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Journal articles on the topic 'National Spatial Data Infrastructure'
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McLaughlin, John, and Sue Nichols. "Developing a National Spatial Data Infrastructure." Journal of Surveying Engineering 120, no. 2 (1994): 62–76. http://dx.doi.org/10.1061/(asce)0733-9453(1994)120:2(62).
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Merodio Gómez, Paloma, Macarena Pérez García, Gabriela García Seco, Andrea Ramírez Santiago, and Catalina Tapia Johnson. "The Americas’ Spatial Data Infrastructure." ISPRS International Journal of Geo-Information 8, no. 10 (2019): 432. http://dx.doi.org/10.3390/ijgi8100432.
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During the last decade, the production of geospatial information has increased considerably; however, managing and sharing this information has become increasingly difficult for the organizations that produce it, because it comes from different data sources and has a wide variety of users. In this sense, to have a better use of geospatial information, several countries have developed national spatial data infrastructures (SDIs) to improve access, visualization, and integration of their data and in turn, have the need to cooperate with other countries to develop regional SDIs, which allow better decision making with regional impact. However, its design and development plan requires, as a starting point, to knowing the level of development of the national SDIs to identify the strengths and gaps that exist in the region. This document presents the methodology developed and the results obtained from the evaluation of the status of implementation of the SDI components in each of the member countries of the Regional Committee of United Nations on Global Geospatial Information Management for the Americas (UN-GGIM: Americas), which will contribute to the equal development of SDIs in an integrated and collaborative way in the Americas.
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Wortman, Kathryn C. "Developing Standards for a National Spatial Data Infrastructure." Cartography and Geographic Information Systems 21, no. 3 (1994): 132–35. http://dx.doi.org/10.1559/152304094782602872.
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Tosta, Nancy. "Standards to support the national spatial data infrastructure." StandardView 2, no. 3 (1994): 143–47. http://dx.doi.org/10.1145/202749.202756.
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Mildorf, Tomáš, and Václav Čada. "Reference Data as a Basis for National Spatial Data Infrastructure." Geoinformatics FCE CTU 9 (December 22, 2012): 51–62. http://dx.doi.org/10.14311/gi.9.5.
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Spatial data are increasingly being used for a range of applications beyond their, traditional uses. Collection of such data and their update constitute a substantial part of the total costs for their maintenance. In order to ensure sustainable development in the area of geographic information systems, efficient data custody and coordination mechanisms for data sharing must be put in place. This paper shows the importance of reference data as a basis for national spatial data infrastructure that serves as a platform for decision making processes in society. There are several European initiatives supporting the wider use of spatial data. An example is the INSPIRE Directive. Its principles and the main world trends in data integration pave the way to successful SDI driven by stakeholders and coordinated by national mapping agencies.
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Karpinskyi, Yurii, and Nadiia Lazorenko-Hevel. "Topographic mapping in the National Spatial Data Infrastructure in Ukraine." E3S Web of Conferences 171 (2020): 02004. http://dx.doi.org/10.1051/e3sconf/202017102004.
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The article proposes a new development concept of topographic mapping in Ukraine. It is based on the implementation of a new system model that responds to the geoinformation approach to topographic mapping in the development of national geospatial data infrastructure (NSDI) and provides the creation of geospatial data sets in the form of databases and knowledge bases based on existing standards and specifications: series of international standards ISO 19100 “Geographic information/Geomatics”, Open Geospatial Consortium (OGS), INSPIRE, State Standards of Ukraine (DSTU), Complex of Standards Organization of Ukraine (SOU) “Topographic database”. It provides a high intellectual level of core reference and profile geospatial data, which is capable to provide geoinformation analysis and modeling in modern GIS. In addition, the implementation the infrastructure approach to topographic production and the creation and development of a permanent topographic monitoring system will ensure the publication of geospatial data in real time, almost simultaneously with changes in the terrain, which guarantees the maintenance of a single topographic basis and, accordingly, core reference datasets for NSDI. Publication is funded by the Polish National Agency for Academic Exchange under the International Academic Partnerships Programme from the project „Organization of the 9th International Scientific and Technical Conference entitled Environmental Engineering, Photogrammetry, Geoinformatics – Modern Technologies and Development Perspectives”.
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Kalantari Oskouei, A., M. Modiri, A. Alesheikh, R. Hosnavi, and M. A. Nekooie. "An analysis of the national spatial data infrastructure of Iran." Survey Review 51, no. 366 (2018): 225–37. http://dx.doi.org/10.1080/00396265.2017.1420586.
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Chabaniuk, V., and O. Dyshlyk. "National spatial data infrastructure (nsdi) of Ukraine: what are its actual, feasible and simultaneously "correct" models?" Zemleustrìj, kadastr ì monìtorìng zemelʹ, no. 3 (August 28, 2021): 11. http://dx.doi.org/10.31548/zemleustriy2021.03.11.
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The actual, feasible and simultaneously "correct" models of digital NSDI of Ukraine are considered in the work. A model of the existed digital NSDI system of Ukraine is named “actual”. This model already differs from the model defined by the [1]. As the latter is unlikely to be implemented in the near future, the issue of the digital feasible NSDI model of Ukraine in the next five years, which would take into account the actual model, is especially acute. In addition to feasibility, such a model must also be "correct", what is proposed in the article. The correct is called a model, the truth of which can be established by inductive or deductive reasoning. To do this, the correct model must be formalized enough so that everyone can verify the authors’ reasoning independently. Understanding both actual and correct models of NSDI of Ukraine will help to properly organize and develop actual Spatial Infrastructure Activities (SpIA) in Ukraine, including the real[1] implementation of the [1]. Although the results of the article call into question its feasibility and substantiate an alternative viewpoint on the automation problem of NGDI/NSDI/SpIA. However, we are convinced that it is still possible to change the alternative viewpoint to a cooperative one, if by means of by-laws the models of NGDI (Law), NSDI (article) and, finally, SpIA are agreed upon To prove the "correctness" of the feasible NSDI model, the theory of Relational cartography and its two main methods are used: Conceptual Frameworks and Solution Frameworks. In addition, the correspondence between Relational cartography and Model-Based Engineering is used. Key words: NSDI; product model; process model; actual, feasible and «correct» model. [1] Real. 1. Which exists in reality, true. Is used with: reality, life, existence, conditions, circumstances, fact, danger, force, wages, income. 2. One that can be implemented, executed: a real plan, a real program, a real task, a real deadline. 3. Which is based on taking into account and assessing the real conditions of reality: a real approach, a real view, a real policy.- accessed 2021-feb-14, http://slovopedia.org.ua/32/53408/32016.html (Ukrainian).
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Asseng, Bau, Zulkarnain Abdul Rahman, and Mohamad Nor Said. "DETERMINANT FACTORS OF SPATIAL DATA SHARING OF LOCAL SPATIAL DATA INFRASTRUCTURE IN INDONESIA." GEOMATIKA 24, no. 1 (2018): 1. http://dx.doi.org/10.24895/jig.2018.24-1.734.
