OpenStreetMap (OSM) is probably the widest and most known crowdsourced database of geospatial information. Its data have the potential to be harnessed to address a variety of scientific and policy questions, from urban planning to demographic studies, environmental monitoring, energy simulations and many others.
Understanding the structure and the variety of content in OSM can enable researchers and policymakers to use it as a relevant dataset for their specific objectives.
Moreover, familiarity with tools and services for filtering and extracting data per geographic area or topic can empower users to tailor OSM data to meet their unique needs. Additionally, learning to contribute new data to OSM enriches the database and fosters a collaborative environment that supports ongoing geospatial research and community engagement both for researchers themselves and also in interactions with stakeholders and citizens. By actively participating in the OSM community, geoscientists can ensure that the data remains current and relevant, ultimately enhancing the impact of their work in addressing pressing environmental and societal challenges.
The short course will begin with an introduction to the concepts and content of OpenStreetMap, followed by a brief review of services and tools for filtering, extracting, and downloading data. Participants will engage in hands-on activities to contribute new data directly, along with hints and tips on how to understand and evaluate the pros and cons of its open and collaborative foundational principles.