Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
56,001
result(s) for
"Open data"
Sort by:
An Overview of Platforms for Big Earth Observation Data Management and Analysis
In recent years, Earth observation (EO) satellites have generated big amounts of geospatial data that are freely available for society and researchers. This scenario brings challenges for traditional spatial data infrastructures (SDI) to properly store, process, disseminate and analyze these big data sets. To meet these demands, novel technologies have been proposed and developed, based on cloud computing and distributed systems, such as array database systems, MapReduce systems and web services to access and process big Earth observation data. Currently, these technologies have been integrated into cutting edge platforms in order to support a new generation of SDI for big Earth observation data. This paper presents an overview of seven platforms for big Earth observation data management and analysis—Google Earth Engine (GEE), Sentinel Hub, Open Data Cube (ODC), System for Earth Observation Data Access, Processing and Analysis for Land Monitoring (SEPAL), openEO, JEODPP, and pipsCloud. We also provide a comparison of these platforms according to criteria that represent capabilities of the EO community interest.
Journal Article
A novel blockchain-based clustering model for linked open data storage and retrieval
In recent years, organizations have increasingly adopted blockchain technology to facilitate the open sharing of data with other entities. However, despite its potential benefits, blockchain-based open data models face several challenges, including scalability, timely access, and privacy concerns. This paper introduces a Novel Blockchain-based Clustering Model for Linked Open Data Storage and Retrieval called BCLOD to address these challenges. Initially, network nodes are organized into clusters, and transactions from users within each cluster are then grouped into a proposed linked block specific to that cluster to preserve linked open data property. Additionally, we introduce a new partial block structure, which stores parts of the linked block. To enhance scalability and trustworthiness, we propose the structures of partial and full chains in BCLOD for storing the linked and the partial blocks. Furthermore, a two-layer Role-Based Access Control (RBAC) mechanism is introduced to safeguard user privacy. To validate the effectiveness of BCLOD, we conduct evaluations using various scenarios. The results demonstrate a significant reduction in the required storage space for both partial and full chains when compared to the traditional blockchains. Besides, BCLOD prevents fork occurrences and potential attacks such as Sybil, Distributed Denial of Service (DDoS), and Eclipse.
Journal Article
Arduino for dummies
Whether you're an artist, designer, programmer or hobbyist, Arduino lets you learn about and play with electronics. Discover how to build a variety of circuits that can sense or control real-world objects, prototype your own product, and even create interactive artwork.
Book
Increasing Continuous Engagement With Open Government Data: Learning From the Saudi Experience
A number of countries are today implementing open government data (OGD) initiatives. Yet many of these initiatives are failing to attract the levels of continuous use they need to deliver an acceptable return on investment. This raises the obvious question of why this should be the case. To answer this question, it is important to understand the factors that most strongly influence user behaviour in OGD adoption. Qualitative data were used to identify the factors that play a key role in influencing the intention to engage with ODG. A quantitative approach was then used to evaluate the extent to which these factors drive/limit behaviour. The study's findings showed that there are four factors that play a significant role in intention to use OGD. It is also believed that the findings will be useful in helping policymakers in all jurisdictions formulate and implement strategies that successfully drive up continuous OGD engagement.
Journal Article
Open Government Data in Gulf Cooperation Council Countries: An Analysis of Progress
Open government data (OGD) has been introduced relatively recently in Gulf Cooperation Council Countries (GCC Countries). However, progress has been significantly less than either hoped for or expected. The purpose of this research is to explore the reasons for this lack of progress. To do so, the attitudes and views of a range of senior government department (OGD-related) personnel were sought, using semi-structured interviews, and the results examined using thematic analysis. Unlike existing studies, which focus on external barriers to progress, this study focuses on internal factors which can result in a lack of progress to implementation, such as leadership attitudes, organisational culture and fear of failure. The findings show that considerable changes are required at both an ideological and practical level, if the gap between expectation and reality is to be closed. The paper concludes with recommendations of specific actions that can be taken to close this gap and the identification of areas where further study would be useful.
Journal Article
Provision and usage of open government data: strategic transformation paths
Purpose
To create the expected value and benefits through open data, appropriate provision and usage of data are required simultaneously. However, the level of provision and usage of open data differs from country to country. Moreover, previous research on open data has only focused on either open data provision or usage. To fill the research gap, the purpose of this paper is threefold: first, to understand the current status of the provision and usage of open data; second, to identify patterns in the provision and usage of open data; and third, to provide appropriate future directions and guidelines for the transformation paths of each pattern.
Design/methodology/approach
The authors analyzed the data collected from open data portals of 13 countries that provide information on the provision and usage of open data together.
Findings
The authors identified four patterns of the provision and usage of open data, namely, availability-driven, government-driven, market-driven and interaction-driven patterns. Furthermore, three strategic paths of transformation reach a high level of open data provision and usage, namely, data provision-focused, data usage-focused and balanced transformation paths.
Originality/value
This study provides a foundation that enables researchers to build a holistic theory that can integrate fragmented and incomplete knowledge of open data and usage, particularly in the context of government.
Journal Article