Human Resource Development in Geospatial Data Modeling and Services for Better Realization of National Spatial Data Infrastructure

2018 ◽  
pp. 75-89
Author(s):  
S. K. Ghosh
Keyword(s):  
Human Resource Development ◽  
Human Resource ◽  
Spatial Data ◽  
Data Modeling ◽  
Resource Development ◽  
Spatial Data Infrastructure ◽  
Geospatial Data ◽  
Data Infrastructure

scholarly journals DETERMINANT FACTORS OF SPATIAL DATA SHARING OF LOCAL SPATIAL DATA INFRASTRUCTURE IN INDONESIA

GEOMATIKA ◽  
2018 ◽  
Vol 24 (1) ◽  
pp. 1
Author(s):  
Bau Asseng ◽  
Zulkarnain Abdul Rahman ◽  
Mohamad Nor Said
Keyword(s):  
Data Sharing ◽  
Human Resource ◽  
Spatial Data ◽  
Structural Model ◽  
Partial Least Square ◽  
Spatial Data Infrastructure ◽  
Least Square ◽  
Validity And Reliability ◽  
Data Infrastructure ◽  
Determinant Factors

<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>

scholarly journals NATIONAL SPATIAL DATA INFRASTRUCTURE (NSDI) OF BANGLADESH – DEVELOPMENT, PROGRESS AND WAY FORWARD

2020 ◽  
Vol V-4-2020 ◽  
pp. 131-138
Author(s):  
M. M. Rahman ◽  
G. Szabó
Keyword(s):  
Data Sharing ◽  
Spatial Data ◽  
Institutional Arrangements ◽  
Spatial Data Infrastructure ◽  
Geospatial Data ◽  
Financial Resources ◽  
Metadata Standard ◽  
Data Infrastructure ◽  
Data Production ◽  
Platform Development

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.

scholarly journals DEVELOPMENT OF A FRAMEWORK FOR IMPLEMENTING 3D SPATIAL DATA INFRASTRUCTURE IN OMAN – ISSUES AND CHALLENGES

2018 ◽  
Vol XLII-4/W9 ◽  
pp. 243-246
Author(s):  
K. Al Kalbani ◽  
A. Abdul Rahman ◽  
T. Al Awadhi ◽  
F. Alshannaq
Keyword(s):  
Spatial Data ◽  
The State ◽  
Spatial Data Infrastructure ◽  
Geospatial Data ◽  
Data Infrastructure ◽  
2D And 3D

<p><strong>Abstract.</strong> The paper reviews that there are several issues and challenges in order to implement full 2D and 3D Spatial Data Infrastructure (SDI) in Oman. The state of current 2D SDI and 3D geospatial data has been investigated. Currently, Oman has made noticeable progress in 2D SDI but not yet in 3D domain. To date, there are no serious efforts and initiatives by the authority to materialize the 3D SDI. This paper ends by describing a framework for implementing the 3D SDI. We expect, these issues and challenges of 3D SDI in Oman can prompt better services for several potential users.</p>

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 Challenges in sharing of geospatial data by data custodians in South Africa

2018 ◽  
Vol 1 ◽  
pp. 1-6
Author(s):  
Sissiel E. Kay
Keyword(s):  
South Africa ◽  
South African ◽  
Data Sharing ◽  
Spatial Data ◽  
Development Planning ◽  
Spatial Data Infrastructure ◽  
Geospatial Data ◽  
The South ◽  
Data Infrastructure ◽  
Data Custodian

As most development planning and rendering of public services happens at a place or in a space, geospatial data is required. This geospatial data is best managed through a spatial data infrastructure, which has as a key objective to share geospatial data. The collection and maintenance of geospatial data is expensive and time consuming and so the principle of “collect once &amp;ndash; use many times” should apply. It is best to obtain the geospatial data from the authoritative source &amp;ndash; the appointed data custodian. In South Africa the South African Spatial Data Infrastructure (SASDI) is the means to achieve the requirement for geospatial data sharing. This requires geospatial data sharing to take place between the data custodian and the user. All data custodians are expected to comply with the Spatial Data Infrastructure Act (SDI Act) in terms of geo-spatial data sharing. Currently data custodians are experiencing challenges with regard to the sharing of geospatial data.<br> This research is based on the current ten data themes selected by the Committee for Spatial Information and the organisations identified as the data custodians for these ten data themes. The objectives are to determine whether the identified data custodians comply with the SDI Act with respect to geospatial data sharing, and if not what are the reasons for this. Through an international comparative assessment it then determines if the compliance with the SDI Act is not too onerous on the data custodians.<br> The research concludes that there are challenges with geospatial data sharing in South Africa and that the data custodians only partially comply with the SDI Act in terms of geospatial data sharing. However, it is shown that the South African legislation is not too onerous on the data custodians.

scholarly journals A Spatial Data Infrastructure Integrating Multisource Heterogeneous Geospatial Data and Time Series: A Study Case in Agriculture

2016 ◽  
Vol 5 (5) ◽  
pp. 73 ◽  
Author(s):  
Gloria Bordogna ◽  
Tomáš Kliment ◽  
Luca Frigerio ◽  
Pietro Brivio ◽  
Alberto Crema ◽  
...  
Keyword(s):  
Time Series ◽  
Spatial Data ◽  
Spatial Data Infrastructure ◽  
Geospatial Data ◽  
Data Infrastructure ◽  
Study Case

scholarly journals OnoM@p : a Spatial Data Infrastructure dedicated to noise monitoring based on volunteers measurements

