FEATURES OF BIG DATA PROTECTION

2018 ◽  
Vol 1 (26) ◽  
pp. 41-47
Author(s):  
N. MASLOVA ◽  
◽  
M. FEDORKO
Keyword(s):  
Big Data ◽  
Data Protection

Big Data Cognitive Storage: An Optimum Way of handling the Educational Data in Indian Scenario

2017 ◽  
Vol SED2017 (01) ◽  
pp. 5-7
Author(s):  
Ruchi Jain ◽  
Neelesh Kumar Jain
Keyword(s):  
Big Data ◽  
Online Learning ◽  
Online Education ◽  
Data Protection ◽  
Teaching And Learning ◽  
Relevant Information ◽  
Indian Society ◽  
Digital Learning ◽  
Modern Education ◽  
Indian Scenario

The concept of big data has been incorporated in majority of areas. The educational sector has plethora of data especially in online education which plays a vital in modern education. Moreover digital learning which comprises of data and analytics contributes significantly to enhance teaching and learning. The key challenge for handling such data can be a costly affair. IBM has introduced the technology "Cognitive Storage" which ensures that the most relevant information is always on hand. This technology governs the incoming data, stores the data in definite media, application of levels of data protection, policies for the lifecycle and retention of different classes of data. This technology can be very beneficial for online learning in Indian scenario. This technology will be very beneficial in Indian society so as to store more information for the upliftment of the students’ knowledge.

scholarly journals Record linkage of routine data with cohorts’ data of infants under European and Portuguese law

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Doetsch ◽  
I Lopes ◽  
R Redinha ◽  
H Barros
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Data Protection ◽  
Record Linkage ◽  
Data Science ◽  
Personal Data ◽  
Routine Data ◽  
Cohort Data ◽  
Education Data ◽  
Explicit Consent

Abstract The usage and exchange of “big data” is at the forefront of the data science agenda where Record Linkage plays a prominent role in biomedical research. In an era of ubiquitous data exchange and big data, Record Linkage is almost inevitable, but raises ethical and legal problems, namely personal data and privacy protection. Record Linkage refers to the general merging of data information to consolidate facts about an individual or an event that are not available in a separate record. This article provides an overview of ethical challenges and research opportunities in linking routine data on health and education with cohort data from very preterm (VPT) infants in Portugal. Portuguese, European and International law has been reviewed on data processing, protection and privacy. A three-stage analysis was carried out: i) interplay of threefold law-levelling for Record Linkage at different levels; ii) impact of data protection and privacy rights for data processing, iii) data linkage process' challenges and opportunities for research. A framework to discuss the process and its implications for data protection and privacy was created. The GDPR functions as utmost substantial legal basis for the protection of personal data in Record Linkage, and explicit written consent is considered the appropriate basis for the processing sensitive data. In Portugal, retrospective access to routine data is permitted if anonymised; for health data if it meets data processing requirements declared with an explicit consent; for education data if the data processing rules are complied. Routine health and education data can be linked to cohort data if rights of the data subject and requirements and duties of processors and controllers are respected. A strong ethical context through the application of the GDPR in all phases of research need to be established to achieve Record Linkage between cohort and routine collected records for health and education data of VPT infants in Portugal. Key messages GDPR is the most important legal framework for the protection of personal data, however, its uniform approach granting freedom to its Member states hampers Record Linkage processes among EU countries. The question remains whether the gap between data protection and privacy is adequately balanced at three legal levels to guarantee freedom for research and the improvement of health of data subjects.

Big Data, Anonymisation and Governance to Personal Data Protection

2020 ◽  
Author(s):  
Artur Potiguara Carvalho ◽  
Fernanda Potiguara Carvalho ◽  
Edna Dias Canedo ◽  
Pedro Henrique Potiguara Carvalho
Keyword(s):  
Big Data ◽  
Data Protection ◽  
Personal Data ◽  
Personal Data Protection

scholarly journals A Healthy Sense of Trust

2017 ◽  
Vol 2 (Suppl. 1) ◽  
pp. 1-10
Author(s):  
Denis Horgan
Keyword(s):  
European Union ◽  
Clinical Trials ◽  
Big Data ◽  
Data Protection ◽  
Fast Moving ◽  
Ethical Issues ◽  
Personalised Medicine ◽  
Drug Pricing ◽  
The Right ◽  
The Eu

In the fast-moving arena of modern healthcare with its cutting-edge science it is already, and will become more, vital that stakeholders collaborate openly and effectively. Transparency, especially on drug pricing, is of paramount importance. There is also a need to ensure that regulations and legislation covering, for example the new, smaller clinical trials required to make personalised medicine work effectively, and the huge practical and ethical issues surrounding Big Data and data protection, are common, understood and enforced across the EU. With more integration, collaboration, dialogue and increased trust among each and every one in the field, stakeholders can help mould the right frameworks, in the right place, at the right time. Once achieved, this will allow us all to work more quickly and more effectively towards creating a healthier - and thus wealthier - European Union.

