Trust in open data applications through transparency

2020 ◽  
pp. 146144482097970
Author(s):  
Christian Wiencierz ◽  
Marco Lünich
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Open Data ◽  
Application Process ◽  
Data Application ◽  
User Data ◽  
Data Ecosystem

Open data provide great potential for society, for example, in the field of smart cities, from which all citizens might profit. The trust of these citizens is important for the integration of various data, like sensitive user data, into an open data ecosystem. In the following study, we analyzed whether transparency about the application of open data promotes trust. Furthermore, we formulated guidelines on how to create transparency regarding open data in an ethical way. Using an open-data-based fictitious smart city app, we conducted an experiment analyzing to what extent communication of the technical open data application process and the ethical self-commitment for the transparent communication of data application affect trust in the app’s provider. The results indicate that the more information users obtain regarding the use of open data, the more trustworthy they perceive the app provider to be, and the more likely they are to use the app.

scholarly journals Where’s the database in digital ethnography? Exploring database ethnography for open data research

2019 ◽  
Vol 20 (5) ◽  
pp. 598-616 ◽  
Author(s):  
Ryan Burns ◽  
Grace Wark
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Open Data ◽  
Urban Life ◽  
Data Types ◽  
Digital Ethnography ◽  
Fundamental Dimension ◽  
Recent Trends ◽  
Technical Specifications ◽  
The City

Contemporary cities are witnessing momentous shifts in how institutions and individuals produce and circulate data. Despite recent trends claiming that anyone can create and use data, cities remain marked by persistently uneven access and usage of digital technologies. This is the case as well within the emergent phenomenon of the ‘smart city,’ where open data are a key strategy for achieving ‘smartness,’ and increasingly constitute a fundamental dimension of urban life, governance, economic activity, and epistemology. The digital ethnography has extended traditional ethnographic research practices into such digital realms, yet its applicability within open data and smart cities is unclear. The method has tended to overlook the important roles of particular digital artifacts such as the database in structuring and producing knowledge. In this paper, we develop the database ethnography as a rich methodological resource for open data research. This approach centers the database as a key site for the production and materialization of social meaning. The database ethnography draws attention to the ways digital choices and practices—around database design, schema, data models, and so on—leave traces through time. From these traces, we may infer lessons about how phenomena come to be encoded as data and acted upon in urban contexts. Open databases are, in other words, key ways in which knowledges about the smart city are framed, delimited, and represented. More specifically, we argue that open databases limit data types, categorize and classify data to align with technical specifications, reflect the database designer’s episteme, and (re)produce conceptions of the world. We substantiate these claims through a database ethnography of the open data portal for the city of Calgary, in Western Canada.

scholarly journals Open Data Based Machine Learning Applications in Smart Cities: A Systematic Literature Review

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2997
Author(s):  
Luminita Hurbean ◽  
Doina Danaiata ◽  
Florin Militaru ◽  
Andrei-Mihail Dodea ◽  
Ana-Maria Negovan
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Smart City ◽  
Smart Cities ◽  
Open Data ◽  
Quality Of Data ◽  
Data Movement ◽  
Depth Analysis ◽  
Machine Learning Applications

Machine learning (ML) has already gained the attention of the researchers involved in smart city (SC) initiatives, along with other advanced technologies such as IoT, big data, cloud computing, or analytics. In this context, researchers also realized that data can help in making the SC happen but also, the open data movement has encouraged more research works using machine learning. Based on this line of reasoning, the aim of this paper is to conduct a systematic literature review to investigate open data-based machine learning applications in the six different areas of smart cities. The results of this research reveal that: (a) machine learning applications using open data came out in all the SC areas and specific ML techniques are discovered for each area, with deep learning and supervised learning being the first choices. (b) Open data platforms represent the most frequently used source of data. (c) The challenges associated with open data utilization vary from quality of data, to frequency of data collection, to consistency of data, and data format. Overall, the data synopsis as well as the in-depth analysis may be a valuable support and inspiration for the future smart city projects.

