Geo-Crowdsourcing: Open Street Map workflow
Source |
The learning materials of this training module have been developed within the context of an online course delivered on FormaSIG (a learning platform based on moodle), with the objective to provide a deep knowledge about OSM Data (OpenStreetMap Data) and how to deal with this geospatial crowdsourcing repository.. |
Ownership |
Author: SIGTE - Universitat de Girona, CC-BY-NC-ND. |
Abstract |
"OpenStreetMap is built by a community of mappers that contribute and maintain data about roads, trails, cafes, railway stations, and much more, all over the world. (OSM, 2015)". OSM is a collaborative project to create and provide free geographic data worldwide. This initiative is a reference along the collaborative mapping projects where people around the world contribute to create a free geographic database of the planet earth. The training module seeks to highlight the OSM wokflow: starting with the capture and acquisition of geographical information, to editing and publishing the data. The overall objective of this training module is to provide a general knowledge about a collaborative mapping project and its main applications. Getting a good knowledge about the tools and techniques to acquire and create new data, and how to contribute this data to the project is also a general objective of this training module. There are also some secondary objectives to achieve:
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Structure |
The training module consists of 4 main units or topics: Part 1: Introduction to OSM Part 2: Working with OSM Part 3: Data capture and Data maintenance Part 4: OSM data work flow |
Learning outcomes |
When completing this module, the learner is expected:
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Intended Audience |
This training module is intended for users that want to use OSM data for its own projects, and contribute back data to the collaborative mapping project. |
Pre-requisites |
No previous knowledge is required. |
Language |
Spanish, English. |
Format |
PDF documents, presentations, webinars. This training module is a self-learning module. |
Expected workload |
20 hours |