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The purpose of this paper is to explain the rise of geospatial data, its importance for business and some of the problems associated with its development and use.

The paper reviews a certain amount of previously published literature but is based mainly on analysis of the very large number of responses to a consultation paper on geospatial data published by the UK Government.

The findings are that while there is strong appreciation of the potential benefits of using geospatial data, there are many barriers to the development, sharing and use of geospatial data, ranging from problems of incompatibility in data definitions and systems to regulatory issues. The implication for governments and for providers and users of geospatial data relates to the need to take a long-term approach to planning in resolving the issues identified.

The research findings are limited to the UK, but similar findings would be likely in any other large Western country.

This paper confirms the need for a strong and coherent approach to the planning of geospatial data and systems for the establishment of a clear basis for the different parties to work together and the need to clearly separate the roles of the government in establishing frameworks and standards and the role of the private sector in developing applications and solutions.

Society is increasingly dependent on the use of geospatial data, in improving living standards and dealing with social problems. The recommendations identified in this paper, if followed, will facilitate these improvements.

The value of this paper is the tight synthesis that it provides of a wide ranging and complex range of responses to the UK Government consultation and placing these responses in the wider context of the development of geospatial data.

The purpose of this paper is to examine the application of geographic information systems as a decision support system in analyzing geospatial data in the databases of an academic library.

In this study, after separation, the data on control, classification and coding of the geospatial information existing in an academic library's databases were entered into a geographic information system. Then, using the ArcGIS software and its program (ArcMap), the data were shown, described and analyzed based on existing needs and various indicators.

After performing various stages of this research, the geographic information system indicates a range of features as follows: display and localization of the research done on different maps; providing a variety of descriptive information on the features available on the system maps; data analysis and evaluation, based on existing needs and various indicators such as research location, university conducting research, date of research, educational course, etc.; evaluation and comparison of universities and research centers with one another in terms of spatial distribution of their scientific geospatial information; performing various calculations to determine and analyze the spatial relationships of data, for example determining distance of research location from the university; and the possibility of reporting a variety of attribute and spatial information of the system.

By using the analysis functions of the system and other logical and various applications, the database can be prepared to answer the questions raised by the users and the results will be very valuable in the process of decision making and planning in academic libraries and research centers.

This paper aims to provide an introduction to core geographic information systems (GIS) concepts, prominent GIS software, the role of libraries in providing GIS services and support and resources for professional library staff to increase GIS knowledge and skills to fulfill the mission of serving the information needs of library patrons.

This paper provides an overview of GISs core concepts and terminologies, Library GIS services and resources for library staff development.

As GISs are being used by researchers in an ever-growing number of disciplines, librarians must increase their proficiency with geospatial technologies.

While GISs have been used by certain researcher populations for some time, the increased use of such geospatial technologies creates a need for librarians who possess the skills and knowledge to assist patrons with their GIS needs. This paper introduces professional library staff to important GIS concepts, potential GIS services and resources to increase library staff’s competence with GISs.

As stated in the United Nations Global Assessment Report 2022 Concept Note, decision-makers everywhere need data and statistics that are accurate, timely, sufficiently disaggregated, relevant, accessible and easy to use. The purpose of this paper is to demonstrate scalable and replicable methods to advance and integrate the use of earth observation (EO), specifically ongoing efforts within the Group on Earth Observations (GEO) Work Programme and the Committee on Earth Observation Satellites (CEOS) Work Plan, to support risk-informed decision-making, based on documented national and subnational needs and requirements.

Promotion of open data sharing and geospatial technology solutions at national and subnational scales encourages the accelerated implementation of successful EO applications. These solutions may also be linked to specific Sendai Framework for Disaster Risk Reduction (DRR) 2015–2030 Global Targets that provide trusted answers to risk-oriented decision frameworks, as well as critical synergies between the Sendai Framework and the 2030 Agenda for Sustainable Development. This paper provides examples of these efforts in the form of platforms and knowledge hubs that leverage latest developments in analysis ready data and support evidence-based DRR measures.

The climate crisis is forcing countries to face unprecedented frequency and severity of disasters. At the same time, there are growing demands to respond to policy at the national and international level. EOs offer insights and intelligence for evidence-based policy development and decision-making to support key aspects of the Sendai Framework. The GEO DRR Working Group and CEOS Working Group Disasters are ideally placed to help national government agencies, particularly national Sendai focal points to learn more about EOs and understand their role in supporting DRR.

The unique perspective of EOs provide unrealized value to decision-makers addressing DRR. This paper highlights tangible methods and practices that leverage free and open source EO insights that can benefit all DRR practitioners.

The paper aims to report on a project that was a unique collaboration between a map librarian and a geography faculty member which resulted in the successful creation of set of standard procedures developed for the collection of metadata from paper maps in a library collection for inclusion in the national spatial data infrastructure (NSDI).

Metadata were collected using a set of tools from the USGS and provided to the public for free, and collection was performed by graduate students in geography. The rest of the paper is a qualitative description about the project and applications for future use.

The end result was the creation of a manner in which map collections can become more visible to users and ultimately to the world at large. More than 1,000 maps have been cataloged using these procedures. The procedures created from this project can also be used by any library with a map collection interested in increasing access to map collections by means of geospatial data clearinghouses and the NSDI.