Smart Parking in Smart Cities Using Secure IoT

2021 ◽  
pp. 1484-1507
Author(s):  
G. Indra Navaroj ◽  
E.Golden Julie
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Security And Privacy ◽  
Sensitive Data ◽  
Parking System ◽  
User Data ◽  
Information And Communication ◽  
Smart Parking ◽  
The City ◽  
Privacy Issues

The city is transforming into the smart city using information and communication technology (ICT), and the major role in economic development is building an infrastructure to enable greater connectivity between citizen service, energy, economics, and government. A smart city can monitor the real-world scenario in real time and support the intelligent services to both locals and travelers. Due to urbanization, people move from village to city. Increase the population in city also causes an increase in vehicles. Here, parking the vehicle securely is a challenging problem. In a smart parking system, all the devices are connected to the internet. Hackers and third parties easily access the user data or sensitive data. Smart parking system application controls the traffic, air pollution, and city functions making it easy to park the vehicle and reduce accidents. Many of the problems arise in the security and privacy of the sensitive data. In this chapter, the authors discuss security and privacy issues in smart parking systems using IoT.

AI-empowered IoT Security for Smart Cities

2021 ◽  
Vol 21 (4) ◽  
pp. 1-21
Author(s):  
Zhihan Lv ◽  
Liang Qiao ◽  
Amit Kumar Singh ◽  
Qingjun Wang
Keyword(s):  
Smart City ◽  
Information Exchange ◽  
Smart Cities ◽  
Signal Transmission ◽  
Security Threats ◽  
Security Issues ◽  
Backoff Algorithm ◽  
Wireless Communication Protocol ◽  
User Data ◽  
New Generation

Smart cities fully utilize the new generation of Internet of Things (IoT) technology in the process of urban informatization to optimize the urban management and service. However, in the IoT system, while information exchange and communication, wireless sensor network devices may not be able to resist all forms of attacks, which may lead to security issues such as user data disclosure. Aiming at the information security risks in smart city, the typical technologies in IoT is analyzed from the perspective of IoT perception layer and provides corresponding security solutions for the existing security threats. Regarding the communication security, the emerging wireless technology, long range (LoRa), is discussed, and the performance of wireless communication protocol is analyzed through simulation experiments, to verify that the IoT technology based on LoRa communication technology can improve the security of the system in the construction of smart city. The results show that REBEB, a new backoff algorithm, is similar to the binary exponential backoff algorithm in terms of throughput performance. REBEB focuses more on fairness, which is up to 0.985, and to a certain extent, its security is significantly improved. The fairness of REBEB algorithm is more than 0.4 in different nodes and competing windows, and the fairness of the system is better when the number of nodes is small. To sum up, the IoT system based on LoRa communication can effectively improve the security performance of the system in the construction of smart city and avoid the security threats in the IoT signal transmission.

scholarly journals Smart Cities, Big Data, Artificial Intelligence and Respect for the European Union Data Protection Rules

2020 ◽  
Vol 3 (2) ◽  
pp. 101
Author(s):  
Francisco Javier Durán Ruiz
Keyword(s):  
Artificial Intelligence ◽  
European Union ◽  
Big Data ◽  
Data Protection ◽  
Smart City ◽  
Smart Cities ◽  
Open Data ◽  
Personal Data ◽  
Point Of View ◽  
The European Union

The importance of cities and their populations grow more and more, as well as the need to apply ICT in their management to reduce their environmental impact and improve the services they offer to their citizens. Hence the concept of smart city arises, a transformation of urban spaces that the European Union is strongly promoting which is largely based on the use of data and its treatment using Big data and Artificial Intelligence techniques based in algorithms. For the development of smart cities it is basic, from a legal point of view, EU rules about open data and the reuse of data and the reconciliation of the massive processing of citizens' data with the right to privacy, non-discrimination and protection of personal data. The use of Big data and AI needed for the development of smart city projects requires a particular respect to data protection regulations. In this sense, the research explores in depth the specific hazards of vulnerating this fundamental right in the framework of smart cities due to the use of Big Data and AI.

