Statistics Canada Statistique Canada Protecting Confidentiality in Canadian Research Data Centres Cynthia Cook Senior Research Data Centre Analyst, Statistics.

Slides:



Advertisements
Similar presentations
1 OECD Conference: Assessing the Feasibility of Micro-Data Access Micro-Data Access Questionnaire: Synthesis Luxembourg, October 2006 Nadim Ahmad,
Advertisements

DLI & Research Data Centres Creating a better understanding of these two programs Chuck Humphrey Data Library University of Alberta April 2004.
Public Use Microdata File (PUMF) 1. Change factors 2. Scenarios : characteristics 3. Analytic Content: additions and losses Outline DLI Ontario.
Balancing Access and Confidentiality Jenny Telford Australian Bureau of Statistics September 2008.
WORLD BANK AMFA – Investors Fair Good Practices for Consumer Protection in Financial Services Baku, 7 October 2009 Juan Carlos Izaguirre Consultant Consumer.
University Data Classification Table* Level 5Level 4 Information that would cause severe harm to individuals or the University if disclosed. Level 5 information.
Statistical Disclosure Control (SDC) at SURS Andreja Smukavec General Methodology and Standards Sector.
Business microdata dissemination at Istat Daniela Ichim Luisa Franconi
Database Management System MIS 520 – Database Theory Fall 2001 (Day) Lecture 13.
Meeting the Challenge The National Population Health Survey and Data Access E. Hamilton UNB Libraries IASSIST 2003.
Farm Business and Farm Household Survey Data Customized Data Summaries from ARMS for Statistical Analysis Philip Friend USDA ‘s Economic Research Service.
Public Data and a Thriving Democracy: Opportunities and Responsibilities.
Access routes to 2001 UK Census Microdata: Issues and Solutions Jo Wathan SARs support Unit, CCSR University of Manchester, UK
Statistics Canada Statistique Canada mai 2005 / 1.
Developing a Statistical Disclosure Standard for Europe Tanvi Desai LSE Research Laboratory Data Manager Research Laboratory IASSIST 2010: Cornell.
Eurostat M ODES OF ACCESS TO EU MICRODATA IN THE NEW LEGAL FRAMEWORK A LEKSANDRA BUJNOWSKA E UROSTAT S TATISTICAL OFFICE OF THE E UROPEAN U NION.
Session 4. Panel session: How useful is the notion of “circle of trust” concept ? A vision for the future. Maurice Brandt Destatis Germany 2ND EUROPEAN.
Canadian Health Measures Survey (CHMS) Biobank Joanne Boisjoli Health Statistics Division Statistics Canada 1 Statistics Canada Statistique Canada.
Statistics Canada’s Real Time Remote Access Solution 2011 MSIS Meeting – Karen Doherty May 2011.
Disclosure Avoidance: An Overview Irene Wong ACCOLEDS/DLI Training December 8, 2003.
Chuck Humphrey Data Library Co-ordinator University of Alberta May 16, Capitalising on Metadata Tool development plans IASSIST 2007.
Daniel Beckler United States Department of Agriculture National Agricultural Statistics Service Timothy Mulcahy NORC at the University of Chicago Topic.
Creating Electronic Forms in Word Creating Forms in Word 2003 What is an electronic form? What is an electronic form?
The Research Data Centre Program Microdata Access Division Heather Hobson April 23, 2009.
Framework of Statistical Information. This is a typology of the categories or classes of statistical information. Remember the relationship between statistics.
Name Position Organisation Date. What is data integration? Dataset A Dataset B Integrated dataset Education data + EMPLOYMENT data = understanding education.
Privacy, Personal Data and the Cloud Billy Hawkes Data Protection Commissioner Public Affairs Ireland Conference Dublin, 30 June 2011.
Use of Administrative Data Seminar on Developing a Programme on Integrated Statistics in support of the Implementation of the SNA for CARICOM countries.
Michelle Simard Statistics Canada UNECE Worksessions on Statistical Disclosure Control Methods Helsinki, October 2015 Development of rules from administrative.
Disclosure Avoidance at Statistics Canada INFO747 Session on Confidentiality Protection April 19, 2007 Jean-Louis Tambay, Statistics Canada
26 August 2011 Future of access to EU confidential data for scientific purposes Jean-Marc Museux Eurostat – 58th ISI conference,
WORLD BANK Consumer Protection & Financial Literacy in Azerbaijan Susan Rutledge Coordinator Consumer Protection & Financial Literacy Programs Baku, June.
Economic Research and Policy Analysis Branch May 6, 2010 Access to Business Micro-Data to Support Economic Research and Policy Analysis: Where Do We Go.
Protection of frequency tables – current work at Statistics Sweden Karin Andersson Ingegerd Jansson Karin Kraft Joint UNECE/Eurostat.
United Nations Regional Seminar on Census Data Archiving for Africa, Addis Ababa, Ethiopia, September, 2011 Introduction to Census Archiving Session.
Creating Open Data whilst maintaining confidentiality Philip Lowthian, Caroline Tudor Office for National Statistics 1.
Energy Balances Communication Of The Results The Canadian Experience Gary Smalldridge, Chief, Energy Section May 2009.
The views expressed herein are those of the author and should not necessarily be attributed to the IMF, its Executive Board, or its management Data Confidentiality,
Disclosure Analysis: What do RDC Analysts do? Research Data Centre Program, Statistics Canada James Chowhan Ontario DLI Training, Queen's University
1 Week 7 - System analyst IT2005 System Analysis & Design.
National Boot camp Vancouver Heather Dryburgh and Michel B. Séguin May 31 st, 2011 Survey Life cycle.
David Price October 2011 Real Time Remote Access (RTRA) #10.
TOP 10 TECHNOLOGY INITIATIVES Robert G Parker July 12, 2013.
CHALLENGES RELATED TO THE IMPLEMENTATION OF 2008 SNA.
Michelle Simard Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality Tarragona, Spain, November 23 rd, 2011 Progress on Real Time Remote.
Security Methods for Statistical Databases. Introduction  Statistical Databases containing medical information are often used for research  Some of.
Karen Wilson Assistant Chief Statistician National Accounts & Analytic Studies Statistics Canada Productivity Measurement in the CSNA.
Joint UNECE/Eurostat work session on statistical data confidentiality October 2015 Helsinki, Finland Circle of trust Maurice Brandt DESTATIS.
1 OECD Project: Assessing the Feasibility of Micro-Data Access Entrepreneurship Indicators Project Steering Group Nadim Ahmad, Statistics Directorate,
Table of Contents. Lessons 1. Introduction to HIPAA Go Go 2. The Privacy Rule Go Go.
Big Data Analytics Are we at risk? Dr. Csilla Farkas Director Center for Information Assurance Engineering (CIAE) Department of Computer Science and Engineering.
Financial Sector Cybersecurity R&D Priorities The Members of the FSSCC R&D Committee November 2014.
CLA 2013 LORRAINE BUSBY MEMORIAL UNIVERSITY OF NEWFOUNDLAND.
Jeff Warnock COSC 352 Indiana University of Pennsylvania Spring 2010.
“Data from national surveys: access, analysis, and sharing”
Sharing Project Lessons
Navigating Your Way Through the EFT, Nesstar and Beyond 20/20 (WDS)
United Nations Statistics Division
Frameworks for Sensitive Data in the Research Lifecycle
Research Data Centre DLI Workshop (December, 2001)
Presented: 2009 Canadian Users Stata Group Meeting
Data from statistical modeling (e. g
DATABASE SECURITY For CSCL (BIM).
Protecting Confidential Data
Disclosure Avoidance: An Overview
Telling Canada’s story in numbers Marie-Josée Major
Federal Statistical Office Germany Research Data Centre
Capitalising on Metadata
Item 5 Wim Kloek, Eurostat
Jerome Reiter Department of Statistical Science Duke University
Presentation transcript:

Statistics Canada Statistique Canada Protecting Confidentiality in Canadian Research Data Centres Cynthia Cook Senior Research Data Centre Analyst, Statistics Canada

Statistique Canada mai 2005 / 2 1.Think about multiple, complimentary modes of data access. 2.Choose between perturbing data or perturbing results. 3.Institutional costs from breeches of disclosure can influence data access. 4.Researcher Engagement can be your best line of defense against disclosure.

Statistics Canada Statistique Canada mai 2005 / 3 Greater Risk of Disclosure Public Access Restricted Access Perturbed Data Unperturbed Data Loss of Access & Utility Research Data Centre Program Data Liberation Initiative

Statistics Canada Statistique Canada mai 2005 / 4 Research Data Centres Secure computing lab Statistics Canada household surveys Unperturbed, full data files (without personal identifiers) Mostly longitudinal data Only analytical output leaves the centre after vetting for disclosure Conditional access to foreign researchers A contractual obligation to produce a product Rely on researchers to determine risk of disclosure Data Liberation Initiative Data Library Statistics Canada household surveys Perturbed, partially suppressed data files (without personal identifiers) Mostly cross-sectional data No restrictions on the release of analytical output No access to foreign researchers No contractual obligation to produce a product Rely on data to determine the risk of disclosure

Statistics Canada Statistique Canada mai 2005 / 5 The output from modeling data poses less of a risk to disclosure than the data itself. Some researchers want the output from modeling data. Invest in controlling the results, rather than controlling the data to satisfy data user needs. Eg. Gini Coefficients. Research Data Centre Program

Statistics Canada Statistique Canada mai 2005 / 6 Legally Physically Electronically Analytically → Disclosure Risk Management Protect Response Rates Of Voluntary Household Surveys

Statistics Canada Statistique Canada mai 2005 / 7 The Researcher Experience of the RDC Analyst Hard and fast rules Intuitive guidelines Statistics Canada Methodologists

Statistics Canada Statistique Canada mai 2005 / 8 Engaging researchers Keeping the volume down Keeping disclosure as a priority given time constraints and research goals Knowing when to get help Solution: Open lines of communication

Statistics Canada Statistique Canada mai 2005 / 9 Research Data Centre Program: All Data Access Mechanisms to Statistics Canada Data: