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 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.

scholarly journals Evaluasi Kesiapan Implementasi Infrastruktur Data Spasial untuk Manajemen Penanggulangan Bencana

2018 ◽  
Vol 2017 (1) ◽  
Author(s):  
Herlina ◽  
Sumarno ◽  
Indrianawati
Keyword(s):  
Decision Making ◽  
Disaster Management ◽  
Spatial Data ◽  
Data Access ◽  
Spatial Data Infrastructure ◽  
Data Availability ◽  
Geospatial Information ◽  
Data Infrastructure ◽  
Ease Of Access ◽  
Interview Questionnaire

ABSTRAK Akses data spasial yang cepat dan akurat mempunyai peranan yang penting dalam pengambilan keputusan untuk manajemen penanggulangan bencana. Infrastruktur Data Spasial (IDS) merupakan suatu cara untuk memudahkan pengguna untuk mengakses data spasial secara konsisten, mudah, dan aman. Dengan kata lain, IDS dapat meningkatkan ketersediaan data, kemudahan dalam akses, dan implementasi data spasial dalam pengambilan keputusan. Dalam hal manajemen penanggulangan bencana, BPBD dan stakeholder kebencanaan Kabupaten Bandung belum mengimplementasikan IDS kebencanaan. Tujuan penelitian ini adalah menentukan model IDS kebencanaan dan mengevaluasi kesiapan implementasi dalam manajemen penanggulangan bencana di Kabupaten Bandung. Metode yang digunakan dalam penelitian adalah penentuan model IDS kebencanaan yang mengacu pada model IDS yang dirumuskan oleh Rajabifard kemudian didetailkan dengan indikator penilaian IDS yang dikeluarkan Badan Informasi Geospasial tahun 2016. Pengambilan data dilakukan pada 18 stakeholder kebencanaan Kabupaten Bandung dengan wawancara, kuesioner, dan penilaian melalui website. Hasil evaluasi dari kesiapan implementasi IDS kebencanaan Kabupaten Bandung adalah 45,8%. Kata kunci: Infrastruktur Data Spasial, Manajemen Penanggulangan Bencana, Kabupaten Bandung ABSTRACT Fast and accurate spatial data access has an important role in decision making for disaster management. Spatial Data Infrastructure (SDI) is a way to facilitate the users to access spatial data consistently, easily, and safety. In the case, SDI can improve data availability, ease of access and implementation of spatial data for decision making. In disaster management, BPBD and disaster stakeholders in Bandung District have not implemented SDI of disaster. The objective of this study is to determine the SDI model of disaster and evaluate the readiness of implementation in disaster management in Bandung District. The method used in this study is determining SDI model of disaster, referred to IDS model which is formulated by Rajabifard, and then the SDI model of disaster is detailed by SDI assessment indicator issued by Geospatial Information Agency (2016). The data collection has been taken on 18 disaster stakeholders in Bandung District with interview, questionnaire, and assessment through the website. The evaluation result of the readiness of implementation the SDI of disaster in Bandung District is 45.8%. Keywords: Spatial Data Infrastructure, Disaster Management, Bandung District

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.

scholarly journals Reference Data as a Basis for National Spatial Data Infrastructure

2012 ◽  
Vol 9 ◽  
pp. 51-62
Author(s):  
Tomáš Mildorf ◽  
Václav Čada
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Spatial Data ◽  
Reference Data ◽  
Spatial Data Infrastructure ◽  
Coordination Mechanisms ◽  
Substantial Part ◽  
Data Infrastructure ◽  
Efficient Data ◽  
Decision Making Processes

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.

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.

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