Smart Parking in Smart Cities Using Secure IoT

2019 ◽  
pp. 165-188
Author(s):  
G. Indra Navaroj ◽  
E.Golden Julie
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Security And Privacy ◽  
Sensitive Data ◽  
Parking System ◽  
User Data ◽  
Information And Communication ◽  
Smart Parking ◽  
The City ◽  
Privacy Issues

The city is transforming into the smart city using information and communication technology (ICT), and the major role in economic development is building an infrastructure to enable greater connectivity between citizen service, energy, economics, and government. A smart city can monitor the real-world scenario in real time and support the intelligent services to both locals and travelers. Due to urbanization, people move from village to city. Increase the population in city also causes an increase in vehicles. Here, parking the vehicle securely is a challenging problem. In a smart parking system, all the devices are connected to the internet. Hackers and third parties easily access the user data or sensitive data. Smart parking system application controls the traffic, air pollution, and city functions making it easy to park the vehicle and reduce accidents. Many of the problems arise in the security and privacy of the sensitive data. In this chapter, the authors discuss security and privacy issues in smart parking systems using IoT.

scholarly journals Towards an Integrated Framework to Measure Smart City Readiness: The Case of Iranian Cities

Smart Cities ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 676-704 ◽  
Author(s):  
Negar Noori ◽  
Martin de Jong ◽  
Thomas Hoppe
Keyword(s):  
Smart City ◽  
Urban Governance ◽  
Smart Cities ◽  
Open Data ◽  
Theoretical Framework ◽  
Indicator System ◽  
Theory Of Change ◽  
The Political ◽  
Governance Model ◽  
Practical Guidelines

This paper introduces an indicator system to measure and assess smart city readiness. Analyzing smart city initiatives in Iran as case studies, the theoretical framework we present reflects on how cities explore the possibility of becoming smart, and prepare themselves to begin implementing the transition towards becoming a smart city. This theoretical framework is then applied to four Iranian cities aspiring to become smart and that already possess credible smart city brands. The findings reveal that the most significant difficulty in Iran is associated with the political context. The changing urban governance model is the most important factor in Iranian smart cities’ readiness. Utilization of open data policies and data sharing, as well as making reforms in government structures are all considered a sine qua non to gain momentum. Based on the results of our empirical analysis a Theory of Change is developed to address the cities’ technological, socio-economic, and political readiness vis-à-vis the desired transition. The framework for measuring smart city readiness and the Theory of Change provide practical guidelines to developing systematic roadmaps for developing and implementing smart city policies.

scholarly journals Co-owned resources: IP and data in smart cities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Angeliki Maria Toli ◽  
Niamh Murtagh ◽  
Hedley Smyth
Keyword(s):  
Intellectual Property ◽  
Smart City ◽  
Business Models ◽  
Smart Cities ◽  
Open Data ◽  
Structured Interviews ◽  
Content Type ◽  
New Business ◽  
Value Propositions ◽  
Operant Resources

PurposeSmart city projects typically operate in consortia of actors that lead to the co-creation of jointly owned intellectual property (IP) and data. While IP and data are significant for economic development, there are very limited studies on their co-ownership regimes especially on co-ownership of open data and open intellectual property. This study address this gap.Design/methodology/approachThis study is qualitative. In total, 62 in-depth semi-structured interviews were carried out, with predominantly senior members of organisations actively involved in smart city projects. Thematic analysis was used to analyse the data.FindingsThere are three models of co-ownership of IP and data: contractual joint ownership, undetermined or not-yet-determined ownership and open ownership. Each ownership model impacts differently the value-in-use. The relationships between actors in the consortia affect the way in which they co-create IP and data.Originality/valueThis study demonstrates how projects that operate in new models of innovation-led consortia produce new types of resources that are not simply co-created but co-owned. Co-owned resources have different value-in-use for each one of the different actors, independently of the fact that they jointly own them. This is influenced by the type of ownership model and predisposition of the actors to initially share resources and be flexible. Co-owned resources may generate future value propositions, act as interconnected operant resources and lead to the creation of new business models.

