Thinking with GDPR: A guide to better system design

Europe’s General Data Protection Regulation (GDPR) has a fearsome reputation as “the law that can fine you €20 million.” But behind that scary slogan lies a text that can be a very helpful guide to designing data processing systems. This paper explores that side of the GDPR: how understanding it can produce more effective - and more trustworthy - systems. Three popular myths often take designers down the wrong track: that GDPR is about stopping processing, is about users, and is about consent. Instead we consider, from a design perspective, the GDPR’s source material, its Principles, and its Lawful Bases for processing. Three examples - from the field of education, but widely applicable - show how “thinking with GDPR” has improved both the effectiveness and safety of large-scale data processing systems.

Proceedings of the 1st ACM Summit on Computing Education in China on First ACM Summit on Computing Education in China - SCE '08 ◽

Teaching large scale data processing

10.1145/1517632.1517635 ◽

2008 ◽

Author(s):

Kang Chen ◽

Yubing Yin ◽

Weimin Zheng

Keyword(s):

Data Processing ◽

Large Scale ◽

Large Scale Data ◽

Advanced monitoring techniques for a large‐scale data‐processing network

Campus-Wide Information Systems ◽

10.1108/10650740810921448 ◽

2008 ◽

Vol 25 (5) ◽

pp. 287-300 ◽

Cited By ~ 1

Author(s):

B. Martin ◽

A. Al‐Shabibi ◽

S.M. Batraneanu ◽

Ciobotaru ◽

G.L. Darlea ◽

...

Keyword(s):

Data Processing ◽

Large Scale ◽

Monitoring Techniques ◽

Large Scale Data ◽

Processing Network ◽

2014 14th International Conference on Advances in ICT for Emerging Regions (ICTer) ◽

Large scale data processing in real world: From analytics to predictions

10.1109/icter.2014.7083870 ◽

2014 ◽

Author(s):

Srinath Perera

Keyword(s):

Data Processing ◽

Real World ◽

Large Scale ◽

Large Scale Data ◽

BestPeer++: A Peer-to-Peer Based Large-Scale Data Processing Platform

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2012.236 ◽

2014 ◽

Vol 26 (6) ◽

pp. 1316-1331 ◽

Cited By ~ 6

Author(s):

Gang Chen ◽

Tianlei Hu ◽

Dawei Jiang ◽

Peng Lu ◽

Kian-Lee Tan ◽

...

Keyword(s):

Data Processing ◽

Large Scale ◽

Peer To Peer ◽

Large Scale Data ◽

Processing Platform ◽

Medimate : Ailment Diffusion Control System with Real Time Large Scale Data Processing

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.31.18233 ◽

2018 ◽

Vol 7 (2.31) ◽

pp. 240

Author(s):

S Sujeetha ◽

Veneesa Ja ◽

K Vinitha ◽

R Suvedha

Keyword(s):

Control System ◽

Data Processing ◽

Real Time ◽

Large Scale ◽

Diffusion Control ◽

Qr Code ◽

Healthcare Applications ◽

Large Scale Data ◽

In the existing scenario, a patient has to go to the hospital to take necessary tests, consult a doctor and buy prescribed medicines or use specified healthcare applications. Hence time is wasted at hospitals and in medical shops. In the case of healthcare applications, face to face interaction with the doctor is not available. The downside of the existing scenario can be improved by the Medimate: Ailment diffusion control system with real time large scale data processing. The purpose of medimate is to establish a Tele Conference Medical System that can be used in remote areas. The medimate is configured for better diagnosis and medical treatment for the rural people. The system is installed with Heart Beat Sensor, Temperature Sensor, Ultrasonic Sensor and Load Cell to monitor the patient’s health parameters. The voice instructions are updated for easier access. The application for enabling video and voice communication with the doctor through Camera and Headphone is installed at both the ends. The doctor examines the patient and prescribes themedicines. The medical dispenser delivers medicine to the patient as per the prescription. The QR code will be generated for each prescription by medimate and that QR code can be used forthe repeated medical conditions in the future. Medical details are updated in the server periodically.