Geographic information. Spatial Data Infrastructure. Service centric view

2015 ◽  
Keyword(s):  
Spatial Data ◽  
Geographic Information ◽  
Spatial Data Infrastructure ◽  
Data Infrastructure

scholarly journals Toward the Evolution of National Spatial Data Infrastructure Development in Indonesia

2019 ◽  
Vol 8 (6) ◽  
pp. 263
Author(s):  
Tandang Yuliadi Dwi Putra ◽  
Yoshihide Sekimoto ◽  
Ryosuke Shibasaki
Keyword(s):  
Spatial Data ◽  
Stakeholder Analysis ◽  
National Development ◽  
Geographic Information ◽  
Spatial Data Infrastructure ◽  
Infrastructure Development ◽  
Data Infrastructure ◽  
Early Introduction ◽  
Use Of Technology ◽  
Questionnaire Surveys

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.

From Print Formats to Digital

2011 ◽  
pp. 114-150 ◽  
Author(s):  
Ardis Hanson ◽  
Susan Jane Heron
Keyword(s):  
Spatial Data ◽  
Renewable Resource ◽  
Geographic Information ◽  
Spatial Data Infrastructure ◽  
Geospatial Data ◽  
Data Interoperability ◽  
Metadata Standard ◽  
Data Infrastructure ◽  
Automated Mapping ◽  
Geographic Data

The preceding chapter discussed how geographic and cartographic materials are traditionally described in libraries. With the growth of geospatial data, new methods of description needed to be developed to allow users, often with very different information needs, to find and retrieve relevant resources across different platforms and software systems. Geographic information systems are designed to allow the management of large quantities of spatially referenced information about natural and man-made environments, covering areas such as public health, urban and regional planning, disaster response and recovery, environmental assessments, wetlands delineation, renewable resource management, automated mapping/facilities management, and national defense. Powerful computers, advanced network capacities, and enhanced, distributed GIS software allowed the growth of the National Spatial Data Infrastructure (NSDI). Established by Executive Order 12906 in April 1994, the NSDI assembles “technology, policies, standards, and human resources to acquire, process, store, distribute, and improve utilization of geospatial data for a variety of users nationwide” (Federal Geographic Data Committee, 2006a). The goal of the NSDI is to “reduce duplication of effort among agencies, improve quality and reduce costs related to geographic information, to make geographic data more accessible to the public, to increase the benefits of using available data, and to establish key partnerships with states, counties, cities, tribal nations, academia and the private sector to increase data availability” (Federal Geographic Data Committee, 2006b). However, the success of a national spatial data infrastructure depends on the development of a series of standards for that infrastructure. Infrastructure components encompass a variety of elements. Hardware and physical facilities store, process, and transmit information; software applications and software allow access, structure, and manipulation of information; and network standards and transmission codes facilitate interorganizational and cross-system communication (Hanson, 2006). When reviewing standards for geospatial data, one must look at standards for cartography, hardware and software, telecommunications, and information technology standards at national and international levels. Several thousand standards apply to computers, and this can be multiplied geometrically, if not exponentially, with the advent of network standards and integrated data formats. This chapter will address standards in geospatial data, interoperability and transferability, mark-up languages, and the development of the federal metadata standard for geospatial information.

How to Improve the Social Utility Value of Geographic Information Systems for French Local Governments? A Delphi Study

2003 ◽  
Vol 30 (3) ◽  
pp. 429-447 ◽  
Author(s):  
Stéphane Roche ◽  
Karine Sureau ◽  
Claude Caron
Keyword(s):  
Spatial Data ◽  
Delphi Study ◽  
Local Governments ◽  
Geographic Information ◽  
Spatial Data Infrastructure ◽  
Social Utility ◽  
Utility Value ◽  
Data Infrastructure ◽  
The Social ◽  
Public Data

Today, geographic information technologies (GITs) stand out as the unavoidable answers to the French local governments' new stakes. Yet, an important discrepancy has been noticed between the utility levels (in the qualitative sense) and the theoretical intrinsic potential of these technologies. The social utility value of GIT seems quite low compared with the quantitative level at which they are diffused. The authors focus on the ‘determination of value’, by considering the obstacles to the development of a spatial data infrastructure in the French context. From the results of a Delphi study, the authors bring to the fore the fact that the institutional and organisational barriers 0ack of a clear policy in matters of access and dissemination; cost of public data; absence of fully operational norms and standards; failure to raise the awareness of the potential users as a whole; etc) more than technical difficulties, are the prime causes of this phenomenon. Through this analysis, the authors emphasise the need to organise a French national spatial data infrastructure, strongly linked with most of the local initiatives developed by the local governments.

Spatial Data Infrastructures in Morocco (From the Diagnosis to the Success of the Implementation)

2019 ◽  
pp. 64-81
Author(s):  
Elmostaphi Elomari ◽  
Hassan Rhinane
Keyword(s):  
Spatial Data ◽  
Geographic Information ◽  
Spatial Data Infrastructure ◽  
Geographical Information ◽  
Collection Management ◽  
Data Systems ◽  
Data Infrastructure ◽  
Information Governance ◽  
Data Infrastructures ◽  
Current Context

A spatial data infrastructure (SDI) is a platform for coordinating the exchange and sharing of spatial data between several producers or users of spatially referenced data. In Morocco, there is a massive production of spatial data and several generally public administrations are starting to feel the need for geographic information governance through a mechanism of exchange and management of data to optimize their efforts and avoid a redundant production. The purpose of this chapter is to draw up an inventory of the state of the art of geo-spatial data, systems, and tools existing in the central administrations in Morocco in relation with the collection, management, storage, and dissemination of geographical information. Through this study, it was found that the problem is more a question of global governance, and that the current context has assets for the establishment of a spatial data infrastructure in Morocco.

scholarly journals Acesso à informação geográfica: reflexões sobre a importância das Infraestruturas de Dados Espaciais (IDE) nas políticas públicas │ Geographic information access: thoughts on the importance of spatial data infrastructures

2013 ◽  
Vol 9 (2) ◽  
Author(s):  
Cely Martins Santos de Alencar ◽  
Plácida Leopoldina V. A. da Costa Santos
Keyword(s):  
Decision Making ◽  
Spatial Data ◽  
Public Management ◽  
Public Policies ◽  
Information Access ◽  
Geographic Information ◽  
Spatial Data Infrastructure ◽  
Data Infrastructure ◽  
The Public ◽  
Implementation Stages

Resumo O presente artigo discute o acesso à informação geográfica e sua importância na formulação de políticas públicas, refletindo sobre a implantação da Infraestrutura de Dados Espaciais (IDE). A visualização dos dados e a construção de mapas são úteis na identificação de demandas e para subsidiar os gestores públicos na tomada de decisão. As fases de implementação das políticas públicas são otimizadas quando as informações quantitativas e qualitativas estão integradas as relações dos fenômenos espaciais. Progressos na utilização de informação geográfica para a tomada de decisão serão alcançados quando os dados espaciais forem gestados eficientemente em infraestruturas de dados espaciais.Palavras-chave Dados, Informação Geográfica, Infraestrutura de Dados Espaciais (IDE), Gestão pública, Políticas Públicas.Abstract This article discusses the access to geographic information and its importance for the public policies formulation, reflecting on the implementation of the Spatial Data Infrastructure. The data view and the maps construction are useful for identifying needs and sponsoring public managers in decision making. The public policies implementation stages are optimized when the quantitative and qualitative information are integrated to the spatial phenomena relations. The improvement in the use of geographic information for decision making will beachieved when spatial data are efficiently generated in spatial data infrastructures.Keywords Data, Geographic Information, Spatial Data Infrastructure (SDI), Public Management, Public Policies.

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

2021 ◽  
Vol 53 (1) ◽  
pp. 13-20
Author(s):  
Danylo Kin ◽  
Nadiia Lazorenko-Hevel
Keyword(s):  
Data Quality ◽  
Spatial Data ◽  
Quality Evaluation ◽  
Geographic Information ◽  
Spatial Data Infrastructure ◽  
Geospatial Data ◽  
Data Infrastructure ◽  
International Standard ◽  
Geospatial Datasets

Abstract 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.

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