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Data protection regulation is to a great extent purpose bound. Finality is the first pillar of the regulation.
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The document discusses key concepts regarding personal data protection including:
1) There are three main actors - data subjects, controllers who determine the purpose and means of processing personal data, and processors who process personal data on behalf of controllers.
2) Personal data refers to any information related to an identified or identifiable natural person. One person can have multiple data sets for different purposes or capacities.
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The document discusses personal data protection, including the risks and advantages of processing personal data. It notes that privacy compliance can provide market advantages for data processing service providers. Various sanctions and damages are also mentioned relating to directly or indirectly not complying with data protection regulations, including criminal sanctions, administrative sanctions, civil sanctions, fines, and prohibiting further data processing. The document also briefly discusses the impact to reputation if data protection is not followed.
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Very broad scope of personal data protection applies to any information relating to an identified or identifiable natural person. Personal data can be directly or indirectly identifiable and includes information such as identification numbers, physical characteristics, communication data, geographical data, personal relationships, interests, and more. The processing of personal data involves any automated or manual operations performed on personal data according to specific criteria that permits easy access to the data, such as collection, recording, organization, storage, retrieval, disclosure, and deletion.
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- RevPAR growth in Asia Pacific and China significantly outpaced growth in Europe and the US in 2010, with China seeing 37% year-over-year RevPAR growth.
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1) Recent data and evidence suggests that optimism for a near-term recovery in the locals market is premature, as the market highly depends on the local economy which faces challenges from high unemployment, a weak housing market, and lack of job and population growth.
2) Core industry metrics like daily slot volume and win per slot have plummeted since late 2008 as the recession hit the local gaming and overall economy hard.
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Gregg Carlson report sample Las Vegas Strip Ecosystem without pics
The Las Vegas Strip hotel market is facing significant changes with new hotel projects opening over the next few years, increasing supply by 11%. This will likely lead to shifts in the market shares held by different hotels. Top-tier hotels like Wynn may capture more business from mid-tier hotels, creating a "waterfall effect" down the chain. Lower-tier hotels risk negative returns and cash flows as their market share declines. The geography of development also matters - the north Strip faces stalled projects and weaker performance. The future remains unclear without stronger visitor growth to match the new supply.
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Event page: https://www.leadersinsecurity.org/events-old/icalrepeat.detail/2017/11/30/186/-/gdpr-plan-to-be-ready-prepare-to-set-change-to-go-session-3-privacy-impact-assessment-scenario-planning-data-loss-management.html?filter_reset=1
Privacy Design lab page: https://sites.google.com/site/pbd20171106
Example of a privacy design jam by Facebook (Berlin 2017) : https://www.facebook.com/facebookbrussels/videos/1419793831400471/
Training privacy by design
A first draft of a training on privacy by design both as an international concept (stemming from Canada) and as a GDPR related concept (article 25).
GDPR voor steden en gemeenten (Dutch)
Hoe breng je de nieuwigheden van de Algemene Gegevensbeschermingsverordening (AGV) of General Data Protection Regulation (GDPR) aan bij jouw stad of gemeente? Dit is een voorbeeld van slidedeck.
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Extra reference to the Vlerick reference (because published after the publication of this slide deck): http://www.vlerick.com/en/programmes/management-programmes/digital-transformation/digital-transformation-insights/insight-1)
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An example of how the staff training on information security, data protection and privacy (IS/DPP) could look.
This part is on an aspect that overarches all previous ones: monitoring. It touches on both perspectives of staff involvement:
- staff works with the data, processes it, etc. and thus is the agent of the company
- the company, to show accountability, should set up a balanced way of controlling the staff, which per se involves processing personal data of the staff members
The slides come with notes that in short explain the visuals on the slides.
IS/DPP for staff #7 - Incidents
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IS/DPP for staff #6 - Acceptable use
An example of how the staff training on information security, data protection and privacy (IS/DPP) could look.
This part is on the acceptable use of the companies (and sometimes also own) means. Each company should add what is appropriate for it.
The slides come with notes that in short explain the visuals on the slides.
IS/DPP for staff #5b - Passwords
An example of how the staff training on information security, data protection and privacy (IS/DPP) could look.
The part focusses on authentication, and more particularly on passwords.
The slides come with notes that in short explain the visuals on the slides.
IS/DPP for staff #5a - Access
An example of how the staff training on information security, data protection and privacy (IS/DPP) could look.
This part is on authorization and access rights, focussing on the staff's part in that.
The slides come with notes that in short explain the visuals on the slides.
IS/DPP for staff #3b - Data Classification
An example of how the staff training on information security, data protection and privacy (IS/DPP) could look.
This part is on data classification, drilling a bit deeper into confidentiality, integrity, availability (=CIA), privacy (=CAPI), traceability, and retention (=PATRIC), to be amended to meet the specific organisation's setup.
The slides come with notes that in short explain the visuals on the slides.
IS/DPP for staff #3a - Data
An example of how the staff training on information security, data protection and privacy (IS/DPP) could look.
This part is on the concept of data, reasons for protecting data, personal data and data processing.
The slides come with notes that in short explain the visuals on the slides.
IS/DPP for staff #2 - Why?
An example of how the staff training on information security, data protection and privacy (IS/DPP) could look.
This part is on the reason why we should live up to the rules of IS/DPP, from a "negative" perspective (what do we want to avoid?) and from a "positive" perspective (what do we want to accomplish?).
The slides come with notes that in short explain the visuals on the slides.
IS/DPP for staff #1 - intro
An example of how the staff training on information security, data protection and privacy (IS/DPP) could look.
This is an introduction explaining
- the difference between information security, data protection and privacy,
- the need and usefulness for staff engagement
The slides come with notes that in short explain the visuals on the slides.
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Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Dp5
- 1. PERSONAL DATA PROTECTION Finality Processing personal data Finality Legitimacy Transparency Organisation Proportional End-to-end
- 5. Source: Movie “The Game”
- 7. Source: Movie “Minority Report”
- 8. Source: Movie “You’ve got mail”
- 11. Source: Information Commissioner’s Office, UK
- 12. Source: Movie “Da Vinci Code”
Editor's Notes
- The controller(s) must ensure that personal data is: (a) processed fairly and lawfully; (b) collected for specified, explicit and legitimate purposes and not further processed in a way incompatible with those purposes. Further processing of data for historical, statistical or scientific purposes shall not be considered as incompatible provided that Member States provide appropriate safeguards; (c) adequate, relevant and not excessive in relation to the purposes for which they are collected and/or further processed; (d) accurate and, where necessary, kept up to date; every reasonable step must be taken to ensure that data which are inaccurate or incomplete, having regard to the purposes for which they were collected or for which they are further processed, are erased or rectified; (e) kept in a form which permits identification of data subjects for no longer than is necessary for the purposes for which the data were collected or for which they are further processed. Member States shall lay down appropriate safeguards for personal data stored for longer periods for historical, statistical or scientific use. 05/12/10