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<p>This study is based on the phenomenon of the weakness of local government’s response to the national program of Spatial Data Infrastructure for the effective spatial data sharing in Indonesia. This study is investigation of determinant factors of spatial data sharing for local Spatial Data Infrastructure in Indonesia. The purpose of this study is to describe the spatial data-sharing model of Local SDI in Indonesia. It was conducted in West Java Province, Bogor Regency, and Bogor City. Sequential exploratory design method consisting of interview and questionnaire were used in this research. An in-depth interview was used to get a response from 10 participants among IT or GIS staff and head of the department. A total of 75 respondents were involved in questionnaire survey. Content’s analysis was used to measure interview data while Partial Least Square analysis was used to measure questionnaire data. The fit items were chosen after validity and reliability measurement in the structural model analysis using Smart PLS. Hypothesis measurement found that Data sharing practice was significantly affected by the Organization and Technology aspect, but Data sharing practice was less significantly affected by Human Resource and Spatial Data. All R-Square value shows that the value is more than 50% on Technology aspect, Human Resource aspect, Spatial Data aspect, while the R-Square value on Data Sharing practice is 47.3%. Because the Human resource and Spatial data have the less significant effect on spatial data sharing, this research proposed awareness program and mentoring by National government to promote spatial data sharing support at the local SDI.</p><p>Keywords: spatial data sharing, determinant factors, Partial Least Square (PLS)</p>
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Parida, P. K., and S. Tripathi. "ODISHA SPATIAL DATA INFRASTRUCTURE (OSDI) – ITS DATA MODEL, META DATA AND SHARING POLICY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-5 (November 15, 2018): 21–28. http://dx.doi.org/10.5194/isprs-annals-iv-5-21-2018.
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<p><strong>Abstract.</strong> Recognizing the potential utility and importance of a large quantity of spatial data generated using public funds by the Government Departments, organizations and institutions of the State for good governance and taking into consideration that most of such spatial data remains inaccessible to common citizen although most of such data may be unrestricted and not sensitive in nature and also most of such data generated at different State Government Departments do not have compatibility due to lack of common standards and non-interoperability and further taking note of that Government of India framed the “National Data Sharing and Accessibility Policy (NDSAP)”, National Map Policy (2005) and “Remote Sensing Data Policy (RSDP- 2001 and 2011)” to spell out sharing principles of information generated using public funds, Government of Odisha has institutionalised “Odisha Spatial Data Infrastructure(OSDI)”, in the line of National Spatial Data Infrastructure(NSDI)”. The Government of Odisha gazetted “Odisha Spatial Data Policy (OSDP)” in 22nd August 2015, in the line of NDSAP, to institute a policy frame work to facilitate sharing of such Government owned data through OSDI, in open format, for supporting sustainable and inclusive governance and effective planning, implementation and monitoring of developmental programmes, managing and mitigating disasters and scientific research aiding informed decisions, for public good. The OSDI has already been operational and made live.</p><p>This paper highlights the Data Model, Meta Data Standard and Sharing Policy adopted in OSDI, apart from other institutional / operational issues in smooth grounding and operationalisation of the OSDI in a State framework.</p>
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Kranjčić, Nikola, Bojan Đurin, Dragana Dogančić, and Lucija Plantak. "Improving Management of Spatial Data through Spatial Database." Environmental Sciences Proceedings 5, no. 1 (2020): 5. http://dx.doi.org/10.3390/iecg2020-08865.
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Entering the European Union, the Republic of Croatia took over the INSPIRE directive called the National Spatial Data Infrastructure. A large amount of spatial data can be found through the National Spatial Data Infrastructure Geoportal. Data are available for viewing or downloading via different services, such as a web mapping service or web feature service. Although different spatial data are available, it is hard to access useful information through Geoportal. The aim of this paper is to prepare a spatial database which will gather different spatial data related to environmental engineering and present different queries and the visualization of the results. The main data used are related to protected areas in the Republic of Croatia, which register the environmental pollutants, air quality, exploitation and research fields of mineral resources, waste management, water management, and so forth. Alongside the national spatial data, the Copernicus Land monitoring service EU-DEM, the digital elevation model, is used. The classification of Sentinel-2 MSI data is used to provide land cover. Remotely sensed data are used in queries where aspect, slope, and land cover affect the results. Two predefined SQL queries are discussed. The first query discusses the danger of landslides, and the second query discusses threats from illegal landfills and the effect that they have on the environment. Predefined SQL queries enable users to quickly access needed data, even when the original data is updated. All data, databases, visualization, and results are presented in open access software.
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EFENDYAN, P., and M. PETROSYAN. "Legal aspects of national spatial data infrastructure of Republic of Armenia." Modern achievements of geodesic science and industry 1, no. 45 (2023): 132–34. http://dx.doi.org/10.33841/1819-1339-1-45-132-134.
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Spatial data infrastructure (SDI) is a framework for collecting, storing, managing, and distributing spatial data. It is a critical component of any modern geographic information system (GIS) and is used in a wide range of applications, including land management, environmental monitoring, and emergency response. One important aspect of SDI is the legal component, which includes the laws and regulations that govern the collection, use, and sharing of spatial data. These laws and regulations can vary depending on the jurisdiction and can include issues such as data ownership, privacy and intellectual property rights. In the Republic of Armenia, with the concept of “Integrated Cadastre”, it is planned to implement and develop a National Spatial Data Infrastructure (NSDI). Nevertheless, in the Republic of Armenia, not all stages of the implementation of NSDI have been developed yet, including a legal document defining the availability of data at different levels. For the implementation and effective policy development of NSDI, it is necessary to give attention to the regulation of legal relations regarding spatial data at different levels. For this purpose, we studied the legal documents related to the regulation of the field of spatial data in the Republic of Armenia, identified the contradictions and problems in the existing legal documents, which made it possible to highlight the necessary relevant legal provisions.
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Putra, Tandang Yuliadi Dwi, Yoshihide Sekimoto, and Ryosuke Shibasaki. "Toward the Evolution of National Spatial Data Infrastructure Development in Indonesia." ISPRS International Journal of Geo-Information 8, no. 6 (2019): 263. http://dx.doi.org/10.3390/ijgi8060263.
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Over the last 25 years, the potential benefits of sharing and reusing geographic information for national development programs have led many countries to establish their own national spatial data infrastructure (NSDI). Indonesia is among the early adopters; however, despite its early introduction of NSDI concepts, the implementation has encountered some difficulties. The main objective of this study is to understand the evolution of NSDI development in Indonesia and then develop strategic directions for future implementation. We first characterized periods of current NSDI development based on the use of technology and identified problems that have occurred. To understand the problems’ causes, we conducted a stakeholder analysis utilizing questionnaire surveys. In addition, we analyzed cost components allocated for NSDI operation. The results showed that stakeholders’ low participation was caused by insufficient technological, financial, and human resources to manage geographic information. Subsequently, a strengths-weaknesses-opportunities-threats analysis was conducted to determine proposed directions of the institutional and technical aspects. This research provides the framework for analyzing NSDI evolution in one country—Indonesia. The proposed directions can be applied in other countries to ensure effective NSDI development and implementation.
