Orlan Lee, Waiving Our Rights: The Personal Data Collection Complex and Its Threat to Privacy and Civil Liberties, Lexington Book, 2012, ISBN 978-0-7391-6799-1

2013 ◽  
Vol 3 (4) ◽  
pp. 287-289
Author(s):  
D. Lindsay
Keyword(s):  
Data Collection ◽  
Civil Liberties ◽  
Personal Data ◽  
Lexington Book

scholarly journals Towards Self-Awareness Privacy Protection for Internet of Things Data Collection

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Kok-Seng Wong ◽  
Myung Ho Kim
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Personal Data ◽  
Self Awareness ◽  
Privacy Concern ◽  
Goods And Services ◽  
Data Collector ◽  
Inaccurate Data ◽  
Secure Protocol ◽  
The Internet Of Things

The Internet of Things (IoT) is now an emerging global Internet-based information architecture used to facilitate the exchange of goods and services. IoT-related applications are aiming to bring technology to people anytime and anywhere, with any device. However, the use of IoT raises a privacy concern because data will be collected automatically from the network devices and objects which are embedded with IoT technologies. In the current applications, data collector is a dominant player who enforces the secure protocol that cannot be verified by the data owners. In view of this, some of the respondents might refuse to contribute their personal data or submit inaccurate data. In this paper, we study a self-awareness data collection protocol to raise the confidence of the respondents when submitting their personal data to the data collector. Our self-awareness protocol requires each respondent to help others in preserving his privacy. The communication (respondents and data collector) and collaboration (among respondents) in our solution will be performed automatically.

scholarly journals Ethical issues in computational pathology

2021 ◽  
pp. medethics-2020-107024
Author(s):  
Tom Sorell ◽  
Nasir Rajpoot ◽  
Clare Verrill
Keyword(s):  
Artificial Intelligence ◽  
Data Collection ◽  
Ethical Issues ◽  
Recent Literature ◽  
Personal Data ◽  
Ethical Problems ◽  
Data Ethics ◽  
Slide Image ◽  
Data Protection Law ◽  
Computational Pathology

This paper explores ethical issues raised by whole slide image-based computational pathology. After briefly giving examples drawn from some recent literature of advances in this field, we consider some ethical problems it might be thought to pose. These arise from (1) the tension between artificial intelligence (AI) research—with its hunger for more and more data—and the default preference in data ethics and data protection law for the minimisation of personal data collection and processing; (2) the fact that computational pathology lends itself to kinds of data fusion that go against data ethics norms and some norms of biobanking; (3) the fact that AI methods are esoteric and produce results that are sometimes unexplainable (the so-called ‘black box’problem) and (4) the fact that computational pathology is particularly dependent on scanning technology manufacturers with interests of their own in profit-making from data collection. We shall suggest that most of these issues are resolvable.

scholarly journals Is the European Data Protection Regulation sufficient to deal with emerging data concerns relating to neurotechnology?

2020 ◽  
Author(s):  
Stephen Rainey ◽  
Kevin McGillivray ◽  
Simi Akintoye ◽  
Tyr Fothergill ◽  
Christoph Bublitz ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Protection ◽  
Technology Development ◽  
Brain Activity ◽  
Personal Data ◽  
Medical Treatments ◽  
European Data ◽  
Consumer Markets ◽  
Highly Sensitive ◽  
Brain Data

Abstract Research-driven technology development in the fields of the neurosciences presents interesting and potentially complicated issues around data in general and brain data specifically. The data produced from brain recordings are unlike names and addresses in that it may result from the processing of largely involuntarily brain activity, it can be processed and reprocessed for different aims, and it is highly sensitive. Consenting for brain recordings of a specific type, or for a specific purpose, is complicated by these factors. Brain data collection, retention, processing, storage, and destruction are each of high ethical importance. This leads us to ask: Is the present European Data Protection Regulation sufficient to deal with emerging data concerns relating to neurotechnology? This is pressing especially in a context of rapid advancement in the fields of brain computer interfaces (BCIs), where devices that can function via recorded brain signals are expanding from research labs, through medical treatments, and beyond into consumer markets for recreational uses. One notion we develop herein is that there may be no trivial data collection when it comes to brain recording, especially where algorithmic processing is involved. This article provides analysis and discussion of some specific data protection questions related to neurotechnology, especially BCIs. In particular, whether and how brain data used in BCI-driven applications might count as personal data in a way relevant to data protection regulations. It also investigates how the nature of BCI data, as it appears in various applications, may require different interpretations of data protection concepts. Importantly, we consider brain recordings to raise questions about data sensitivity, regardless of the purpose for which they were recorded. This has data protection implications.

scholarly journals Children’s and Parents’ Perceptions of Online Commercial Data Practices: A Qualitative Study

2020 ◽  
Vol 8 (4) ◽  
pp. 163-174
Author(s):  
Laurien Desimpelaere ◽  
Liselot Hudders ◽  
Dieneke Van de Sompel
Keyword(s):  
Data Collection ◽  
Qualitative Study ◽  
Personal Data ◽  
General Knowledge ◽  
Parental Consent ◽  
Online Data ◽  
Data Practices ◽  
Support Strategies ◽  
Implicit Data ◽  
Depth Interviews

Children’s personal data are often collected for commercial aims. Although regulations in different countries aim to protect children’s privacy (e.g., by imposing websites to request parental consent for the processing of children’s data for commercial purposes), concerns about protecting children’s online data continue to rise. This article therefore aims to get insights into parents’ and children’s privacy coping strategies and perceptions underlying these strategies. In-depth interviews with ten parents and nine children (8–11 years) were conducted. Findings show that although children engaged in avoidance (e.g., leaving the particular website) and confrontation (e.g., seeking support) strategies, they mainly did this to protect their privacy from malicious individuals—and not from commercial parties. Participating children also lacked general knowledge about both explicit and implicit data practices. To protect their children’s privacy, parents in this study mainly adopted restrictive mediation strategies, but lacked the knowledge to undertake concrete actions in the case of implicit data collection. Implications for policymakers are discussed.

scholarly journals Legal Liability of Doctors on the Disclosure Medical Secrecy for Covid-19 Patients in the Pandemic Era

2021 ◽  
Vol 8 (1) ◽  
pp. 8-20
Author(s):  
Jaufan Fata Almadani ◽  
Andika Persada Putera ◽  
Yulianto
Keyword(s):  
Data Collection ◽  
Personal Data ◽  
Legal Liability ◽  
Conceptual Approach ◽  
The World ◽  
Pros And Cons ◽  
Research Show

The Covid-19 outbreak is a disease that attack countries around the world, no exception in Indonesia. The discourse of revealing the secrecy of positive Covid-19 patient medicine raises pros and cons in society. This study aims to analyze the concept of medical secrecy according to statutory regulations and legal liability of doctors in revealing medical secrecy in the pandemic era. This study uses a normative juridical method with a statutory approach, and a conceptual approach. The source of data collection consists of primary, secondary, and tertiary legal material. The results of the research show that medical secrecy is confidential individual right. The identity of Covid-19 patients can be accessed in a limited manner by authorized institutions and used proportionally and appropriately for the benefit of handling the Covid-19 outbreak. In order to anticipate an increase in Covid-19 transmission, the practice of using patient personal data is implemented by several countries according to principles proporsionalitas, necesssitas and purposive limitation.

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