According to opendatasoft.org, there are currently more than 2.000 open data portals which can be used by data users. Nevertheless, authorities around the world discuss on the way to engage their users with their own open data portals and also they want to know how to improve re-usability of available information through those portals.  Moreover, a lot of cities have their own open data portal which provides geographic data that can be used even by citizens.  For a long time, one of the main authorities’ concern was to set up and populate open data portals with web services.  In a few cases, data quality is not taken into account for open data initiatives. Very often data quality is set as the main concern with large data catalogs that follow most of the current standards.

However, the current challenge is not just data download or published web services, but it is about data consumer requirements, their needs, engagement and about finding the way to involve them to be a part of the data selection process.

Re-usability and discoverability are one of the frequent topic discussions in events on open data and geographic standards. Several talks have been presented about data user’s engagement mechanisms, tools to improve available information, re-usability, and some use cases to link data consumers with open data portals.

But there are still rooms to improve the usability of geographic information. For instance, what is the usefulness level of available published geographic information in cities’ open data portals? Are cities effectively using these available services to promote transparency, collaboration, and entrepreneurship? What strategy can improve re-usability and discoverability level of published geographic information in open data portals?

An interesting topic in the decision-making process is to understand the crime or accidents patterns in cities. Here, the usefulness of open data is bringing up because street crimes or accidents data are constricted to the street network of cities, therefore it is not appropriate to assume them as a point pattern in two-dimensional space. The aim is to provide an appropriate open dataset and then apply a new method to understand the events occurred on linear networks. Evidently, we will show how appropriate open dataset brings proper results to understand the city and then do better decision-making process. We point out that the decision-making process is not only about looking for data, it is also about using information in a right way.

The aforementioned concerns play the main role of the workshop and will be answered by using open discussions, related position papers, and spatial point process analysis.