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Stoter, Jantien, George Vosselman, Joris Goos, et al. "Towards a National 3D Spatial Data Infrastructure: Case of The Netherlands." Photogrammetrie - Fernerkundung - Geoinformation 2011, no. 6 (2011): 405–20. http://dx.doi.org/10.1127/1432-8364/2011/0094.
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Yalcin, Guler. "Initial Organizational Studies on National Spatial Data Infrastructure at Government Level." Procedia Technology 12 (2014): 572–76. http://dx.doi.org/10.1016/j.protcy.2013.12.531.
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Rahman, Md Mostafizur, and György Szabó. "Assessing the Status of National Spatial Data Infrastructure (NSDI) of Bangladesh." ISPRS International Journal of Geo-Information 12, no. 6 (2023): 236. http://dx.doi.org/10.3390/ijgi12060236.
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National spatial data infrastructure (NSDI) is an essential framework for managing and sharing geospatial data across different sectors and organizations. In Bangladesh, the development of NSDI is still in its early stages, and there are several challenges that need to be addressed to ensure its effective implementation. This paper provides a comprehensive assessment of the status of NSDI implementation in Bangladesh using Eelderink’s fourteen key variables. The paper examines the current state of NSDI implementation in Bangladesh, identifies strengths and weaknesses, and suggests recommendations for improvement. The findings suggest that while some progress has been made in establishing NSDI in Bangladesh, there are still significant challenges, such as limited funding; weak coordination among stakeholders; and a lack of skilled manpower, awareness, and capacity among users. To address these challenges, in this paper, we recommend several measures to improve the NSDI framework in Bangladesh. These include increasing funding support for NSDI development and maintenance, improving coordination among stakeholders through the establishment of a national coordinating body, enhancing awareness and capacity-building programs for NSDI users, and promoting the use of open data standards to improve data quality and interoperability. It is hoped that these recommendations will be taken into consideration by policymakers and other stakeholders to further enhance the development of NSDI in Bangladesh.
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Pei, Wei. "Metadata Strategy, Data Directory System and Emerging National Spatial Data Infrastructure in Australia." Annals of GIS 3, no. 1-2 (1997): 60–65. http://dx.doi.org/10.1080/10824009709480494.
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Rahman, M. M., and G. Szabó. "NATIONAL SPATIAL DATA INFRASTRUCTURE (NSDI) OF BANGLADESH – DEVELOPMENT, PROGRESS AND WAY FORWARD." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2020 (August 3, 2020): 131–38. http://dx.doi.org/10.5194/isprs-annals-v-4-2020-131-2020.
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Abstract. National Spatial Data Infrastructure (NSDI) refers to a framework of policies, institutional arrangements, technologies, data, and people that enables the sharing and effective usage of geographic information. This paper aims to present the development and current progress of NSDI in Bangladesh. In preparing this paper, we have reviewed several papers, documents and articles related to NSDI development in Bangladesh. We have also explored different spatial data sharing platforms of related agencies and departments. This study finds that, in last decade, there is substantial increase in the production and use of geospatial data in Bangladesh. However, due to the absence of planning and centralized spatial data infrastructure (SDI) system, there are duplication of efforts among different organizations in respect of spatial data production leading to wastage of time and financial resources. There is also problem of maintaining same metadata standard among different organisations creating difficulties in building and sharing spatial data. Against this background, in 2016, Bangladesh government has decided to develop NSDI. As there are some organizations already have developed geoportal so it is decided that existing platform will be used as NSDI initially. Based on this decision GeoDASH platform is being used at present. However, there are many challenges and much to develop the platform. Development of NSDI in Bangladesh is still under process and there are some challenges also. Overcoming the problems and challenges, full-fledged development and operation of NSDI is expected to support the achievement of SDGs in Bangladesh.
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Tatenda Manyuchi, Philip Taru, and Geofrey Mukwada. "Leveraging spatial data infrastructure for disaster risk reduction." International Journal of Science and Technology Research Archive 8, no. 1 (2025): 050–58. https://doi.org/10.53771/ijstra.2025.8.1.0024.
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The systematic review approach revealed that location-based decision making allows for structured approach to prioritization of disaster response and recovery by disaster management practitioners. The Yokohama Strategy called for the use of information across national, regional and international scales for Disaster Risk Reduction (DRR), while Priority Action 1f of the Sendai Framework called for the use of “real time access to reliable data, make use of space and in situ information, including geographic information systems (GIS), and use information and communications technology innovations to enhance measurement tools and the collection, analysis and dissemination of data.” The bibliometric review of the role of SDI in the management of natural disasters revealed that interest is shifting from mark-up languages and sensors to web services and data integration. The efficiency of operational SDI driven DRR is a function of the availability of relevant and up-to-date information. Though there are technological limitations in developing countries in Africa, there is an urgent need to increase uptake and implementation of SDIs drawing lessons from the SDI-East Africa and the global community.
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Lazorenko-Hevel, Nadiia. "GEOGRAPHIC IDENTIFIERS AS A BASIS FOR INTEGRATION OF GEOSPATIAL DATA." Urban development and spatial planning, no. 78 (October 29, 2021): 312–26. http://dx.doi.org/10.32347/2076-815x.2021.78.312-326.
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The article examines the subject, idea, role and meaning of geographic identifiers to ensure the integration of geospatial data in seamless topographic databases and national spatial data infrastructure in accordance with the national standard DSTU ISO 19112: 2017 (ISO 19112: 2003, IDT) Geographic information. Spatial referencing by geographic identifiers.
 The main direction of development of topographic and geodetic activity in Ukraine is the development of the national spatial data infrastructure based on the principles of geoinformation approach. The national spatial data infrastructure is seen as a system of integration of geospatial data of different origins from different sources, and most importantly from different areas of activity. The system of integration of heterogeneous data acquires special value at connection of a set of basic data with the thematic data which provide an array of attributive information from various kinds of activity. It is through geographic identifiers that geospatial coordinate descriptions of features are linked to an array of attribute data that does not have a direct positioning. Geographic identifiers can be the following: codifier of administrative-territorial units and territories of territorial communities, cadastral number of the land plot, address, geographic name, etc.
 Therefore, the aim of the article is to study the requirements for the use of geographic identifiers for the integration of sets of basic and thematic geospatial data of the national geospatial data infrastructure in accordance with DSTU ISO 19112:2017 (ISO 19112:2003, IDT).
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Hovstad, Knut Anders, Stein Hoem, Eveliina Kallioniemi, et al. "Developing and Maintaining a National Biodiversity Data Infrastructure – An example from Norway." Biodiversity Information Science and Standards 6 (September 7, 2022): e94078. https://doi.org/10.3897/biss.6.94078.
