A constantly evolving set of guidelines– We’re all concerned about privacy
Local/regional– State and local governments set privacy limits– Legal information, vehicle registration details, medical licensing
National– Privacy laws for everyone in a country– HIPAA, online privacy for children under 13, etc.
Global - Many countries are working together for privacy
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2
Q
GDPR - General Data Protection Regulation
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European Union regulation– Data protection and privacy for individuals in the EU– Name, address, photo, email address, bank details, posts on social networking websites, medical information, a computer’s IP address, etc.
Controls export of personal data– Users can decide where their data goes– Can request removal of data from search engines
Gives “data subjects” control of their personal data– A right to be forgotten
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3
Q
Data subject
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Any information relating to an identified or identifiable natural person– An individual with personal data
This includes everyone– Name, ID number, address information, genetic makeup, physical characteristics, location data, etc.– You are the data subject
Laws and regulations– Privacy is ideally defined from the perspective of the data subject
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4
Q
Data responsibilities
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High-level data relationships– Organizational responsibilities, not always technical
Data owner– Accountable for specific data, often a senior officer– VP of Sales owns the customer relationship data– Treasurer owns the financial information
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5
Q
Data Roles
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Data controller– Manages the purposes and means by which personal data is processed
Data processor– Processes data on behalf of the data controller– Often a third-party or different group
Payroll controller and processor– Payroll department (data controller) defines payroll amounts and timeframes– Payroll company (data processor) processes payroll and stores employee information
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6
Q
Data inventory and retention
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What data does your organization store?– You should document your data inventory
Data inventory– A listing of all managed data– Owner, update frequency, format of the data
Internal use– Project collaboration, IT security, data quality checks
External use– Select data to share publicly– Follow existing laws and regulations