify existing datasets to maximize usability in GIS tools (for example, with QGreenland)?

If you answer to these questions is yes, than this workshop is for YOU!

About QGreenland

QGreenland is a free, Greenland-focused data-viewing environment for QGIS that supports research, education, decision-making, and collaboration. QGreenland is a U.S. National Science Foundation EarthCube-funded effort (award #1928393). For more information, visit https://qgreenland.org.

Application details

Deadline to apply is April 3, 2023. Decisions will be made the week of April 10, 2023.