Quality assessment in Volunteered Geographic Information for Risk Management applications

Hatimi, Badr El; Oulidi, Hassane Jarar; Fadil, Abdelhamid

doi:10.1109/morgeo49228.2020.9121919

Cited by 2 publications

(3 citation statements)

References 20 publications

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“…El Hatimi et al (2020) focus on the quality assessment of VGI in the context of risk management applications. It addresses the challenges of verifying the accuracy and reliability of VGI, proposing methodologies to ensure the quality of data used in managing various risks, especially in crisis scenarios.…”

Section: Related Workmentioning

confidence: 99%

Process Analysis in Humanitarian Voluntary Geographic Information: the case of the HOT Tasking Manager

Herrera-Murillo,

Ochoa-Ortiz,

Ahmed

et al. 2024

AGILE GIScience Ser.

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Abstract. Geographic information is vital for organising humanitarian campaigns and helping those in need. The leading Humanitarian OpenStreetMap Team (HOT) organises projects to create the necessary geographical information and connect to the organisations that need to make decisions on the ground. This work provides insights into project management dynamics and volunteers’ interaction with user interfaces in Volunteered Geographic Information (VGI) in a humanitarian context. We do so by conducting a process analysis of 746 completed, fully validated, and archived projects in the HOT Tasking Manager (HOT-TM) over the past two years. The analysis encompasses a process discovery stage from the perspectives of control flow, time, organisation, and outcome of the mapping tasks that comprise a project. The findings offer valuable implications for future project planning and execution in similar contexts. Our process mining exploration of the task states found a clear path that involves mapping and validation operations with minor deviations. However, we did find a major bottleneck from the mapping to the validation phase, which could reflect that validation capabilities are a scarce resource. Proactive notification for validators, artificial intelligence adoption for task planning, user interface redesign, and strategies for better harnessing the collective intelligence of volunteers could improve the process.

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Section: Related Workmentioning

confidence: 99%

Process Analysis in Humanitarian Voluntary Geographic Information: the case of the HOT Tasking Manager

Herrera-Murillo,

Ochoa-Ortiz,

Ahmed

et al. 2024

AGILE GIScience Ser.

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“…In terms of thematic accuracy, there is a lack of clear product standards and user characteristics, which leads to a thematic heterogeneity. Finally, completeness is also important because the location of the major users and the socioeconomic backgrounds of the contributors frequently alter the distribution of user contributions [18]. According to Hajjar et al [19], there are some issues that reside in two important features in LinkedIn.…”

Section: Rq1 : What Are the Main Manifestations Of Data Quality Issue...mentioning

confidence: 99%

“…For data quality assessment, they demonstrated that applicable total error frameworks developed in terms of representation and measurement of general statistical data can be used. Hatimi et al [18] has performed a literature review that supported the need to use social media platforms as a source of VGI in the context of risk management applications (RMA). In addition, they selected six relevant quality dimensions proposed by ISO 19157:2013 to be used in order to assess the quality of gathered VGI data which are thematic accuracy, positional accuracy, completeness, temporal quality, logical consistency and trustworthiness indicators which include reliability and reputation.…”

Section: Rq2: What Are the Most Important Dimensions And Metrics To A...mentioning

confidence: 99%

Assessing the quality of social media data: a systematic literature review

Reda

Zellou²

2023

Bulletin EEI

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In recent years, social media have been at the heart of new communication technologies. They are no longer used only to facilitate interaction between family, friends, and professional relationships, but tend to become an increasingly used communication channel to address public opinion. Research involving data sources from social media are relatively a recent and expanding area of research, nevertheless, the literature remains limited regarding the complex issue of how to assess and ensure the quality of social media data significantly and adequately. Our goal in this study is to provide a clearer and deeper understanding and a comprehensive overview of the existing state of research pertaining to the assessment of data quality in social media context. We performed a systematic literature review (SLR) on the quality of social media data to collect, analyze, and discuss data on the accuracy and value of prior literature that has focused on this area, has addressed a variety of topics, and has been published between 2016 and 2021. We followed a predefined review process to cover all relevant research papers published during this period. Our results demonstrate and strengthen the significance and the importance of data quality especially in the context of social media.

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Quality assessment in Volunteered Geographic Information for Risk Management applications

Cited by 2 publications

References 20 publications

Process Analysis in Humanitarian Voluntary Geographic Information: the case of the HOT Tasking Manager

Process Analysis in Humanitarian Voluntary Geographic Information: the case of the HOT Tasking Manager

Assessing the quality of social media data: a systematic literature review

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