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Biodiversity data infrastructures are fundamental to halting the ongoing loss of species and habitats. Here we provide an overview of the national biodiversity data infrastructure developed and implemented in Norway by The Norwegian Biodiversity Information Centre (NBIC). Key elements and properties of this infrastructure are highlighted and directions for future development are outlined.The overarching objective for the infrastructure is to make data on habitats and species in Norway available for policy and decision makers, researchers and the general public. Here we will focus on data on species and their distribution. The infrastructure is built as a modular system but with a high level of integration between the components. NBIC has the main responsibility for developing and managing the infrastructure in collaboration with natural history museums, research organizations, private companies and non-governmental organizations (NGOs), including the Norwegian node of the Global Biodiversity Information Facility (GBIF). The infrastructure includes a citizen science portal that gives both amateurs and professionals the possibility to report species sightings. The data from this portal together with data from natural history museums and other data providers are then made available though the Species Map Service website. The infrastructure also includes the Norwegian taxonomic backbone database and a trait bank that is under development. The trait bank is planned to contain both ecological traits but also other information about species such as Red List status. The infrastructure builds on a few simple principles. The exchange of data is based on the Darwin Core Standard and its extensions, or other open data standards. Each data owner is responsible for quality control, secure storage and management of their own data. The data owners publish the data using the Integrated Publishing Toolkit (IPT) developed by GBIF. NBIC then harvests all observations with spatial coordinates that fall within Norway and adds information about, for example, status on the Norwegian Red List before the data are made available in the map. The core parts of the infrastructure only handle data that are open and adhere to the FAIR principles, i.e. that the data are Findable, Accessible, Interoperable, and available for Reuse. An important exception to this principle is observations of threatened species that are particularly vulnerable to human disturbance. Sensitive data are managed in a separate, secure system and with a restricted access portal for data viewing.Data in the Species Map Service are also available through a public API, which can be used to harvest and import the data or subsets of it into other systems and services. To give an example, the forestry industry integrates data on Red Listed species into their planning systems tools and has even an option to display a subset of species occurrences on their forestry machine computers.NBIC has in cooperation with NGOs established a system in which experts validate observations that are reported through the citizen science portal. As it is not possible to validate all observations, species of particular interest for environmental management and conservation are given priority. A future solution could be to develop a system that can identify observations with a low likelihood of being correct using, for example, statistical models that describe the likelihood of an occurrence in a given space and environment. If photos are available, image recognition based on machine learning can be used to spot species that are likely to be misidentified. It is also possible/conceivable to use a more heuristic approach based on an ontology for organisms and ecological traits (for example, "this is a fish, fish are always aquatic organisms, this observation was made on dry land and is thus unlikely to be true"). The development of improved tools and systems to improve data quality is a major task for future development of the infrastructure.In Norway, spatial planning processes and decisions are required to integrate information made available through the infrastructure. If new information about the occurrence of Red Listed species or other species of special interest for environmental management and conservation are discovered through the planning process, the developer is responsible for archiving these observations in a publicly available database.Key factors for the success of the biodiversity data infrastructure described here are: (i) the close cooperation between NBIC, data providers, NGO's and data users, (ii) the modularity of the infrastructure, (iii) the use of open and flexible standards for data exchange, and (iv) the integration of the infrastructure in the legal framework for spatial planning requiring that data from e.g., environmental impact assessments are made available through the infrastructure.
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Pubellier, Cindy. "LITHUANIAN GEOGRAPHIC INFORMATION INFRASTRUCTURE - SPATIAL DATA SHARING WITH LITHUANIA." Geodesy and cartography 31, no. 2 (2012): 47–53. http://dx.doi.org/10.3846/13921541.2005.9636664.
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Geographic information system (GIS) has proved its success in the past decades by its wide utilisation bringing information together within organisations. Nevertheless, our challenge now is to use and share spatial data to its maximum advantage within the IT (Information Technology) environment instead of merely using GIS. This integration or interoperability of data is essential to information and knowledge sharing within a nation. Technology is undoubtedly crucial for the vision of National Geographic Information Infrastructure (NGII) to make interoperability happen through which tremendous economic benefits could be achieved. Of equal importance is a clear framework of agreements among government agencies, and between the government, the private sector and citizens on the terms through which the use of PSI, including geographic information, can be maximised for the benefits of all. These agreements often require attention and political support at the highest level.
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Sîrbu, Rodica. "Analysis methodology of openstreetmap data completeness (case study: Chisinau city)." Journal of Engineering Science 31, no. 4 (2024): 157–65. https://doi.org/10.52326/jes.utm.2024.31(4).11.
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In recent years, special attention has been paid to free and open geospatial data sources accessible to the whole world, which have benefits for all sectors of the national economy. Taking into account the interest in this topic, the article proposes a data completeness analysis for OpenStreetMap, that is based on crowd sourcing, compared to data sources available at the national level, such as statistical information from Public Institution Real Estate Cadastre registers or the Spatial Data Infrastructure of the Republic of Moldova (NSDI), Agency Geodesy, Cartography and Cadastre. Thus, a general methodology for completeness analysis framework is designed based on the characteristics of OSM data, since is a well-known standard. Secondly, an attempt was made to apply a quality assessment model for OSM data through three different quality elements: completeness, thematic accuracy and positional accuracy based on the visual and quantitative analyses taking into account the spatial data that already exists on national platforms. The Chisinau city was selected as a case study/area of interest, and the results of the presented research can subsequently be applied to the entire Republic of Moldova. Based on the analysis performed, it can conclude that spatial data sources, whether from official sources or those based on crowd sourcing, still need to be supplemented with both spatio-temporal and qualitative information.
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Youn, Jun Hee. "The Establishment of BPR for National Spatial Data Infrastructure Quality Management System." Journal of Korean Society for Geospatial Information System 22, no. 4 (2014): 81–89. http://dx.doi.org/10.7319/kogsis.2014.22.4.081.
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Rao, Mukund, Amitabha Pandey, A. K. Ahuja, V. S. Ramamurthy, and K. Kasturirangan. "National spatial data infrastructure - coming together of GIS and EO in India." Acta Astronautica 51, no. 1-9 (2002): 527–35. http://dx.doi.org/10.1016/s0094-5765(02)00046-2.
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Martynova, Elena V. "The Formation and Quality Assurance Directions of the National Spatial Data Infrastructure." Теория и практика общественного развития, no. 4 (2023): 109–14. http://dx.doi.org/10.24158/tipor.2023.4.14.
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Yoo, Yejin, and Seong-sig Kim. "Strategic Analysis for Governance Development of National Spatial Data Infrastructure Portal in Korea." ISPRS International Journal of Geo-Information 10, no. 10 (2021): 654. http://dx.doi.org/10.3390/ijgi10100654.
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The Korean government released the National Spatial Data Infrastructure Portal (NSDIP) by integrating the spatial information possessed by 205 agencies to implement governance through the portal. In this study, four evaluation criteria groups (disclosure, participation, civil petition service, and website usability) were established through a literature review related to governance and government portals. After evaluation based on the four evaluation criteria, governance improvement measures were suggested. As an improvement measure, in terms of information disclosure, it was necessary to manage the quality of data update cycle, accuracy, metadata, etc., and to provide customized spatial information. In the stakeholder participation section, feedback from users is reflected in policies, and activation of participation spaces through education and exhibitions is required. In terms of civil petition service, it is necessary to introduce an incentive system to improve innovative services and to prepare measures to prevent infringement of security and privacy in the civil petition process. In website usability, it is necessary to prepare an improvement plan by introducing user-friendly interface design using GIS viewer, and statistics and GIS spatial analysis functions. The improvement plan by the evaluation criteria is expected to be the direction to implement inclusive portal governance.
