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The method for the quality evaluation of open geospatial data for creation and updating of datasets for National Spatial Data Infrastructure in Ukraine

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
. The purpose of the article is to present the research on method of the quality evaluation of published open geospatial data and its implementation in Ukraine. The method of the quality evaluation of open geospatial data considers the international standard ISO 19157 “Geographic information. Data quality”. This method is to determine the number of points or levels (maximum – 5). The research was carried out for the evaluation of open geoinformation resources for production of geospatial datasets, as defined in the Ukrainian Law on NSDI. The authors evaluated the quality of 142 open geoinformation resources and other information resources (materials) for the production and updating of 34 geospatial datasets for the development of NSDI in Ukraine. The authors present the example of the quality evaluation of geospatial data for datasets: “State Geodetic Reference Coordinate System UCS-2000”, “State Geodetic Network”, “Geographical Names” and “Administrative Units” because they are the components of the Core Reference Dataset of NSDI. Limitations of the research were determined by the adopted the Law of Ukraine “On National Spatial Data Infrastructure” and the Order for NSDI functioning in Ukraine and the requirements of the international standard ISO 19157 “Geographic information. Data quality”. The results of the research will be employed to evaluate the quality of NSDI implementation in Ukraine. The proposed method allows evaluating the quality of open geospatial dataset before using them for analysis and modeling of terrain, phenomena. This method takes into account the quality of geospatial data, and its related requirements for their production, updating and publication.
Słowa kluczowe
EN
open data   data quality   GKI   NSDI   RDF  
Rocznik
Strony
13--20
Opis fizyczny
Bibliogr. 20 poz., mapy, rys., tab.
Twórcy
autor
  • Kyiv National University of Construction and Architecture, Department of Geoinformation System and Photogrammetry, Kyiv, Ukraine
  • Kyiv National University of Construction and Architecture, Department of Geoinformation System and Photogrammetry, Kyiv, Ukraine
Bibliografia
  • Berners-Lee, T. (2009). Linked data − design issues. Retrieved May 31 2021 from https://www.w3.org/DesignIssues/LinkedData.html
  • Corti, P., Kralidis, A. T., & Lewis, B. (2018). Enhancing discovery in spatial data infrastructures using a search engine. PeerJ. Computer Science, 4, e152. https://doi.org/10.7717/peerj-cs.152
  • Devillers, R., Stein, A., Bédard, Y., Chrisman, N., Fisher, P., & Shi, W. (2010). Thirty years of research on spatial data quality: Achievements, failures, and opportunities. Transactions in GIS, 14(4), 387–400. https://doi.org/10.1111/j.1467-9671.2010.01212.x
  • Geospatial World and the United Nations Statistics Division. (2020). Geospatial Knowledge Infrastructure White Paper. Retrieved May 31 2021 from https://www.geospatialworld.net/gw-assets/pdf/GKI-White-Paper.pdf
  • Hamad, S. (2020). Updating topographic maps at scale 1:250000 for libyan territory using quantum gis (qgis) and open geospatial data: Libya topo-project. Journal of Geographical Studies, 4(1), 22–34. https://doi.org/10.21523/gcj5.20040103
  • Hanečák, P., Schleidt, K., & Tomáš Kliment. (2017). SHMU INSPIRE & OpenData. DanubeHack 3.0. https://doi.org/10.13140/RG.2.2.17939.37926
  • Janowicz, K., Hitzler, P., Adams, B., Kolas, D., & Vardeman II, C. (2014). Five stars of linked data vocabulary use. Semantic Web, 5(3), 173–176. https://doi.org/10.3233/SW-140135
  • Karpinskyi, Y., & Liashchenko, A. (2006). Strategy for the formation of the national infrastructure of geospatial data in Ukraine. NDIHK.
  • Karpinskyi, Y., Lazorenko-Hevel, N., & Kin, D. (2020). Inspireid implementation in the topographic database of the main state topographic map of Ukraine. ISTCGCAP "Geodesy, Cartography and Aerial Photography", 91(91), 20–27. https://doi.org/10.23939/istcgcap2020.91.020
  • Kin, D., & Lazorenko-Hevel, N. (2021). Quality assessment of open geospatial datasets NSDI in Ukraine: (Version 1.0) [Data set]. Retrieved May 31 2021 from Zenodo. https://doi.org/10.5281/zenodo.4892847
  • Lazorenko-Hevel, N. (2017). EuroSDR and Eurogeographics initiatives by the use of modern methods of geospatial data collection for topographic cartography. Engineering Geodesy, 64, 67–77.
  • Lindgren, T., Ekenberg, L., Nouri, J., Talantsev, A., & Hansson, K. (2016). Open government ideologies in post-soviet countries. International Journal of Electronic Governance, 8(3), Article 10002287, 244. https://doi.org/10.1504/IJEG.2016.10002287
  • Ministry of Development of Communities and Territories of Ukraine, State Service of Ukraine for Geodesy, Cartography and Cadastre. Geoportal of the administrative-territorial structure of Ukraine. Retrieved May 31 2021 from https://atu.gki.com.ua/
  • Open Knowledge International. (2017). Global open data index. Retrieved May 31 2021 from https://index.okfn.org/
  • Strobl, J., & Nazarkulova, A. (2014). Open geospatial data: New opportunities for gis and giscience in central asia? In GISCA 2014, Urumqi, China.
  • The Law of Ukraine “On The National Spatial Data Infrastructure”, bill no. 2370, 13.04.2020. (2020). Retrieved May 31 2021 from http://w1.c1.rada.gov.ua/pls/zweb2/webproc34?id=&pf3511
  • The Order of Functioning of The National Spatial Data Infrastructure, no. 532, 26.05.2021. (2021). Retrieved May 31 2021 from https://zakon.rada.gov.ua/laws/show/532-2021-%D0%BF?lang=uk#Text
  • UN-GGIM. (2019). Integrated Geospatial Information Framework (IGIF). A Strategic guide to develop and strengthen national geospatial information management,: Part 2: Implementation Guide. Retrieved May 31 2021 from https://ggim.un.org/IGIF/part2.cshtml
  • United Nations Department of Economic and Social Affairs. (2019). The Global Fundamental Geospatial Data Themes. Retrieved May 31 2021 from https://ggim.un.org/documents/Fundamental%20Data%20Publication.pdf
  • Usery, E. L., Varanka, D. E., & Davis, L. R. (2018). Topographic mapping evolution: From field and photographically collected data to gis production and linked open data. The Cartographic Journal, 55(4), 378–390. https://doi.org/10.1080/00087041.2018.1539555
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-89d8315c-249e-418d-baff-9622afab05a6
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