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7.3 Data Governance

Class Description (KS Park) 

    - what is meant by networked data
    - platforms and intermediary liability 
    - hyper-linking and various data transfer restriction laws 
    - search engines and various data transfer restriction laws
    - jurisdictions of various disputes on a global network (data localization and MLAT)

    Remark: 2017 APSIG covers Data Governance with a 90-minutes class, and a 30-minutes case studies;
                         - 7.2 Data Governance by KS Park 
                         - Case Studies on Data Governance; multinational corporations (Google), government (India/Dr.Govind)

Class Description (AB Munir):

    1. Internet governance of data at service providers (domestic, overseas)
    2. Safe Harbor and its global implication including Asia Pacific
    3. Cooperation between EU and Asia Pacific
    4. Other legal, political and governance issues
    5. Case studies

Class Description (IT for Change)

We live in an age where data is the new oil. Our data traces -- digital shadows of ourselves, and the mining and manipulating of such data doubles has         
become the fuel on which the platform economy runs. In the new data regime, many have pointed to the unholy nexus between big business and                 
governments, the rise of what has been termed the 'network-data complex'. The anxiety around this has seen ideas and advocates for plugging                    
 loopholes in existing privacy frameworks, with many rallying around the demand for more effective data protection legislation. But if the governance of         
networked data is to be reduced entirely to privacy, there are many crucial concerns that we lose sight of, such as concerns stemming from an                     
increasing reliance on centralised, algorithmic decision-making by state agencies, and fencing-in/ enclosure of the data commons by big business that        
 restricts public interest re-use of data sets.

    This lecture will push the boundaries of the debate on data governance beyond privacy and surveillance, by teasing out the critical concerns for                     
democracy that the emerging data regime around us is opening up; and highlight lacunae in existing policy frameworks. 

Class Description (Royal Society and British Academy, UK; Hall and Pesenti)

A set of high-level principles is needed to visibly shape all forms of data gvoernance and ensure trustworthiness and trust in the management of 
and use of data as a whole.
  4 Principles;
     - protect individual and collective rights and interests
     - ensure the trade-offs affected by data management and data use are made transparently, accountably, and inclujsively.
     - seek out good practices and learn from success and failure
     - enhance existing democratic governance
3 Functions;
     - Anticipate, monitor and ealuate
     - Build practices and set standards
     - Clarify, enforce and remedy

List of Topics (2017 IGF Workshop on data governance and policy; Report to be completed in 2018)
    - policy, legal, human rights, and economic skills and knowledge
    - privacy, security, infrastructure, and content policy

Lecture Pool
Additional Candidate Lecturers: KS Park, Parminder Jeet Singh, AB Munir,..

    Marilyn Cade, Data for sustainable development road map, IGF, 2017.
    Caserta Concepts, Components of Data Governance
    Conner Doherty, et al., Data Warehousing in the age of AI, O'Reilly, 2017.
    DW Hall and J. Pesenti, Gorwing AI Industry in UK, 2017.
    GDPR Handbook: Unlocking the EU General Data Protection Regulation by White and Case, 2017.
    Japanese Government, Declaration to be the world most advanced IT nation, 2017.
    Japanese Gvoernmnet, Basic act on advancement of utilizing public and private sector data, 2016.
    Media Lab, Data Basic, MIT, 2017.
    Medium, New age of data science, 2018.12.
    A.B. Munir, et al., Personal data protection in Malaysia, 2010.
    A.B. Munir, Data protection laws in Asia, 2015.
    My Data Global, 2018.
    Ginni Rometty (IBM), We need a new era of data responsibility, WEF, 2018.1.
   Washingnton Post, A White House Data Scientist.........., 2016.
   White House, Big data and privacy, 2014.
   European Data Portal, Open Data in European Cities, 2017/