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Köbben, Barend. "Towards a National Atlas of the Netherlands as part of the National Spatial Data Infrastructure." Cartographic Journal 50, no. 3 (2013): 225–31. http://dx.doi.org/10.1179/1743277413y.0000000056.
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Nikhil Khandare. "SMSDI: Secure Multiservice Spatial Data Infrastructure using Public Key Cryptography." Communications on Applied Nonlinear Analysis 32, no. 7s (2025): 823–41. https://doi.org/10.52783/cana.v32.3489.
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With the aim of making spatial data readily available to people, enterprises, and governments for successful regional, state, and national decision-making, countries are focused on building spatial data infrastructure that can provide reliable spatiotemporal data. Nonetheless, numerous issues need to be dealt with before, during, and after the creation of spatial data infrastructure.Accuracy, dealing with big data, analysis of large spatial data, time to fetch data, privacy protection are different SDI issues. Huge work has been undertaken into the study and precision of spatial data, but relatively little attention is paid to the security of spatial data infrastructure. So this paper proposes an architecture for secure SDI based on elliptic curve cryptography to address this problem.Security is implemented at different levels of SDI, incorporating different features to improve SDI security. Such features include a modern authentication algorithm, secure calls to service, safe data transfer, and secure data storage in the database. The Secure-SDI proposed is safe against all well-known attacks, and proof of concept is also provided in security analysis
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Bukueva, Aizhan. "CREATION SPATIAL DATA INFRASTRUCTURE AS ONE OF THE PRIORITY DIRECTIONS OF STATE POLICY FOR THE DEVELOPMENT OF ELECTRONIC STATE SERVICES." Alatoo Academic Studies 21, no. 3 (2021): 327–34. http://dx.doi.org/10.17015/aas.2021.213.035.
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The article provides an overview of studies by foreign authors in the field of formation and development of geographic spatial data, their use in various industries, considers the state and role of spatial data in the state policy of the Kyrgyz Republic in the field of providing electronic public services at this stage of society development. The existing spatial data of the state bodies of the Kyrgyz Republic were identified and their impact on the provision of electronic state services was analyzed, national concepts and programs for the development of national spatial data infrastructure are shown, technological, financial, and legal problems of data producers on integrating spatial data into a single geographic portal are considered. The analysis of normative legal acts related to the creation of a national infrastructure of spatial data, a geo-information portal is carried out, ways and methods of integrating spatial data are given
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Čada, V., and K. Janečka. "THE FUNDAMENTAL SPATIAL DATA IN THE PUBLIC ADMINISTRATION REGISTERS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 13, 2016): 171–74. http://dx.doi.org/10.5194/isprs-archives-xli-b4-171-2016.
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The system of basic registers was launched in the Czech Republic in 2012. The system provides a unique solution to centralize and keep actual most common and widely used information as a part of the eGovernment. The basic registers are the central information source for information systems of public authorities. In October 2014, the Czech government approved the conception of The Strategy for the Development of the Infrastructure for Spatial Information in the Czech Republic to 2020 (GeoInfoStrategy) that serves as a basis for the NSDI. The paper describes the challenges in building the National Spatial Data Infrastructure (NSDI) in the Czech Republic with focus on the fundamental spatial data and related basic registers. The GeoInfoStrategy should also contribute to increasing of the competitiveness of the economy. Therefore the paper also reflects the Directive 2014/61/EU of the European Parliament and of the Council on measures to reduce the cost of deploying high-speed electronic communication networks. The Directive states that citizens as well as the private and public sectors must have the opportunity to be part of the digital economy. A high quality digital infrastructure underpins virtually all sectors of a modern and innovative economy. To ensure a development of such infrastructure in the Czech Republic, the Register of passive infrastructure providing information on the features of passive infrastructure has to be established.
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Čada, V., and K. Janečka. "THE FUNDAMENTAL SPATIAL DATA IN THE PUBLIC ADMINISTRATION REGISTERS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 13, 2016): 171–74. http://dx.doi.org/10.5194/isprsarchives-xli-b4-171-2016.
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The system of basic registers was launched in the Czech Republic in 2012. The system provides a unique solution to centralize and keep actual most common and widely used information as a part of the eGovernment. The basic registers are the central information source for information systems of public authorities. In October 2014, the Czech government approved the conception of The Strategy for the Development of the Infrastructure for Spatial Information in the Czech Republic to 2020 (GeoInfoStrategy) that serves as a basis for the NSDI. The paper describes the challenges in building the National Spatial Data Infrastructure (NSDI) in the Czech Republic with focus on the fundamental spatial data and related basic registers. The GeoInfoStrategy should also contribute to increasing of the competitiveness of the economy. Therefore the paper also reflects the Directive 2014/61/EU of the European Parliament and of the Council on measures to reduce the cost of deploying high-speed electronic communication networks. The Directive states that citizens as well as the private and public sectors must have the opportunity to be part of the digital economy. A high quality digital infrastructure underpins virtually all sectors of a modern and innovative economy. To ensure a development of such infrastructure in the Czech Republic, the Register of passive infrastructure providing information on the features of passive infrastructure has to be established.
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Karpinskyi, Yurii, and Oleksandr Maliuk. "THE METHODOLOGICAL FRAMEWORK FOR THE INTEGRATION OF NATIONAL AND PAN-EUROPEAN SPATIAL DATA INFRASTRUCTURES (INSPIRE)." Spatial development, no. 10 (November 29, 2024): 458–70. https://doi.org/10.32347/2786-7269.2024.10.458-470.
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Today, the state policy continues to be implemented with the aim of integration into the European space in all areas of activity, including the national geospatial data infrastructure (hereinafter – NSDI). This necessitates the study of methods and tools for integrating geodata of INSPIRE and NSDI. This article analyzes the provisions of Directive 2007/2/EC of the European Parliament and of the Council on the establishment of a Spatial Information Infrastructure in the European Community (hereinafter – INSPIRE Directive) and its annexes, as well as the Implementing Rules on geospatial data, metadata and services for their compliance with the current legislation of Ukraine. The purpose of the study is to develop a methodology for integrating national and European geospatial data infrastructures for further customization of geoinformation interaction between these two integrated systems. The scientific novelty lies in the analysis of methods, environment, tools and technologies for developing a methodology for data integration and further development of a roadmap for INSPIRE implementation in Ukraine. The practical significance of the research results is the use of the data integration methodology to implement the provisions of the INSPIRE Directive in Ukraine, including the creation of geospatial data sets and geographic information services defined by the INSPIRE Directive. Therefore, the methodology for integrating national and European geospatial data infrastructures (INSPIRE) is developed taking into account the levels of interoperability. To monitor its implementation, it is necessary to develop a roadmap for INSPIRE implementation based on the IGIF methodology, as it has a sufficient number of indicators that allow for prompt monitoring of the plan. Alignment with the INSPIRE legal framework and finalization of the national legislation on NSDI will help to eliminate gaps and implement the provisions of INSPIRE in Ukraine. Rules for monitoring and reporting on the NSDI functioning should be developed and made available to the public.
