Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice

Elwood, Sarah; Goodchild, Michael F.; Sui, Daniel Z.

doi:10.1080/00045608.2011.595657

Cited by 707 publications

(364 citation statements)

References 61 publications

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“…J. Geo-Inf. 2016, 5, 55 3 of 23 were added, which were then evaluated using a much broader set of criteria than used in Reference [15]. These include: the thematic area in which the initiative fell (Section 3.1); the nature of the spatial data collected (Section 3.2); the level of expertise and training needed (Section 3.3); access to the data and metadata (Section 3.4); measures of quality assurance and use of the data in research (Section 3.5); information about the participants (Section 3.6) and what incentives there were for participation (Section 3.7).…”

Section: Definitionsmentioning

confidence: 99%

Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information

See

Mooney

Foody

et al. 2016

IJGI

332

225

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Citizens are increasingly becoming an important source of geographic information, sometimes entering domains that had until recently been the exclusive realm of authoritative agencies. This activity has a very diverse character as it can, amongst other things, be active or passive, involve spatial or aspatial data and the data provided can be variable in terms of key attributes such as format, description and quality. Unsurprisingly, therefore, there are a variety of terms used to describe data arising from citizens. In this article, the expressions used to describe citizen sensing of geographic information are reviewed and their use over time explored, prior to categorizing them and highlighting key issues in the current state of the subject. The latter involved a review of 100 Internet sites with particular focus on their thematic topic, the nature of the data and issues such as incentives for contributors. This review suggests that most sites involve active rather than passive contribution, with citizens typically motivated by the desire to aid a worthy cause, often receiving little training. As such, this article provides a snapshot of the role of citizens in crowdsourcing geographic information and a guide to the current status of this rapidly emerging and evolving subject.

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Section: Definitionsmentioning

confidence: 99%

Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information

See

Mooney

Foody

et al. 2016

IJGI

332

225

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“…Although the quality of VGI data might not be clear, in emergency situations, such as forest fires, where we have no official data, using volunteered data with quality vagueness is better than waiting for better data to arrive [41]. The most significant advantage of VGI is that they can be up-to-date in less time than traditional data, so for the projects that have time limitations, such as updating the streets of a city in few weeks, the local citizens are the best source to collect data and update information about the streets [42].…”

Section: Top-down Dissemination Of Results and Gaps Between Knowledgementioning

confidence: 99%

Critical Data Source; Tool or Even Infrastructure? Challenges of Geographic Information Systems and Remote Sensing for Disaster Risk Governance

Fekete

Tzavella

Armaş

et al. 2015

IJGI

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Disaster risk information is spatial in nature and Geographic Information Systems (GIS) and Remote Sensing (RS) play an important key role by the services they provide to OPEN ACCESS ISPRS Int. J. Geo-Inf. 2015, 4 1849 society. In this context, to risk management and governance, in general, and to civil protection, specifically (termed differently in many countries, and includes, for instance: civil contingencies in the UK, homeland security in the USA, disaster risk reduction at the UN level). The main impetus of this article is to summarize key contributions and challenges in utilizing and accepting GIS and RS methods and data for disaster risk governance, which includes public bodies, but also risk managers in industry and practitioners in search and rescue organizations. The article analyzes certain method developments, such as vulnerability indicators, crowdsourcing, and emerging concepts, such as Volunteered Geographic Information, but also investigates the potential of the topic Critical Infrastructure as it could be applied on spatial assets and GIS and RS itself. Intended to stimulate research on new and emerging fields, this article's main contribution is to move spatial research toward a more reflective stance where opportunities and challenges are equally and transparently addressed in order to gain more scientific quality. As a conclusion, GIS and RS can play a pivotal role not just in delivering data but also in connecting and analyzing data in a more integrative, holistic way.

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“…Several authors have captured and articulated this dynamic. In addition to Sui et al (2013) and many of the chapters in their book, we recommend Elwood (2010) 106 and Elwood et al (2012) 107 for the way that the authors analyze and synthesize technological, cultural, and social aspects of geocrowdsourcing.…”

Section: Conclusion and Future Prospects For Crowdsourced Geospatialmentioning

confidence: 99%

Social Moderation and Dynamic Elements in Crowdsourced Geospatial Data: A Report on Quality Assessment, Dynamic Extensions and Mobile Device Engagement in the George Mason University Geocrowdsourcing Testbed

Rice¹,

Curtin²,

Pfoser³

et al. 2015

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A A r re ep po or rt t o on n q qu ua al li it ty y a as ss se es ss sm me en nt t, , d dy yn na am mi ic c e ex xt te en ns si io on ns s, , a an nd d m mo ob bi il le e d de ev vi ic ce e e en ng ga ag ge em me en nt t i in n t th he e G Ge eo or rg ge e M Ma as so on n U Un ni iv ve er rs si it ty y G Ge eo oc cr ro ow wd ds so ou ur rc ci in ng g T Te es st tb be ed AbstractThis report documents the development of the George Mason University Geocrowdsourcing Testbed (GMU-GcT), whose purpose is to provide a platform for studying the dynamics, limitations, and best practices of geocrowdsourcing. We present a comprehensive study of the social moderation process in the GMU-GcT and the quality parameters of information in the GMU-GcT. We present an analysis of device-based positioning in mobile geocrowdsourcing, and use the study and our analysis as a context for dynamic application extensions of the GMU-GcT in the areas of field-based obstacle moderation, obstacle interaction, and accessible routing.

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Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice

Cited by 707 publications

References 61 publications

Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information

Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information

Critical Data Source; Tool or Even Infrastructure? Challenges of Geographic Information Systems and Remote Sensing for Disaster Risk Governance

Social Moderation and Dynamic Elements in Crowdsourced Geospatial Data: A Report on Quality Assessment, Dynamic Extensions and Mobile Device Engagement in the George Mason University Geocrowdsourcing Testbed

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