Data Science Process and Tools - Philippine Statistics Authority

Download Report

Transcript Data Science Process and Tools - Philippine Statistics Authority

Framework of
engagement :
big data for official use
Roy D. Ibay
AVP Regulatory PLDT – Smart

“Data is increasingly building up on who we are, who we know, where we
are, where we have been and where we plan to go. Mining and
analyzing this data lets us understand and predict how people behave at
the individual, group and global level.”

“The types, quantity and value of data being collected are vast: from
personal profiles on sites like Facebook or Instagram to demographic
data, from bank accounts to medical records to employment profiles.
Our web searches and sites visited, including our likes and dislikes and
purchase histories; our heart rates, food intake, home temperatures,
whether our lights are on or off.”
Source: Data and the fourth industrial revolution (2 Dec 2015) by Alan Marcus Senior Director, Head of Information Technology and Telecommunications Industries, World
Economic Forum. https://www.weforum.org/agenda/2015/12/data-and-the-fourth-industrial-revolution
TYPES OF RAW DATA (on line/off
line)
PUBLIC
PERSONAL
PHYSICAL

Government/ Public Agencies
Philippine
Statistical Authority
 other gov’t agencies (LGUs, etc)
PAG ASA
Private Companies
PLDT TALAS
Atos Global
Potential for big data use

Market research

Medical research

Search engines

Credit scores

Tax databases

Fight against terrorism

Combination with physical data

Migration, mobility, behavior, patterns, unlimited potential
Philippine Framework
Other laws :

Anti-Wire tapping law (R.A. 4200)

NTC MC 4-06-2007

DTI Department Administrative Order #8

Access Device Regulation Act

E Commerce Act (R.A. 8792)

Human Security Act of 2007

Cybercrime law
Data Privacy Act (R.A. 10173)
PRINCIPLES
OF DATA
PROTECTION






Fair and lawful
Specific Purpose
Adequate
Retention
Rights
Security


Draft implementing rules released ( 17 June 2016)
 No final rules yet in place
Extra territorial application of the law ( sec. 6)
 Person or entity processing personal data is found in
the Phils.
 Processing relates to personal data of Filipino or
resident of the Phils.
 Act of processing is done in the Philippines
 Act of processing by an entity has links to the
Philippines (equipment, contract, central
management in country, branch /agency , entity
holds data in country)
DATA PRIVACY OFFICER
 accountable for ensuring compliance
 Manage the privacy aspect in all areas of operation (human
resources)
 Plan, implement and evaluate programs ( i.e. accountability and
transparency) for data privacy, security
 PERSONAL INFORMATION CONTROLLERS
 Protocol, design for data collection,
 Policy and procedure for data subjects to exercise their rights
 Access management policy
 Procedures to limit, monitor, remedies for breach, disposal of records
 Contracts with third parties; quality management program
 Guidelines for physical security, technical security

Principles for Data sharing (RA 10173)

Data sharing or further processing of personal data

Specifically provided for by law or allowed

Data subject consents to the data sharing

Data sharing for commercial purpose covered by an agreement

Data subject be provided with the following information ( identity of
all controllers, purpose, categories, intended recipients, rights of
subject, other info)

Further processing adhere to data privacy act principles

Data sharing agreement should be comprehensive enough

Agreement shall be subject for review by Commission

Other cases allowed by the Commission
GSMA Privacy Design Guidelines for Mobile
Applications

WHY LOCATION DATA PRIVACY MANAGEMENT IS
CHALLENGING
Growing Complexity:
 Access
 Technology
 Business models
 Data
Uniquely Sensitive :
 Inference
 Completeness
 Hidden Details
Legal Differences :
 Unclear precedence & similarities

(Location forum-location data privacy
guidelines)
FURTHER

Device (new technologies, artificial intelligence)
 Man
to Machine
 Machine

CHALLENGES
to Machine
ACCURACY, INTEGRITY, COMPETENT AUTHORITY
END OF PRESENTATION
thank you
[email protected]