scholarly journals Privacy Protection in Smart Cities by a Personal Data Management Protocol in Blockchain

2020 ◽  
Vol 12 (3) ◽  
pp. 44-52
Author(s):  
Hossein Mohammadinejad ◽  
◽  
Fateme Mohammadhoseini
Keyword(s):  
Data Management ◽  
Privacy Protection ◽  
Smart Cities ◽  
Personal Data ◽  
Management Protocol

scholarly journals Privacy of Clinical Research Subjects: An Integrative Literature Review

2018 ◽  
Vol 14 (1) ◽  
pp. 33-48 ◽  
Author(s):  
Sanna-Maria Nurmi ◽  
Mari Kangasniemi ◽  
Arja Halkoaho ◽  
Anna-Maija Pietilä
Keyword(s):  
Clinical Research ◽  
Privacy Protection ◽  
Personal Data ◽  
Comparison Method ◽  
Health Data ◽  
The Body ◽  
Social Benefits ◽  
Theoretical Studies ◽  
Research Practice ◽  
Research Subjects

With changes in clinical research practice, the importance of a study-subject’s privacy and the confidentiality of their personal data is growing. However, the body of research is fragmented, and a synthesis of work in this area is lacking. Accordingly, an integrative review was performed, guided by Whittemore and Knafl’s work. Data from PubMed, Scopus, and CINAHL searches from January 2012 to February 2017 were analyzed via the constant comparison method. From 16 empirical and theoretical studies, six topical aspects were identified: the evolving nature of health data in clinical research, sharing of health data, the challenges of anonymizing data, collaboration among stakeholders, the complexity of regulation, and ethics-related tension between social benefits and privacy. Study subjects’ privacy is an increasingly important ethics principle for clinical research, and privacy protection is rendered even more challenging by changing research practice.

scholarly journals Stakeholders’ Viewpoints toward Blockchain Integration within IoT-Based Smart Cities

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Nada Alasbali ◽  
Saaidal Razalli Bin Azzuhri ◽  
Rosli Salleh
Keyword(s):  
Data Management ◽  
Smart City ◽  
Urban Landscape ◽  
Smart Cities ◽  
Pearson Correlation ◽  
Future Evolution ◽  
Mixed Method Design ◽  
Cross Tabulation ◽  
The Relationship ◽  
Structured Questionnaire

This study intends to assess the development of IoT-based smart cities industry and the possibilities of blockchain integration from the perspective of industry stakeholders as the vision for a modern, integrated smart city future is predicated upon intelligence and the relationship between data-rich connections and human activities. Although this ideal of an interconnected urban landscape is currently being tested and actively used by consumers spanning a range of connected nodes and service solutions, the scalability, interoperability, and security of this emergent cyber-physical ideal has yet to be adequately resolved. This study used an exploratory study design following a mixed method design approach. A structured questionnaire survey (quantitative) and interviews (qualitative) were conducted for collecting data. IBM SPSS was used for the analysis of the data, which computed descriptive statistics, cross-tabulation, Pearson correlation, and ANOVA for quantitative data and thematic analysis for qualitative data. Through an empirical assessment of the perceptions and expertise of 122 stakeholders from within the worldwide IoT smart city industry, conceptual support for blockchain integration into the IoT solution was acquired, highlighting the solution-oriented, system-centered advantages of a decentralised, autonomous data management backbone that could be applied to future IoT-based smart city solutions. To meet the broad and diversified needs of the smart city and its future evolution, this study has confirmed that a commitment to decentralisation and blockchain intermediary data management is critical to scalable, secure, and autonomous negotiations of the IoT-enabled smart city networks.

scholarly journals Public perceptions of good data management: Findings from a UK-based survey

2020 ◽  
Vol 7 (1) ◽  
pp. 205395172093561
Author(s):  
Todd Hartman ◽  
Helen Kennedy ◽  
Robin Steedman ◽  
Rhianne Jones
Keyword(s):  
Data Management ◽  
Personal Data ◽  
Current Approach ◽  
Data Driven ◽  
Policy Action ◽  
Driven Systems ◽  
General Data Protection Regulation ◽  
Good Data ◽  
Opt Out ◽  
The Eu

Low levels of public trust in data practices have led to growing calls for changes to data-driven systems, and in the EU, the General Data Protection Regulation provides a legal motivation for such changes. Data management is a vital component of data-driven systems, but what constitutes ‘good’ data management is not straightforward. Academic attention is turning to the question of what ‘good data’ might look like more generally, but public views are absent from these debates. This paper addresses this gap, reporting on a survey of the public on their views of data management approaches, undertaken by the authors and administered in the UK, where departure from the EU makes future data legislation uncertain. The survey found that respondents dislike the current approach in which commercial organizations control their personal data and prefer approaches that give them control over their data, that include oversight from regulatory bodies or that enable them to opt out of data gathering. Variations of data trusts – that is, structures that provide independent stewardship of data – were also preferable to the current approach, but not as widely preferred as control, oversight and opt out options. These features therefore constitute ‘good data management’ for survey respondents. These findings align only in part with principles of good data identified by policy experts and researchers. Our findings nuance understandings of good data as a concept and of good data management as a practice and point to where further research and policy action are needed.

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