Geospatial Metadata 2.0 – An approach for Volunteered Geographic Information

Kalantari, Mohsen; Rajabifard, Abbas; Olfat, Hamed; Williamson, Ian

doi:10.1016/j.compenvurbsys.2014.06.005

Cited by 27 publications

(20 citation statements)

References 13 publications

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“…In addition, metadata standards are only mentioned as an option on one site. Research into metadata for crowdsourced geographic information is required, which could build on work such as that undertaken in Reference [77]. Sites that use the data for research or assimilation into models, on the other hand, are strongly driven by data collection protocols.…”

Section: Discussionmentioning

confidence: 99%

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

See

Mooney

Foody

et al. 2016

IJGI

357

235

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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: Discussionmentioning

confidence: 99%

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

See

Mooney

Foody

et al. 2016

IJGI

357

235

View full text Add to dashboard Cite

show abstract

“…3. Occasionally, the verb "crowdsource" is being used naturally (Garrido and Faria 2012;Rana et al 2014;Kalantari et al 2014). Although the verb does not exist as such in the dictionary, it is a term frequently used to denote the action of using crowdsourcing.…”

Section: Regarding the Literature Review Resultsmentioning

confidence: 98%

Crowdsourcing Fundamentals: Definition and Typology

Estellés-Arolas

Navarro-Giner

González-Ladrón-de-Guevara

2015

Advances in Crowdsourcing

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Crowdsourcing is a problem-solving and task realization model that is being increasingly used. Thanks to the possibility of harnessing the collective intelligence from the Internet; thanks to the crowdsourcing initiatives people can, for example, find a solution to a complex chemical problem, get images tagged, or get a logo designed. Due to its success and usefulness, more and more researchers have focused their interest on this concept. This fact has shown that the concept of crowdsourcing has no clear boundaries, and although over time the concept has been better explained, some authors describe it differently, propose different types of crowdsourcing initiatives, or even use contradictory crowdsourcing examples. In this paper, an integrated definition and typology, developed in 2012, are analyzed to check whether they are still valid today or whether need a reformulation.

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“…However, metadata are often not available for VGI, which limits, to some extent, the use of these approaches. To overcome this difficulty, methodologies have already been proposed to create metadata for VGI (Kalantari et al, 2014).…”

Section: Quality Measures Specific To Vgimentioning

confidence: 99%

Assessing VGI Data Quality

Fonte

Antoniou

Bastin

et al. 2017

Mapping and the Citizen Sensor

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Uncertainty over the data quality of Volunteered Geographic Information (VGI) is the largest barrier to the use of this data source by National Mapping Agencies (NMAs) and other government bodies. A considerable body of literature exists that has examined the quality of VGI as well as proposed methods for quality assessment. The purpose of this chapter is to review current data quality indicators for geographic information as part of the ISO 19157 (2013) standard and how these have been used to evaluate the data quality of VGI in the past. These indicators include positional, thematic and temporal accuracy, completeness, logical consistency and usability. Additional indicators that have 138 Mapping and the Citizen Sensor been proposed for VGI are then presented and discussed. In the final section of the chapter, the idea of integrated indicators and workflows of quality assurance that combine many assessment methods into a filtering system is highlighted as one way forward to improve confidence in VGI.

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Geospatial Metadata 2.0 – An approach for Volunteered Geographic Information

Cited by 27 publications

References 13 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

Crowdsourcing Fundamentals: Definition and Typology

Assessing VGI Data Quality

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