Infrastructural Organization of Geospatial Data in The Global Level: A Case Study of Albanian Global Mapping Dataset

• Main Authors: Milot Lubishtani, Bashkim Idrizi, Subija Izeiroski, Fitore Bajrami Lubishtani
• Format: Article
• Language: English
• Published: Department of Geography Education, University of Jember 2020-04-01
• Series: Geosfera Indonesia
• Subjects: gsdi; gm; spatial data infrastructure; albania
• Online Access: https://jurnal.unej.ac.id/index.php/GEOSI/article/view/16901
• ISSN: 2598-9723; 2614-8528

Today, the development of economic and financial situation concerning the protection of environment and natural resources in a wider scope depends on the use of geospatial data. One of the main aims of the infrastructural organization of geospatial data is to provide users to be capable of acquiring complete, exact and updated dataset at the right time. This is necessary for providing an ideal environment, where all stakeholders can work collaboratively in an effective way, in order to solve environmental issues and to achieve their targets. Global Mapping (GM), a project established by United Nations, is one of the crucial contributions to the development of Global Spatial Data Infrastructure (GSDI). This case study on Albanian GM dataset was aimed at performing analyses of infrastructural organization of geospatial data in global-intercontinental level. Data standardization of GM as contributor of GSDI was analyzed through developed Albanian GM dataset. The main components taken into consideration for performing research analyses were data and metadata, technology, institutional framework, policies, interoperability, network services, search opportunities, and data sharing within GSDI. The main findings of this study are the necessity of infrastructural organization of geospatial data in the global level, known as GSDI, by including official geospatial datasets developed by the national mapping organizations of countries all over the world, in order to be used for environmental monitoring and protection, as well as for early warning management in international level. Finally, based on the research results, four conclusions for GSDI are offered, in order to be considered as guideline for further development of unified and globally homogeneous infrastructure of spatial data set.