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Ali, Asmat, and Muhammad Imran. "National Spatial Data Infrastructure vs Cadastre System for Economic Development: Evidence from Pakistan." Land 10, no. 2 (2021): 188. http://dx.doi.org/10.3390/land10020188.
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The growth of Pakistan’s agriculture-based economy depends on elevating agriculture production and raising the per-capita income of rural communities. This paper evaluates the value of two simultaneous initiatives for the economic development of Pakistan, i.e., (i) reforming and modernization of the cadastre system, and (ii) the implementation of national spatial data infrastructure (NSDI). Both can provide crucial frameworks to assemble geographic information necessary for effective agriculture policies in the country. Their execution at the national level requires substantial technical, human, and finical resources. These mega initiatives may become highly challenging, due to the already shrinking economy of the country from COVID-19. The study makes use of an evaluation framework, official documents, such as project proposals, minutes of meetings, in addition to data collected through questionnaire and from ministries, such as the ministry of planning, development, and reforms (commonly known as planning commission), as well as Pakistan bureau of statistics. Our findings indicate that both the projects share some commonalities in terms of benefits, problems, and resources. However, the economic benefits of the NSDI project are high compared to the cadastre for the country, especially for effective agricultural policy-making. The results output will help practitioners from both systems to reduce the overlapping value, cost, and scope of the work involved.
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Triglav Čekada, Mihaela, and Anka Lisec. "Opportunities for using the volunteered geographic information within the national spatial data infrastructure." Geodetski vestnik 63, no. 02 (2019): 199–212. http://dx.doi.org/10.15292/geodetski-vestnik.2019.02.199-212.
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Izdebski, Waldemar. "Analysis of the cadastral data published in the Polish Spatial Data Infrastructure." Geodesy and Cartography 66, no. 2 (2017): 227–40. http://dx.doi.org/10.1515/geocart-2017-0015.
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Abstract The cadastral data, including land parcels, are the basic reference data for presenting various objects collected in spatial databases. Easy access to up-to-date records is a very important matter for the individuals and institutions using spatial data infrastructure. The primary objective of the study was to check the current accessibility of cadastral data as well as to verify how current and complete they are. The author started researching this topic in 2007, i.e. from the moment the Team for National Spatial Data Infrastructure developed documentation concerning the standard of publishing cadastral data with the use of the WMS. Since ten years, the author was monitoring the status of cadastral data publishing in various districts as well as participated in data publishing in many districts. In 2017, when only half of the districts published WMS services from cadastral data, the questions arise: why is it so and how to change this unfavourable status? As a result of the tests performed, it was found that the status of publishing cadastral data is still far from perfect. The quality of the offered web services varies and, unfortunately, many services offer poor performance; moreover, there are plenty services that do not operate at all.
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Kliment, T., M. Tuchyňa, and M. Kliment. "Methodology for conformance testing of spatial data infrastructure components including an example of its implementation in Slovakia." Slovak Journal of Civil Engineering 20, no. 1 (2012): 10–20. http://dx.doi.org/10.2478/v10189-012-0002-y.
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Methodology for conformance testing of spatial data infrastructure components including an example of its implementation in SlovakiaBefore any spatial data infrastructure (SDI) is implemented as fully operational, many relevant testing procedures should take place. Such procedures should evaluate the compliancy level of particular SDI components against the relevant standards and implementing rules. Hence, they should ensure a high interoperability level. Many testing activities have already been performed within the implementation of the European SDI (INSPIRE - Infrastructure for Spatial Information in the European Community). Nevertheless, a common and versatile testing methodology, which is possible to use at any level of SDI realization is still lacking. This paper proposes a conformance testing methodology for selected SDI components applicable via network services for the discovery, view and downloading of data. An example of such an implementation has taken place within an environmental SDI developed by the Slovak Environmental Agency. A testing report template summarizing the results of the tests is proposed to be considered as a common template on a national level to be used within the implementation of a National Infrastructure for Spatial Information in the Slovak Republic.
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Rezvani, Seyed M. H. S., Maria João Falcão Silva, and Nuno Marques de Almeida. "Mapping Geospatial AI Flood Risk in National Road Networks." ISPRS International Journal of Geo-Information 13, no. 9 (2024): 323. http://dx.doi.org/10.3390/ijgi13090323.
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Previous studies have utilized machine learning algorithms that incorporate topographic and geological characteristics to model flood susceptibility, resulting in comprehensive flood maps. This study introduces an innovative integration of geospatial artificial intelligence for hazard mapping to assess flood risks on road networks within Portuguese municipalities. Additionally, it incorporates OpenStreetMap’s road network data to study vulnerability, offering a descriptive statistical interpretation. Through spatial overlay techniques, road segments are evaluated for flood risk based on their proximity to identified hazard zones. This method facilitates the detailed mapping of flood-impacted road networks, providing essential insights for infrastructure planning, emergency preparedness, and mitigation strategies. The study emphasizes the importance of integrating geospatial analysis tools with open data to enhance the resilience of critical infrastructure against natural hazards. The resulting maps are instrumental for understanding the impact of floods on transportation infrastructures and aiding informed decision-making for policymakers, the insurance industry, and road infrastructure asset managers.
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Rossa, Maciej, and Mariusz Rogulski. "The Applicability Of SWE In Polish Spatial Data Infrastructures - The Example Of The SensorML Language." Foundations of Computing and Decision Sciences 40, no. 3 (2015): 187–201. http://dx.doi.org/10.1515/fcds-2015-0012.
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Abstract Mobile and stationary sensors currently used to measure various environmental parameters, functioning independently or as part of monitoring networks and measurement stations, provide vast amounts of data on the state and quality of the environment on the Earth. If the data is to be used effectively, they must be exchanged and shared among IT systems. Systems which offer services of searching, exchange, sharing, visualisation and analysis of dispersed and varied data resources on the widely understood environment are, for example, spatial data infrastructures. The article presents an overview of IT technologies and standards which offer interoperability in spatial data infrastructures. It first defines interoperability and then describes the most important issues connected with spatial data infrastructures on the example of INSPIRE. An example standard which facilitates interoperability in INSPIRE is the SensorML language, a component of Sensor Web Enablement (SWE). Its practical application is proposed – for description of processes of air monitoring in a spatial data infrastructure that is an element of the Polish national environmental monitoring plan.
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Gulson, Kalervo N., and Sam Sellar. "Emerging data infrastructures and the new topologies of education policy." Environment and Planning D: Society and Space 37, no. 2 (2018): 350–66. http://dx.doi.org/10.1177/0263775818813144.
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This paper examines how datafication is creating new topologies of education policy. Specifically, we analyse how the creation of data infrastructures that enable the generation, communication and representation of digital data are changing relations of power, including both centralised and dispersed forms, and space in education. The paper uses conceptual resources from cultural topology and infrastructure studies to provide a framework for analysing spatial relations between educational data, discourses, policies and practices in new governance configurations. The paper outlines a case study of an emergent data infrastructure in Australian schooling, the National Schools Interoperability Program, to provide empirical evidence of the movement, connection and enactment of digital data across policy spaces. Key aspects of this case include the ways that data infrastructure is: (i) enabling new private and public connections across policy topologies; (ii) creating a new role for technical standards in education policy and (iii) changing the topological spaces of education governance.
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Hamamurad, Qasim Hamakhurshid, Normal Mat Jusoh, and Uznir Ujang. "Factors That Affect Spatial Data Sharing in Malaysia." ISPRS International Journal of Geo-Information 11, no. 8 (2022): 446. http://dx.doi.org/10.3390/ijgi11080446.
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This paper examines the phenomena of the local government’s inadequate reaction to the national programme of geographical infrastructure for the effective sharing of spatial data in Malaysia. We investigate the determinants of sharing data for Malaysia’s spatial data infrastructure (SDI) and aim to define the model for spatial data-sharing of Malaysia’s local SDI. The main contribution of this paper is an explanation of the novel methodology to study factors that affect spatial data sharing including a new qualitative analysis method through an interview with people concerned in this field, including engineers, technicians and academics, which was undertaken in Kuala Lumpur, and a new methodology to identify the necessary approach that affects spatial data sharing. An interview and a questionnaire were used in this study as part of a sequential exploratory approach. Among land use, Plan Malaysia, and Telekom Malaysia Berhad TMOne, 15 participants were interviewed in-depth to obtain their responses, and 83 individuals took part in the survey questionnaires. Interview data were measured by content analysis, while questionnaire data were measured by partial least squares analysis. In the structural model analysis, Smart PLS was used to choose the fit items based on validity and reliability measurements. According to the hypothesis measurement, technology and organisation both significantly affect the practice of spatial data sharing, but human resources and spatial data do not significantly affect it. All R-Squared values represent a value above 56 per cent for the human resource aspect, technology aspect and spatial data aspect. However, the R-Square value for spatial data sharing is 47%. Spatial data and human resources have a less substantial impact on spatial data sharing; hence, this study proposes a national awareness programme and mentoring to improve local SDI support for spatial data sharing.
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Wang, Hao, Zhiying Huang, Yanqing Liang, et al. "Dynamic evolution of urban infrastructure resilience and its spatial spillover effects: An empirical study from China." PLOS ONE 18, no. 3 (2023): e0282194. http://dx.doi.org/10.1371/journal.pone.0282194.
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Urban infrastructure resilience is an important perspective for measuring the development quality of resilient cities and an important way to measure the level of infrastructure development. This paper uses the kernel density estimation, exploratory spatial data analysis, and spatial econometric models to analyze the characteristics of dynamic evolution and the spillover effects of the infrastructure resilience levels in 283 prefecture-level and above cities in China from 2010 to 2019. Our results are as follows. (1) The overall level of urban infrastructure resilience increased. The eastern region had a higher level than the national average. In contrast, the central, western and north-eastern regions had a slightly lower level than the national average. (2) The areas with high and higher resilience levels were mostly cities with more developed economic and social conditions in Eastern China. The areas below moderate resilience levels show a certain degree of clustering and mainly include some cities in Central, Western, and Northeast China. (3) The national level of urban infrastructure resilience shows significant spatial clustering characteristics, and the spatial pattern from coastal to inland regions presents a hotspot-subhotspot-subcoldspot-coldspot distribution. (4) There is a differential spatial spillover effect of national urban infrastructure resilience, which is gradually strengthened under the role of the economy, financial development, population agglomeration and government funding and weakened under the role of urbanization, market consumption and infrastructure investment. By exploring the dynamic evolution of infrastructure resilience in cities at the prefecture level and above and its spatial spillover effects, we provide a scientific basis for avoiding the siphoning effect among cities, improving the level of infrastructure resilience, and guiding the construction and development of resilient cities.
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Khairunnisa, Andi Aulia, and Fani Rahmasari. "Analysis of Factors Affecting GRDP per Capita in Eastern Indonesia: A Panel and Spatial Model Approach in the Context of the Planned Capital Relocation (IKN)." Publication of the International Journal and Academic Research 2, no. 1 (2025): 40–55. https://doi.org/10.63222/5f1pqb24.
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The Gross Regional Domestic Product (GRDP) per capita in Eastern Indonesia, particularly in provinces adjacent to the planned new capital city (IKN), is influenced by various economic and infrastructural factors. This study examines the impact of national road length, population density, foreign investment, the Human Development Index (HDI), and poverty levels on economic growth in the region. Using data from multiple provinces, the analysis employs panel data models (Pooled OLS, Fixed Effect, and Random Effect), spatial models (Spatial Durbin Model), and autoregressive tests to observe temporal relationships. The entire analysis is conducted using RStudio, allowing for efficient data processing and advanced econometric modeling. The findings indicate that infrastructure development (measured by national road length), population (in total population), and quality of life (measured by Human Development Index/HDI) have a statistically significant effect on GRDP per capita in Eastern Indonesia. Meanwhile, foreign direct investment (FDI) shows no significant influence in the model. Therefore, economic policies that incorporate spatial and temporal considerations especially those targeting infrastructure, demographic dynamics, and human development are crucial for fostering more equitable and sustainable growth across Eastern Indonesia.
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Khairunnisa, Andi Aulia, and Fani Rahmasari. "Analysis of Factors Affecting GRDP per Capita in Eastern Indonesia: A Panel and Spatial Model Approach in the Context of the Planned Capital Relocation (IKN)." Publication of the International Journal and Academic Research 2, no. 1 (2025): 40–55. https://doi.org/10.63222/pijar.v2i1.31.
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The Gross Regional Domestic Product (GRDP) per capita in Eastern Indonesia, particularly in provinces adjacent to the planned new capital city (IKN), is influenced by various economic and infrastructural factors. This study examines the impact of national road length, population density, foreign investment, the Human Development Index (HDI), and poverty levels on economic growth in the region. Using data from multiple provinces, the analysis employs panel data models (Pooled OLS, Fixed Effect, and Random Effect), spatial models (Spatial Durbin Model), and autoregressive tests to observe temporal relationships. The entire analysis is conducted using RStudio, allowing for efficient data processing and advanced econometric modeling. The findings indicate that infrastructure development (measured by national road length), population (in total population), and quality of life (measured by Human Development Index/HDI) have a statistically significant effect on GRDP per capita in Eastern Indonesia. Meanwhile, foreign direct investment (FDI) shows no significant influence in the model. Therefore, economic policies that incorporate spatial and temporal considerations especially those targeting infrastructure, demographic dynamics, and human development are crucial for fostering more equitable and sustainable growth across Eastern Indonesia.