scholarly journals Digital Economy, Big Data and Competition Law

2019 ◽  
Vol 3 (1) ◽  
pp. 53-89
Author(s):  
Roberto Augusto Castellanos Pfeiffer
Keyword(s):  
Big Data ◽  
Data Protection ◽  
Personal Data ◽  
Competition Law ◽  
Digital Economy ◽  
Data Driven ◽  
Dominant Position ◽  
Privacy Concerns ◽  
Sense Data ◽  
Abuse Of Dominant Position

Big data has a very important role in the digital economy, because firms have accurate tools to collect, store, analyse, treat, monetise and disseminate voluminous amounts of data. Companies have been improving their revenues with information about the behaviour, preferences, needs, expectations, desires and evaluations of their consumers. In this sense, data could be considered as a productive input. The article focuses on the current discussion regarding the possible use of competition law and policy to address privacy concerns related to big data companies. The most traditional and powerful tool to deal with privacy concerns is personal data protection law. Notwithstanding, the article examines whether competition law should play an important role in data-driven markets where privacy is a key factor. The article suggests a new approach to the following antitrust concepts in cases related to big data platforms: assessment of market power, merger notification thresholds, measurement of merger effects on consumer privacy, and investigation of abuse of dominant position. In this context, the article analyses decisions of competition agencies which reviewed mergers in big data-driven markets, such as Google/DoubleClick, Facebook/ WhatsApp and Microsoft/LinkedIn. It also reviews investigations of alleged abuse of dominant position associated with big data, in particular the proceeding opened by the Bundeskartellamt against Facebook, in which the German antitrust authority prohibited the data processing policy imposed by Facebook on its users. The article concludes that it is important to harmonise the enforcement of competition, consumer and data protection polices in order to choose the proper way to protect the users of dominant platforms, maximising the benefits of the data-driven economy.

A review on big data protection of Hadoop

2017 ◽  
Author(s):  
Upendra Singh ◽  
Narendra Kumar Solanki ◽  
Mohit Kumar Varma ◽  
Tarjani Sevak
Keyword(s):  
Big Data ◽  
Data Protection

eSurgery - Digital Transformation in Surgery, Surgical Edu-cation and Training: Survey Analysis of the Status Quo in Germany. (Preprint)

2021 ◽  
Author(s):  
Juliane Kröplin ◽  
Tobias Huber ◽  
Christian Geis ◽  
Benedikt Braun ◽  
Tobias Fritz
Keyword(s):  
Big Data ◽  
Patient Care ◽  
Data Protection ◽  
Surgical Education ◽  
Education And Training ◽  
Simulator Training ◽  
Special Focus ◽  
Teaching Content ◽  
E Learning ◽  
And Training

UNSTRUCTURED Objective In surgery electronic healthcare systems offer numerous options to improve patient care. Aim of this study was to analyse the current status of digitalisation and its influence in surgery, with a special focus on surgical education and training. Methods An individually created questionnaire was used to analyse the subjective assessment of the digitalisation processes in clinical surgery. The online questionnaire consisted of 16 questions regarding the importance and the corresponding implementation of the teaching contents: big data, health apps, messenger apps, telemedicine, data protection/IT security, ethics, simulator training, economics and e-learning were included. The participation link was sent to members of the German Society of Surgery via the e-mail distribution list. Results In total, 119 surgeons (response rate = 19.8 %) took part in the survey. 18.5 % of them were trainees (TR). 81.5 % had already completed specialist training (SP). 66.4 % confirm a positive influence of digitalisation on the quality of patient care. The presence of a surgical robot was confirmed by 47.9 % of the participants. 22.0 % (n=26) of the participants confirm the possibil-ity of using virtual simulators. According to 79.0 % of the participants, the integration of digital technologies in surgical education for basic and advanced stage surgeons should be aimed for. Data protection (1.7) and e-Learning (1.7) were rated as the most important teaching content. The greatest discrepancy between importance and implementation was seen in the teaching content of big data (mean: 2.2 to 3.8). Conclusion The results of the survey reveal the particular importance of digitalisation content for surgery, surgical education and training. At the same time, the results underline the desire for in-creased integration of digital competence teaching. The data also show an overall more pro-gressive and optimistic perception of TR. In order to meet the challenges of the digital trans-formation, the implementation of suitable curricula, including virtual simulation-based training and blended-learning teaching concepts should be emphasized.

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