scholarly journals Using X-Road to Implement Open Data in Electrical Systems and Promote the Integration with Smart City and Open Governance Strategies

TecnoLógicas ◽  
2021 ◽  
Vol 24 (52) ◽  
pp. e1950
Author(s):  
Santiago Gil ◽  
Germán D. Zapata-Madrigal ◽  
Rodolfo García-Sierra
Keyword(s):  
Smart City ◽  
Smart Grids ◽  
Data Exchange ◽  
Smart Cities ◽  
Open Data ◽  
Customer Engagement ◽  
Easy Access ◽  
Electrical Systems ◽  
Electrical Industry ◽  
Governance Strategies

The electrical industry is undergoing a deep digital transformation towards the consolidation of smart grids, which requires a high demand of data and information systems involved in the processes. Open data initiatives, which have been focused on open governance to a great extent, generate positive impacts on society and the economy in terms of easy access to public resources, agility, and transparency. These initiatives can also be adopted in the electrical industry (i.e., power, electrical, and energy systems) for customer engagement, collaboration with other industries, and reaching consensus. This study proposes the implementation of an open data solution for the electrical industry through the deployment of a data hub that offers digital services for smart city applications and the integration of the X-Road system to improve the security and interoperability of open data. This initiative aims to promote a wider adoption of open data in the electrical industry and prepare the latter for fully connected and collaborative digital ecosystems in smart cities, industries, and governments. This study also proposes an open data architecture for the interoperability of the electrical industry with other digital industries (through a Smart City Hub and the adoption of 5G technology), and it reports some relevant results and major findings in this regard. This paper highlights the benefits of promoting open data and technological strategies for digitized electrical systems while considering humans an essential factor. Finally, it discusses the pros and cons of the integration of X-Road with the electrical industry under the concept of smart grids for data exchange and potential applications.

scholarly journals Big Data in Smart City: Management Challenges

2021 ◽  
Vol 11 (10) ◽  
pp. 4557
Author(s):  
Mladen Amović ◽  
Miro Govedarica ◽  
Aleksandra Radulović ◽  
Ivana Janković
Keyword(s):  
Big Data ◽  
Smart City ◽  
Urban Areas ◽  
Management System ◽  
Smart Cities ◽  
Open Data ◽  
Apache Spark ◽  
City Management ◽  
Real Time System ◽  
Data Framework

Smart cities use digital technologies such as cloud computing, Internet of Things, or open data in order to overcome limitations of traditional representation and exchange of geospatial data. This concept ensures a significant increase in the use of data to establish new services that contribute to better sustainable development and monitoring of all phenomena that occur in urban areas. The use of the modern geoinformation technologies, such as sensors for collecting different geospatial and related data, requires adequate storage options for further data analysis. In this paper, we suggest the biG dAta sMart cIty maNagEment SyStem (GAMINESS) that is based on the Apache Spark big data framework. The model of the GAMINESS management system is based on the principles of the big data modeling, which differs greatly from standard databases. This approach provides the ability to store and manage huge amounts of structured, semi-structured, and unstructured data in real time. System performance is increasing to a higher level by using the process parallelization explained through the five V principles of the big data paradigm. The existing solutions based on the five V principles are focused only on the data visualization, not the data themselves. Such solutions are often limited by different storage mechanisms and by the ability to perform complex analyses on large amounts of data with expected performance. The GAMINESS management system overcomes these disadvantages by conversion of smart city data to a big data structure without limitations related to data formats or use standards. The suggested model contains two components: a geospatial component and a sensor component that are based on the CityGML and the SensorThings standards. The developed model has the ability to exchange data regardless of the used standard or the data format into proposed Apache Spark data framework schema. The verification of the proposed model is done within the case study for the part of the city of Novi Sad.

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