In general, map libraries and map librarians should start to look at how they are providing access to not only their digital collections, but also their paper collections and to begin experimenting with non‐traditional means of cataloging their collections and providing access. This paper is an example of such means.

Prior efforts in this realm only examined the inclusion of digital geospatial data for inclusion in an NSDI.

This paper describes a set of collection development strategies for use in the identification, evaluation and selection of numeric data resources. It addresses three primary issues: the delineation of collecting scope and organisational role; the identification of potentially relevant data resources; and the evaluation of those resources in accordance with objective, systematic criteria. The policies outlined here can be applied to both print and digital resources, including machine‐readable data files, reference books, graphs and charts, genetic sequence data, and geospatial (GIS) files. The paper concludes with a discussion of unresolved issues in the acquisition and archiving of numeric data files.

The aim of this paper was to explore digital preservation requirements within the wider National Geoscience Data Centre (NGDC) organisational framework in preparation for developing a preservation policy and integrating associated preservation workflows throughout the existing research data management processes. This case study is based on an MSc dissertation research undertaken at Northumbria University.

This mixed methods case study used quantitative and qualitative data to explore the preservation requirements and triangulation to strengthen the design validity. Corporate and the wider scientific priorities were identified through literature and a stakeholder survey. Organisational preparedness was investigated through staff interviews.

Stakeholders expect data to be reliable, reusable and available in preferred formats. To ensure digital continuity, the creation of high-quality metadata is critical, and data depositors need data management training to achieve this. Recommendations include completing a risk assessment, creating a digital asset register and a technology watch to mitigate against risks.

The main constraint in this study is the lack of generalisability of results. As the NGDC is a unique organisation, it may not be possible to generalise the organisational findings, although those relating to research data management may be transferrable.

This research examines the specific nature of geoscience data retention requirements and looks at existing NGDC procedures in terms of enhancing digital continuity, providing new knowledge on the preservation requirements for a number of national datasets.

Cornell University's Albert R. Mann Library was featured in a 1994 Library Hi Tech issue as a prototype of the electronic library. Mann Library, the winner of the American Library Association's first Library of the Future award, presented its systematic approach to creating a new digital research library, an approach that employs modern methods rooted in classic principles to form a vibrant, organic whole by integrating the print and the digital library. Mann's approach is based on having a clear understanding of what our mission is and constantly rethinking what we are doing to achieve it. Consequently, a lot has happened at Mann since 1994. This article describes the library's new program of instructional technology support, while a series of short reports focus on some of the other Mann Library projects.

The geographic information systems (GIS) sector is witnessing significant growth in recent times at the global level and in the Kingdom of Saudi Arabia at the same pace. In this research, the authors aim to measure the GIS market employability in the Kingdom of Saudi Arabia, the required skills of those seeking GIS employees, existing knowledge and abilities of graduates of relevant academic programs and gaps, if any, between the graduates and the labor market requirements in terms of GIS. Research on GIS education and GIS employability from an information system perspective is scarce; thus, this study is needed.

In this study, a questionnaire was distributed manually and electronically to a specific group of GIS students, teachers and employees. The questionnaire was prepared in Arabic and English language. It was distributed manually to the attendees of the 12th GIS Symposium, organized by Imam Abdulrahman Bin Faisal University at Dammam city, Saudi Arabia in April of 2018. The event is a yearly one that gathers local GIS community and outside speakers and guests. An electronic version of the questionnaire was also available and distributed via personal contacts. Responses were received until the end of 2019.

The results of 107 respondents indicates good GIS foundation (for example in topology, geospatial data processing and cartography); however, programming and business skills (namely cost benefit analysis, organizational perspective and business understanding) are lacking from Saudi GIS graduates. About 67% of respondents acknowledge directly that it is difficult to find locally qualified GIS graduates. Moreover, 55% of respondents classify GIS job candidates as underqualified. This research identifies under qualification in business competencies and computer programming skills for GIS students and workers in Saudi Arabia. This research did not find a statistically significant different response between GIS teachers and GIS employees/employers; however, students’ response was significantly different from these two groups.

Research on GIS education and GIS employability from an Information System perspective is scarce; thus, this study is needed. Moreover, research about this topic in Saudi Arabia and the Arabian Gulf is almost nonexistent.

Cloud computing promises dependable services offered through next-generation data centres based on virtualization technologies for computation, network and storage. Big Data Applications have been made viable by cloud computing technologies due to the tremendous expansion of data. Disaster management is one of the areas where big data applications are rapidly being deployed. This study looks at how big data is being used in conjunction with cloud computing to increase disaster risk reduction (DRR). This paper aims to explore and review the existing framework for big data used in disaster management and to provide an insightful view of how cloud-based big data platform toward DRR is applied.

A systematic mapping study is conducted to answer four research questions with papers related to Big Data Analytics, cloud computing and disaster management ranging from the year 2013 to 2019. A total of 26 papers were finalised after going through five steps of systematic mapping.

Findings are based on each research question.

A specific study on big data platforms on the application of disaster management, in general is still limited. The lack of study in this field is opened for further research sources.

In terms of technology, research in DRR leverage on existing big data platform is still lacking. In terms of data, many disaster data are available, but scientists still struggle to learn and listen to the data and take more proactive disaster preparedness.

This study shows that a very famous platform selected by researchers is central processing unit based processing, namely, Apache Hadoop. Apache Spark which uses memory processing requires a big capacity of memory, therefore this is less preferred in the world of research.