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Seok, Sangmuk, and Jiyeong Lee. "A Study on Establishing Circulatory System for National Spatial Data Infrastructure Standardization in Korea." Journal of Korea Spatial Information Society 23, no. 4 (2015): 23–32. http://dx.doi.org/10.12672/ksis.2015.23.4.023.
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Ali, Asmat, Hammad Hussain, Rida Fatima, and Munir Ahmad. "The Barriers to Implementing National Spatial Data Infrastructure in Pakistan: Policy and Legislation Context." Journal of Public Policy Practitioners 3, no. 2 (2024): 17–51. https://doi.org/10.32350/jppp.32.02.
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In today’s world, information is the most valuable resource. Geospatial information, which refers to the location of various features on earth, plays a crucial role in policymaking, implementation, and monitoring the policy outcomes. The information about forests, roads, water bodies, health and education facilities, population, human settlements etc. is geospatial. Due to financial and human resource constraints a single government department cannot collect such diverse information. Therefore, each department is mandated to collect and maintain one particular type of information. The information collected is used as evidence in policymaking and to ensure its efficacy, various types of information collected by departments is integrated and utilized. The dilemma is, government departments often do not share their collected information, despite them being funded by public money. Consequently, informed decision-making is hampered. The reasons for non-sharing of the information may include lack of technical capacity, fear of loss of control over information assets, poor quality of the information and lack of legal and policy framework to share information. This article focuses on policy and legal barriers to geospatial information sharing in Pakistan. The study follows content analysis method, specifically used for deriving relevant information from the data. The data is collected through reviews of policy documents, minutes of meetings, and focused group discussions with experts on the subject. The article discusses how the current provisions are inadequate to deal with new developments in geospatial information sharing, and proposes recommendations for amending and updating existing laws and policies. The study finds that policymakers in Pakistan are still not aware of the potential of geospatial information and its sharing through NSDI for informing, and implementing public policies. Accordingly, the study recommends approving NSDI Act at the earliest.
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OLIVEIRA, Bruno Rodrigues de, Newton Moreira de SOUZA, Rafael Cerqueira SILVA, and Eleudo Esteves de Araujo SILVA JÚNIOR. "MODELING OF SPATIAL DATABASE FOR GEOTECNICAL DATA." Geosciences = Geociências 41, no. 2 (2022): 335–45. http://dx.doi.org/10.5016/geociencias.v41i02.16009.
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Geotechnical data is often produced and managed by several producers in isolation, in their own formats and standards, which aim to meet the unique needs of specific users. In the Federal District in Brazil there is a large amount of geotechnical data from academic research, public and private sector, but the Government of the Federal District does not have adequate geotechnical information management despite using of that information constantly. This work presents a conceptual model of a geotechnical database, more specifically for field investigations and laboratory tests. For modeling the object modeling technique for geographic application, adopted by the Spatial Data Infrastructure of the Federal District (IDE / DF), was used and compatible with the specifications approved by the National Cartography Commission, which defines data structure standards for large-scale topographic surveys facilitating the sharing of spatial data, interoperability and the rationalization of resources between producers and users of data and information map between different institutions. This approach will allow the implementation of the geotechnical data model proposed at SDB/DF and its future integration with National Spatial Data Bank (NSDB).
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Ahmad, Munir, Malik Sikandar Hayat Khayal, and Ali Tahir. "Analysis of Factors Affecting Adoption of Volunteered Geographic Information in the Context of National Spatial Data Infrastructure." ISPRS International Journal of Geo-Information 11, no. 2 (2022): 120. http://dx.doi.org/10.3390/ijgi11020120.
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Spatial data infrastructures (SDIs) have been implemented for the last four decades in most countries. One of the key objectives of SDIs is to ensure the quick availability and accessibility of spatial data. The success of SDI depends on the underlying spatial datasets. Many developing countries such as Pakistan are facing problems in implementing SDI because of the unavailability of spatial data. Volunteered Geographic Information (VGI) is an alternate source for obtaining spatial data. Therefore, the question is what factors hamper the adoption of VGI for making it part of SDI in Pakistan. The intention behind this paper is to explore such factors as the key research question. To do so, we make use of the Technology–Organization–Environment (TOE) framework along with the partial least square structural equation model (PLS-SEM) to empirically analyze the factors impeding VGI from becoming part of SDI in the country. The study concludes that many technical, organizational, and environmental factors affect the adoption of VGI to be part of SDI in Pakistan.
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Rahmawati, Hadiyah. "INDONESIA'S SPATIAL DATA INFRASTRUCTURE (CASE STUDY: BANGKALAN, SAMPANG AND BLITAR REGENCIES)." Journal of Marine-Earth Science and Technology 3, no. 3 (2023): 63–67. http://dx.doi.org/10.12962/j27745449.v3i3.613.
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The paper examines the current state of Spatial Data Infrastructure (SDI) in Indonesia, with a focus on identifying strengths, weaknesses, and organizational structures of the national SDIs. This paper aims to inform the design and implementation of a future regional SDI for the local government especially at the Bangkalan, Sampang and Blitar Regency. The evaluation is conducted using a survey with 46 questions, which assess the factors that affect execution the of SDI in the region. The survey is classified according to the five basic components of an SDI: policy elements, institutional elements, human resources, standard elements, geospatial data and information, and technology elements. The results of the survey are analyzed to identify the current state of SDI implementation in the region and to serve as a reference point for future updates. The paper concludes by highlighting the need for technical and organizational solutions to address present problems in the geospatial data management and interoperability in order to fully exploit the potential of geospatial information in decision making.
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Kondratenko, D. Y., and V. P. Stanislavskiy. "Legal issues of information interaction between the State Land Cadastre and the National Spatial Data Infrastructure." Analytical and Comparative Jurisprudence, no. 4 (September 14, 2023): 235–39. http://dx.doi.org/10.24144/2788-6018.2023.04.38.
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In Ukraine, the stages of land reform are actively being carried out in conjunction with the decentralization of power, within which local authorities have been granted powers and territories for management within newly formed territorial communities. They have been given the opportunity to fully dispose of their own resources and determine their future fate, ensuring control and effective management of community land resources.Under these circumstances, urgent issues arose regarding the lack and fragmentation of information about the state of these land territories, the efficiency of the registration system with a clearly defined legislative procedure, and an accessible mechanism for obtaining and using information for interested parties. Additionally, there is a need for information interaction between the State Land Cadastre and the National Spatial Data Infrastructure, as it is crucial for both the spatial development of territorial communities and the functioning of the State Geocadastre. Taking into account the adopted Concept of local self-governance and territorial power reforming in Ukraine, borrowing experience from European Union countries in the use of land and property resources, and spatial development is particularly important for Ukraine as a whole and especially for the organization of the functioning of territorial communities. These changes are extremely relevant in the context of Ukraine’s prospects for European integration. The changes in the exercise of powers related to spatial development and land relations, their fragmentation, and lack of coordination have significantly influenced the need to establish the National Spatial Data Infrastructure and amend the interaction and update the functioning of the State Geocadastre to reorient the back-office format, which will provide administration of the land cadastre and related databases.