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Integrated Data Infrastructure (IDI) Project manager – Guido Stark

Learn how Statistics New Zealand maintains privacy in large-scale data integration projects through the Integrated Data Infrastructure (IDI) under the guidance of Project Manager Guido Stark. Discover the importance of data security, confidentiality, and privacy principles in maintaining privacy while maximizing the use of data integration. Explore the benefits and risks associated with data integration, as well as the policies and measures in place to safeguard data privacy.

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Integrated Data Infrastructure (IDI) Project manager – Guido Stark

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  1. Integrated Data Infrastructure (IDI)Project manager – Guido Stark Linking data across government How Statistics New Zealand maintains privacy in large scale data integration projects June 2012

  2. History 2008 LEED – MSD Benefit data Person to BusinessLink EMSSelf-employedIR 2004 Student Loans (SL) BenefitsMSD (BDD) Student Loans IRMSD (StudyLink)SLAM EducationTertiary MoE 2009 Employment Outcomes of Tertiary Education (EOTE) Person to BusinessLink EMSSelf-employedIR 2005 Linked Employer-Employee Data (LEED) EducationTertiary MoE Person to BusinessLink EMSSelf-employedIR 2010 EOTE + secondary education data EducationSecondary MoE Person to BusinessLink EMSSelf-employedIR 2007 Student Loans and Allowances (SLA) Student Loans & AllowancesIRMSD (StudyLink)SLAM EducationTertiary MoE EducationTertiary MoE 2011 LEED – Household Labour Force Survey (HLFS) Person to BusinessLink LBD EMSSelf-employedIR HLFSStats NZ 2007 Prototype Longitudinal Business Database

  3. Statistics 2020 – Te Kāpehu Whetū Achieving the statistical system of the future • Lead the Official Statistics System • Responding to customer needs • Obtain more value from official statistics • Transform the way we deliver statistics • Maximise the use of administrative data • Increase use of data integration • Create a responsive, customer-focused, influential, and sustainable organisation Data integration raises real and perceived privacy risks

  4. Integrated Data Infrastructure (IDI)Project manager – Guido Stark

  5. Data Integration PolicyFour key principles

  6. The triangle Privacy Safe Data Security Confidentiality

  7. IDI security • Secure workspaces • Limited access • Access control • Regular audits of access and use • Output control

  8. IDI confidentiality • Encryption / transformation • IDI rules • Aggregating • Rounding • Suppression • Output checking • Statistical vs operational

  9. IDI privacy • Privacy Impact Assessment • www.stats.govt.nz/IDI • Risks • Information used in a way that is detrimental to their personal circumstances • Information might be released that identifies them and aspects of their personal circumstances • Unrelated information might be collected about them in an ever-growing database for non-specific purposes (i.e. ‘Big Brother’). • Benefits • Potential for new official statistics • Provides an evidence base for research, evaluation, and policy formulation • Meets Statistics NZ’s strategic priorities

  10. Data Integration Policy • The Privacy Act 1993Principle 1: Purpose of collection of personal information Principle 2: Source of personal information Principle 12: Unique identifiers • The Statistics Act 1975Section 3: Official statistics and coordination Section 15: Independence of the Government Statistician Section 37: Security of Information Section 21: Declaration of secrecy

  11. Information flows Restricted access in accordance with Statistics NZ’s Security Framework Load source data Source data Unique identifiers are encrypted Clean source data Create link tables Linking Create core tables Names, addresses, date of birth removed Access for bona-fide statistical purposes to required data sources only Clean source data SNZ derived unique identifier available Core tables Outputs Confidentiality checks

  12. The triangle Privacy Safe projects Safe researchers Safe Data Security Confidentiality Safe access Safe output

  13. Use of the IDI • Developing regular measures of immigrant outcomes • Developing tertiary education outcome indicators • How successful is NZ in retaining qualifications • Intellectual property and productivity • Mapping post-compulsory school pathways and outcomes • The impact of immigration on the labour market • The influence of education on outcomes • What is the impact of gaining qualifications for beneficiaries • Who doesn’t participate in tertiary education • Benefit to work transitions • The effect of wage subsidies on individual and firm employment

  14. Access Making the most of the IDI • Secondment • Statistics NZ datalab • Legal compliance • Bona fide research • Non-regulatory • Proven researcher • Confidentiality • Suitable data source

  15. Integrated Data Infrastructure (IDI) ? ? ? ? Migration dataDoL Educationsecondary & tertiary MoE LBD EMSSelf-employedInland Revenue LEED Student Loans & AllowancesInland RevenueMSD (StudyLink)SLAM Business data Person to business link Central Linking Concordance(CLC) BenefitsMSD (BDD) HLFS / NZISSurvey Outputs Relevant releasesDynamic datasets Cutting edge cubesPowerful research

  16. Questions?IDI Project manager – Guido Stark guido.stark@stats.govt.nz June 2012

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