2016 ◽  
Author(s):  
Erwan Bocher ◽  
Gwendall Petit ◽  
Nicolas Fortin ◽  
Judicaël Picaut ◽  
Gwenaël Guillaume ◽  
...  
Keyword(s):  
Open Source ◽  
Spatial Data ◽  
Noise Exposure ◽  
Environmental Noise ◽  
Spatial Data Infrastructure ◽  
Geospatial Data ◽  
Android Application ◽  
Data Infrastructure ◽  
Good Practices ◽  
Integrated Platform

The present paper proposes an ideal Spatial Data Infrastructure (SDI) dedicated to noise monitoring based on volunteers measurements. Called OnoM@P, it takes advantage of the geospatial standards and open source tools to build an integrated platform to manage the whole knowledge about a territory and to observe its dynamics. It intends also to diffuse good practices to organize, collect, represent and process geospatial data in field of acoustic researches. OnoM@p falls within the framework of the Environmental Noise Directive (END) 2002/49/CE. The system relies on the NoiseCapture Android application developed for allowing each citizen to estimate its own noise exposure with its smartphone.

scholarly journals OnoM@p : a Spatial Data Infrastructure dedicated to noise monitoring based on volunteers measurements

2016 ◽  
Author(s):  
Erwan Bocher ◽  
Gwendall Petit ◽  
Nicolas Fortin ◽  
Judicaël Picaut ◽  
Gwenaël Guillaume ◽  
...  
Keyword(s):  
Open Source ◽  
Spatial Data ◽  
Noise Exposure ◽  
Environmental Noise ◽  
Spatial Data Infrastructure ◽  
Geospatial Data ◽  
Android Application ◽  
Data Infrastructure ◽  
Good Practices ◽  
Integrated Platform

The present paper proposes an ideal Spatial Data Infrastructure (SDI) dedicated to noise monitoring based on volunteers measurements. Called OnoM@P, it takes advantage of the geospatial standards and open source tools to build an integrated platform to manage the whole knowledge about a territory and to observe its dynamics. It intends also to diffuse good practices to organize, collect, represent and process geospatial data in field of acoustic researches. OnoM@p falls within the framework of the Environmental Noise Directive (END) 2002/49/CE. The system relies on the NoiseCapture Android application developed for allowing each citizen to estimate its own noise exposure with its smartphone.

scholarly journals OnoM@p : a Spatial Data Infrastructure dedicated to noise monitoring based on volunteers measurements

2016 ◽  
Author(s):  
Erwan Bocher ◽  
Gwendall Petit ◽  
Nicolas Fortin ◽  
Judicaël Picaut ◽  
Gwenaël Guillaume ◽  
...  
Keyword(s):  
Open Source ◽  
Spatial Data ◽  
Noise Exposure ◽  
Environmental Noise ◽  
Spatial Data Infrastructure ◽  
Geospatial Data ◽  
Android Application ◽  
Data Infrastructure ◽  
Good Practices ◽  
Integrated Platform

The present paper proposes an ideal Spatial Data Infrastructure (SDI) dedicated to noise monitoring based on volunteers measurements. Called OnoM@P, it takes advantage of the geospatial standards and open source tools to build an integrated platform to manage the whole knowledge about a territory and to observe its dynamics. It intends also to diffuse good practices to organize, collect, represent and process geospatial data in field of acoustic researches. OnoM@p falls within the framework of the Environmental Noise Directive (END) 2002/49/CE. The system relies on the NoiseCapture Android application developed for allowing each citizen to estimate its own noise exposure with its smartphone.

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

2020 ◽  
Vol 5 (1) ◽  
pp. 106
Author(s):  
Milot Lubishtani ◽  
Bashkim Idrizi ◽  
Subija Izeiroski ◽  
Fitore Bajrami Lubishtani
Keyword(s):  
Spatial Data ◽  
Spatial Data Infrastructure ◽  
Geospatial Data ◽  
Global Level ◽  
Data Set ◽  
Data Infrastructure ◽  
Creative Commons ◽  
Global Mapping ◽  
The Right

Today, the development of economic and financial situation concerning the protection of environment and natural resources in a wider scope depends on the use of geospatial data.  One of the main aims of the infrastructural organization of geospatial data is to provide users to be capable of acquiring complete, exact and updated dataset at the right time. This is necessary for providing an ideal environment, where all stakeholders can work collaboratively in an effective way, in order to solve environmental issues and to achieve their targets. Global Mapping (GM), a project established by United Nations, is one of the crucial contributions to the development of Global Spatial Data Infrastructure (GSDI). This case study on Albanian GM dataset was aimed at performing analyses of infrastructural organization of geospatial data in global-intercontinental level. Data standardization of GM as contributor of GSDI was analyzed through developed Albanian GM dataset. The main components taken into consideration for performing research analyses were data and metadata, technology, institutional framework, policies, interoperability, network services, search opportunities, and data sharing within GSDI. The main findings of this study are the necessity of infrastructural organization of geospatial data in the global level, known as GSDI, by including official geospatial datasets developed by the national mapping organizations of countries all over the world, in order to be used for environmental monitoring and protection, as well as for early warning management in international level. Finally, based on the research results, four conclusions for GSDI are offered, in order to be considered as guideline for further development of unified and globally homogeneous infrastructure of spatial data set. Keywords: GSDI; GM; spatial data infrastructure; Albania. Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

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