A framework for measuring the fitness for purpose of OpenStreetMap data based on intrinsic quality indicators
The OpenStreetMap data in selected regions is normally evaluated by comparing with commercial or authority data, before it will be used for in a project in different application domains. However, there are three problems with this kind of so-called extrinsic quality assessment. Firstly, the results cannot directly answer the question about whether the OSM data is good enough for a certain purpose, because the extrinsic quality indicators are designed as standard to indicate an overall level of the quality. Secondly, the results may not be able to reflect the true quality of OSM data, because the existing tools (as those described by ISO) are not inclusive enough or appropriate to eloquently evaluate OSM data, because the nature of OSM, as a project of VGI, is fundamentally different to what geospatial experts have dealt with so far. Thirdly, the reference data is often not available due to contradictory licensing restrictions or high procurement costs.
In this project, we attempt to develop a framework that provides in a systematic way the methods and measures to evaluate the fitness for purpose of OSM data. A main objective is that this shall also be usable when there is no (authority) reference data for comparison is available, in order to make it applicable in a wide range of situations and extending the traditional approaches on spatial data quality evaluations based on comparison with other data sets. For this one sub-objective is to define systematically a taxonomy for different types of usage of OSM data in different application domains that includes the relevant indications and advises of: (i) what kind of information is required? (ii) what is the data quality requirements? (iii) which quality indicators can be used to evaluate the OSM data to be used? (iv) how can the quality indicators be calculated without using reference data? and (v) how creditable is the evaluation of the fitness for purpose? The framework is going to serve as procedure guidelines when using OSM data in projects in application domains such as urban planning, routing & navigation, disaster management, marketing, geocoding, map application, etc.
To achieve this, an intensive study in the history data of OSM (OSM-Full-History-Dump) will be carried out based on the existing experiences available in practices and literatures, in order to analyse the nature characteristics of OSM, derive the factors which can influence OSM data quality, and parse them hierarchically and quantitatively. On this base, existing intrinsic quality indicators will be adjusted and improved, and new intrinsic indicators will be introduced.
The main contribution of this project is the so far most exhaustive systematic identification and connection among intrinsic and extrinsic quality indicators and measurements to a large number of application domains. The framework developed in this project shall have wide applicability or be generalizable for using any kind of VGI data in the defined application domains. Moreover, the method of developing the framework can be deployed for further application domains in case similar VGI data is used.
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We are happy to hereby announce the official partnership of the HeiGIT/GIScience Research Group Heidelberg and the Humanitarian OpenStreetMap Team (HOT)! The GIScience Research Group at Heidelberg University has been supporting the use of OpenStreetMap for humanitarian and disaster management purposes already since 2008 when the first instance of the Disaster and Emergency OpenRouteService was developed [...]
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VGI-Analytics 2017 Volunteered Geographic Information (VGI) and social media data have become part of our everyday lives over the past few years. Whereas in the early beginnings of crowd-sourced data the collection occurred primarily to isolated, individual platforms, contribution patterns are now beginning to be more intertwined between different platforms, both [...]
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