DFG, SPP 1894/1 – Volunteered Geographic Information




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.

23.04.2018 22:18
A taxonomy of quality assessment methods for volunteered and crowdsourced geographic information

The growing use of crowdsourced geographic information (CGI) has prompted the employment of several methods for assessing information quality, which are aimed at addressing concerns on the lack of quality of the information provided by non‐experts. In a recently published work, we propose a taxonomy of methods for assessing the quality of CGI when no [...]

27.01.2018 14:53
ECSA Webinar on #citizenscience for monitoring urban landscape dynamics with GIScience Heidelberg

Join the next ECSA webinar on “Citizen Science for monitoring urban landscape dynamics”! The European Citizen Science Association (ECSA) will host a webinar on the topic of “Citizen Science for monitoring urban landscape dynamics”. The webinar will include two talks: Assessing urban green space in Vienna (by Gebhard Banko and Barbara Birli from the Austrian Environmental [...]

10.08.2017 08:56
HeiGIT/GIScience Heidelberg partnership with Humanitarian OpenStreetMap Team (HOT)

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 [...]

28.06.2017 13:04
Are Crowdsourced Datasets Suitable for Specialized Routing Services? Case Study of OpenStreetMap for Routing of People with Limited Mobility

Using data generated from the crowd has become a hot topic for several application domains including transportation. However, there are concerns regarding the quality of such datasets. As one of the most important crowdsourced mapping platforms, in a recent study (1) we analyze the fitness for use of OpenStreetMap (OSM) database for routing and navigation [...]

31.05.2017 11:47
Overview Article on Online Participation in Geoinformation Technology, esp. OpenStreetMap

An invited introductive overview article on “Online Participation in Geoinformation Technology” with a specific focus on OpenStreetMap has been published in the special issue “Online Participation” of the German language journal “Praxis der Wirtschaftsinformatik”. It gives some introduction and selected examples of potential usages of OSM data. Griesbaum, L., Eckle, M., Herfort, B., Raifer, M., Zipf, [...]

17.05.2017 09:04
Paper on OSMlanduse.org at AGIT

The programme of the AGIT Symposium 2017 in Salzburg is online now and it includes a first paper about the work at GIScience Heidelberg on OSMlanduse.org. It will be presented 6 July in the afternoon at AGIT Salzburg. The talk is entitled “OSMLanduse Version 1″ while the full titel of the paper is: Voß, J., M. Auer, [...]

23.03.2017 23:39
Towards evaluating the mobile crowdsourcing of geographic information about human settlements

Geographic information crowdsourcing is an increasingly popular approach to derive geographic data about human settlements from remotely sensed imagery. However, crowdsourcing approaches are frequently associated with uncertainty about the quality of the information produced. Although previous studies have found acceptable quality of crowdsourced information in some application domains, there is still lack of research about [...]

12.03.2017 10:45
A Framework of Quality Assessment Methods for Crowdsourced Geographic Information: a Systematic Literature Review

Crowdsourced Geographic Information (CGI) has emerged as a potential source of geographic information for different domains. Despite advantages associated with it, such information lacks quality assurance, since it is provided by different individuals. Several authors have investigated different approaches to assess CGI quality. Some of the existing methods have been summarized in different classification schemas. [...]

28.02.2017 09:31
3rd CFP: Journal Special Issue “VGI Analytics” in Geo-Spatial Information Science and AGILE workshop

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 [...]

25.01.2017 21:19
2nd Call for full Journal and Workshop Papers on VGI_Analytics (AGILE2017) Deadline March 15

VGI-Analytics 2017 is the 4th workshop in a series of AGILE pre-conference workshops 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 [...]

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