Editorial on the Citizen Science and Geospatial Capacity Building

Kocaman, Sultan; Saran, Sameer; Durmaz, Murat; Kumar, Sunil

doi:10.3390/ijgi10110741

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…Spatial open datasets differ in quality and quantity and are used for various types of scientific and practical research in order to be exploited for various purposes, such as, for example, online applications [45], 3D city modelling [46], for collaborative geological mapping [47], for investigating historical settlements and landscape analysis [48], to study the geographic educational paths of individuals or social groups [49], for building citizen science [50], analysis of air pollution [51], vehicular traffic [52], public green spaces [53], etc. Special attention is given to the comparative analysis of open data among cities in compliance with indicator standards in order to set up a common set of indicators [54], such as economy, education, energy, environment and climate change, finance, governance, health, housing, population and social conditions, recreation, safety, solid waste, sport and culture, telecommunications, transportation, urban/local agriculture and food security, urban planning, wastewater and water.…”

Section: Discussionmentioning

confidence: 99%

Open Data as a Condition for Smart Application Development: Assessing Access to Hospitals in Croatian Cities

et al. 2022

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This research aims to assess available spatial open data related to access to hospitals in the three largest Croatian cities (Zagreb, Split, Rijeka), with a future aim to create digital services as an ecosystem that will be used in everyday situations, as part of the concept of “digital society”. Data analysis is performed for the following datasets: hospitals, hospital specialization, public transport (tram, bus), bike routes, car routes, parking and parking for people with disabilities. The future aim is to create a new mobile, multilingual and voice-based application that would enable quick access to information on hospital access, relying on the principles of the open data ecosystem, which would improve over time. There are four specific aims: (1) to identify and analyze portals and open datasets of the selected categories for the three largest Croatian cities; (2) to analyze existing open data assessment frameworks and detect gaps; (3) to create a conceptual open data assessment framework as an open data ecosystem that integrates new end-user perspectives; and (4) to analyze existing open datasets for the three largest cities in Croatia, based on supply and demand by researcher/developer categories, using the newly developed framework. The results show that existing open datasets related to hospital access in the three largest Croatian cities are scattered across different portals. Analyzed frameworks existing on the supply side of open data are more focused on the status of the components, lacking evaluation scales and not including end-user-driven aspects, which would be crucial for the open data ecosystem. As a result, the new “Hospital Access Framework” is created as a conceptual ecosystem, including five categories: supply, demand by researcher/developer, demand by end-user, legal aspect and impact. Analysis of existing open data for the three Croatian cities is performed for two categories (supply and demand by researcher/developer), for which KPIs, indicators and evaluation scales are developed. The other three categories are not analyzed, since the application cannot be developed from existing data, which are insufficient for the creation of a smart application. Results show that existing open data related to hospital access are incomplete or do not exist at all (hospital specialization, parking for people with disabilities, data on multilingualism and voice enabling). Average scores of the supply category are higher than those for demand by researcher/developer, although they are below the average grade, showing a lack of available data that could be used for further development. The new conceptual “Hospital Access Framework” open data ecosystem would benefit from end-user interaction, therefore, improving over time with end-users through interaction.

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Section: Discussionmentioning

confidence: 99%

Open Data as a Condition for Smart Application Development: Assessing Access to Hospitals in Croatian Cities

et al. 2022

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“…The concept of VGI is closely related to the term citizen science (CitSci), which involves the participation of volunteers in public scientific research to enhance scientific knowledge. CitSci and VGI are crucial in geospatial capacity-building and facilitating scientific advancements (Kocaman et al, 2021). In collaborative mapping, particularly in VGI, CitSci allows citizen scientists to contribute their basic knowledge to spatial data, promoting capacity-building in digital mapping and emerging technologies.…”

Section: Background Of Studymentioning

confidence: 99%

Community Activation for Disaster Risk Reduction Through OpenStreetMap: A Scoping Review

Muhamad,

Muhamad Hakimi,

Mahadzir

2023

JAGST

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The advancement of geospatial technology has significantly altered how data is utilised for facilitating the growth of open-access data for disaster risk reduction (DRR). OpenStreetMap (OSM) is a part of Volunteered Geographic Information (VGI), built on the concept of volunteerism and heavily reliant on user contributions to spatial data. In recent years, OSM has emerged as a fundamental tool in all aspects of DRR, enabling well-informed decision-making and empowering active community contributions. This study aims to review the utilisation of OSM in DRR and proposes recommendations to enhance community resilience. The five-step scoping review method was conducted on 25 selected papers to investigate the current knowledge and uncover the potential applications of OSM within the community for DRR. The review commenced by defining the research questions, identifying pertinent literature sources, selecting relevant literature for inclusion, extracting key themes from the literature, and finally, consolidating, summarising, and reporting the results. The findings revealed that OSM’s worldwide accessibility for various objectives has been instrumental in its widespread adoption and rising prominence. Nevertheless, this review emphasises that despite its rapid expansion into other fields, OSM continues to hold significant importance and widespread usage in the context of DRR. This study presented findings on community involvement in OSM and explored the opportunities for community-led DRR implementation. The paper provides insights into the application of OSM in advanced and developing countries while delving into potential future pathways. OSM places significant emphasis on community-driven, on-the-ground data collection, providing governments with a chance to enhance policy management in DRR. As the incorporation of OSM in decision-making expands, it will garner attention from diverse sectors, demonstrating the platform’s effectiveness on a broader and more impactful level.

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Assessing FAIRness of citizen science data in the context of the Green Deal Data Space

Lush,

Bastin,

Otsu

et al. 2024

International Journal of Digital Earth

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Editorial on the Citizen Science and Geospatial Capacity Building

Cited by 3 publications

References 10 publications

Open Data as a Condition for Smart Application Development: Assessing Access to Hospitals in Croatian Cities

Open Data as a Condition for Smart Application Development: Assessing Access to Hospitals in Croatian Cities

Community Activation for Disaster Risk Reduction Through OpenStreetMap: A Scoping Review

Assessing FAIRness of citizen science data in the context of the Green Deal Data Space

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