As with many other countries, Malaysia is also developing and promoting biomedical research to increase the understanding of human diseases and possible interventions. To facilitate this development, there is a significant growth of biobanks in the country to ensure continuous collection of biological samples for future research, which contain extremely important personal information and health data of the participants involved. Given the vast amount of samples and data accumulated by biobanks, they can be considered as reservoirs of precious biomedical big data. It is therefore imperative for biobanks to have in place regulatory measures to ensure ethical use of the biomedical big data. Malaysia has yet to introduce specific legislation for the field of biobanking. However, it can be argued that its existing Personal Data Protection Act 2010 (PDPA) has laid down legal principles that can be enforced to protect biomedical big data generated by the biobanks. Consent is a mechanism to enable data subjects to exercise their autonomy by determining how their data can be used and ensure compliance with legal principles. However, there are two main concerns surrounding the current practice of consent in biomedical big data in Malaysia. First, it is uncertain that the current practice would be able to respect the underlying notion of autonomy, and second, it is not in accordance with the legal principles of the PDPA. Scholars have deliberated on different strategies of informed consent, and a more interactive approach has recently been introduced: dynamic consent. It is argued that a dynamic consent approach would be able to address these concerns.
Matched MeSH terms: Personally Identifiable Information
This study aimed to determine contact and privacy risks encountered by Malaysian adolescents with access to the Internet and mobile phones and factors associated with face-to-face meetings with online acquaintances as well as to estimate the prevalence of subsequent victimization. Secondary school students from randomly selected public schools in Selangor and Kuala Lumpur responded to an anonymous self-administered questionnaire (78% response rate). Out of 3,349 Internet or mobile phone users, 51% had been invited to meet offline with an online-meeting acquaintance and 30% complied. Of the 1,005 respondents who went to offline meetings, 55% had meetings with more than six people. Male gender, Malay ethnicity, online access at an Internet café, viewing pornography on the Internet, the absence of parental restrictions on visiting certain website and chat rooms, not being explicitly forbidden to meet strangers encountered online, and disclosure of personal information were significantly associated with increased odds of face-to-face meetings with online acquaintances. Verbal, physical, or sexual assaults were reported by 5.5% of the 1,005 including 13 males and five females who reported forced sexual intercourse. Similarities as well as differences in factors associated with risk-taking behavior compared with adolescents in Western countries have important implications on policy and intervention.
Matched MeSH terms: Personally Identifiable Information
With the increase of consumers’ privacy concerns and the government-enforced regulations on data protection, it is necessary for organizations to implement Privacy Enhancing Technologies (PETs) to protect consumers’ personal data. PETs refer to any protection in the form of technology. Since employees are the main stakeholders who are directly involved in the PETs implementation and execution process, it is important to understand employees’ perceptions especially those daily tasks involving the process of collecting and processing consumers’ data. Prior literature showed limited research on the effects of PETs implementation through employees’ work process and their perception on the implementation in protection personal data. Hence, the purpose of this research is to explore how PETs adoption affects employees’ work process and their perception. A qualitative single case study was adopted in a telecommunications company in Malaysia. Data were collected through in-depth interviews from nine respondents who were involved in data collecting, data processing and data controlling in their daily tasks. The results showed that employees experience difference levels of change depending on their work nature. The affected areas of change in implementing PETs are workload, communication level and data access. Employees also raised their concerns on vendors’ accountability. This research provides an insight into employees’ perception towards personal data protection based on their experience in implementing PETs. Continuous awareness, updates, monitoring and evaluating of system are perceived as the key to successful PETs implementation in protecting personal data.
Matched MeSH terms: Personally Identifiable Information