Privacy Preserving, Protection of Personal Data, and Big Data: a Review of the Colombia Case

Silva, Jesus; Solano, Darwin; Fernández, Claudia Nélida; Romero, Ligia; Villa, Jesús Vargas

doi:10.1016/j.procs.2019.04.174

Cited by 12 publications

(3 citation statements)

References 17 publications

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“…The MPS was conducted under the Bloomberg Data for Health Initiative,28 which aims to develop and optimise MPS to collect data on NCD risk factors in Colombia and elsewhere. Due to regulations related to access to personal data of individuals in Columbia,29 there is no sampling frame available that lists working (activated) mobile phone numbers. We used the random digit dialling technique to generate potential mobile phone numbers 30.…”

Section: Methodsmentioning

confidence: 99%

Examination of the demographic representativeness of a cross-sectional mobile phone survey in collecting health data in Colombia using random digit dialling

Guzman-Tordecilla,

Vecino-Ortiz,

Torres-Quintero

et al. 2023

BMJ Open

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ObjectivesAs mobile phone ownership becomes more widespread in low-income and middle-income countries, mobile phone surveys (MPSs) present an opportunity to collect data on health more cost-effectively. However, selectivity and coverage biases in MPS are concerns, and there is limited information about the population-level representativeness of these surveys compared with household surveys. This study aims at comparing the sociodemographic characteristics of the respondents of an MPS on non-communicable disease risk factors to a household survey in Colombia.DesignCross-sectional study. We used a random digit dialling method to select the samples for calling mobile phone numbers. The survey was conducted using two modalities: computer-assisted telephone interviews (CATIs) and interactive voice response (IVR). The participants were assigned randomly to one of the survey modalities based on a targeted sampling quota stratified by age and sex. The Quality-of-Life Survey (ECV), a nationally representative survey conducted in the same year of the MPS, was used as a reference to compare the sample distributions by sociodemographic characteristics of the MPS data. Univariate and bivariate analyses were performed to evaluate the population representativeness between the ECV and the MPSs.SettingThe study was conducted in Colombia in 2021.ParticipantsPopulation at least 18 years old with a mobile phone.ResultsWe completed 1926 and 2983 interviews for CATI and IVR, respectively. We found that the MPS data have a similar (within 10% points) age–sex data distribution compared with the ECV dataset for some subpopulations, mainly for young populations, people with none/primary and secondary education levels, and people who live in urban and rural areas.ConclusionsThis study shows that MPS could collect similar data to household surveys in terms of age, sex, high school education level and geographical area for some population categories. Strategies are needed to improve representativeness of the under-represented groups.

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Section: Methodsmentioning

confidence: 99%

Examination of the demographic representativeness of a cross-sectional mobile phone survey in collecting health data in Colombia using random digit dialling

Guzman-Tordecilla,

Vecino-Ortiz,

Torres-Quintero

et al. 2023

BMJ Open

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“…The digital economy is a data economy. Big data promises big socially acceptable and desirable benefits in state financial activity (Silva, 2019). Digital information has overtaken oil as the most valuable commodity in the world.…”

Section: Resultsmentioning

confidence: 99%

Legal features of the use of big data in the tax activities of the state

et al. 2021

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Objective: The article is devoted to determining the legal nature of Big Data technology. Some aspects of the problematic in the field of using Big Data technology in public tax activities are investigated. The theoretical and legal approaches to the regulation of Big Data technology in domestic and international law are analyzed. Methods: The authors used a combination of methods: theoretical, general scientific methods and empirical methods. Results: The development of the conceptual and terminological apparatus and the harmonization of domestic and international legislation is indicated as one of the possible directions for the formation of legislation. Conclusion and recommendations: Active implementation of the activities of tax authorities in the digital economy requires the adoption of adequate legal decisions. The thesis that legislation must be formed considering the legal and commercial nature of Big Data technology is considered. The use of Big Data technology must be accompanied by legal and ethical standards.

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“…The research indicates that in order to handle such a complex network, an artificial intelligence-based security approach ought to ensure the confidentiality, integrity, including legitimacy of the hardware, the software, and the network's governing protocols, irrespective of the system's generation [21]. We've looked closely at the open challenges that mobile networks continue to confront, such as fraud links, unauthorized network scanning, and more [22]. There is a discussion of several cyber security concerns and how to construct a secure environment using ML and DL approaches.…”

Section: Discussionmentioning

confidence: 99%

Research on the Protection of machine-generated data under the background of data element marketization

Jie

2024

TSSJ

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Introduction: The study emphasizes non-personal data protection and proposes a way tailored to China's particular requirements for machine-generated data legal protection. Integrating foreign experiences into legislation is the goal. Aim and objectives: This study examines machine-generated data legal protections throughout data marketization to understand and improve its protection in changing digital environments. Method: This study compared China's growing data protection rules to Europe's GDPR and the US's CCPA. The study uses the Penta Helix framework to evaluate non-personal data in Shenzhen, Southern China, using document reviews, field observations, interviews, and surveys. Data quality, commercial sector compliance, public sector effect, academic contributions, civil society involvement, innovation, and ethics are evaluated. Result: This study compares Chinese and American non-personal data governance. The Cybersecurity and Data Security Law in China and the California Consumer Privacy Act in the US are highlighted. Clear frameworks and international coordination are needed to define and protect non-personal data. The private sector needs, public sector governance, academia's concerns, and civil society's participation. Both countries must balance data-driven innovation with privacy, security, and ethics. Conclusion: Safeguarding China's non-personal data rights, particularly machine-generated data, is imperative, requiring global perspectives, rigorous legal analysis, and collaboration to navigate challenges.

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Privacy Preserving, Protection of Personal Data, and Big Data: a Review of the Colombia Case

Cited by 12 publications

References 17 publications

Examination of the demographic representativeness of a cross-sectional mobile phone survey in collecting health data in Colombia using random digit dialling

Examination of the demographic representativeness of a cross-sectional mobile phone survey in collecting health data in Colombia using random digit dialling

Legal features of the use of big data in the tax activities of the state

Research on the Protection of machine-generated data under the background of data element marketization

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