Big Data for Official Statistics The 2030 Agenda for Sustainable Development

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1 Big Data for Official Statistics The 2030 Agenda for Sustainable Development Ronald Jansen Assistant Director United Nations Statistics Division 10/09/2015 United Nations Statistics Division Slide 1

2 Overview Statistical Data Infrastructure Why use Big Data? Key messages Access to Big Data and privacy issues 10/09/2015 United Nations Statistics Division Slide 2

3 Fundamental Principles of Official Statistics (adopted by the GA on 29 Jan 2014) Principle 1. Official statistics provide an indispensable element in the information system of a democratic society, serving the Government, the economy and the public with data about the economic, demographic, social and environmental situation. To this end, official statistics that meet the test of practical utility are to be compiled and made available on an impartial basis by official statistical agencies to honourcitizens entitlement to public information. 10/09/2015 United Nations Statistics Division Slide 3

public with data about the economic, demographic, social and environmental situation.

4 Statistical Data Infrastructure Population and housing census Economic census Agriculture census Household surveys Business surveys Country District Community Person Business 1. Statistical data 10/09/2015 United Nations Statistics Division Slide 4

surveys Country District Community Person Business 1.

5 Statistical Data Infrastructure Civil Register Business Register Road and Waterway Register Community District Country Land Register Person Building Register Business 2. Register Data 10/09/2015 United Nations Statistics Division Slide 5

Country Land Register Person Building Register Business 2.

6 Statistical Data Infrastructure Tax (VAT) data Social security data Water consumption data Trade associations Social benefits data Country District Community Person Business 3. Other Administrative Data 10/09/2015 United Nations Statistics Division Slide 6

data Country District Community Person Business 3.

7 Statistical Data Infrastructure Satellite imagery and aerial data Mobile phone data Social media or webscraping data Smart meter or sensor data Credit card or scanner data Country District Community Person Business 4. (Privately held) Big Data 10/09/2015 United Nations Statistics Division Slide 7

Credit card or scanner data Country District Community Person Business 4.

8 Statistical Data Infrastructure 1. Statistical data 2. Register Data Community District Country 3. Other Administrative Data Person 4. Big Data Business Geo-Spatial integration 10/09/2015 United Nations Statistics Division Slide 8

9 Statistical Data Infrastructure 1. Statistical data 2. Register Data Community District Country 3. Other Administrative Data Person 4. Big Data Business Statistical integration: SNA and SEEA 10/09/2015 United Nations Statistics Division Slide 9

10 Why use Big Data? o Fundamental principles of official statistics that data may be drawn from all types of sources to honor citizens entitlement to public information (based on quality, timeliness, cost) o Modernization of statistical production and services Ongoing developments led from Europe Expectation from society of better products o The 2030 agenda for sustainable development This agenda is a plan of action for people, planet and prosperity. All countries and all stakeholders, acting in collaborative partnership, will implement this agenda. 10/09/2015 United Nations Statistics Division Slide 10

(based on quality, timeliness, cost) o Modernization of statistical production and services Ongoing developments led from Europe Expectation from

11 Why use Big Data? o The 2030 agenda for sustainable development (cont.) Quality, accessible, timely and reliable disaggregated data will be needed to help with the measurement of progress and to ensure that no one is left behind. Such data is key to decision-making We will promote transparent and accountable scalingup of appropriate public-private cooperation to exploit the contribution to be made by a wide range of data, including earth observation and geospatial information, while ensuring national ownership in supporting and tracking progress 10/09/2015 United Nations Statistics Division Slide 11

12 Key messages Big Data for core national statistics for integrated economic, social and environmental policies Big Data for agile statistics for emergency issues Big Data to keep official statistics relevant private sector moves fast Big Data as part of modernization of statistical systems new production processes and partnerships Big Data to meet the data demand of the 2030 agenda monitoring policies leave no one behind 10/09/2015 United Nations Statistics Division Slide 12

Data as part of modernization of statistical systems new production processes and partnerships Big Data to meet the

13 Why is access to Administrative Data different from access to Big Data (privately held)? Canada Smart meter data Netherlands Road sensor and Mobile Phone Data USA Web-scraping and partnerships Ireland Mobile Phone data Mexico Twitter 10/09/2015 United Nations Statistics Division Slide 13

Canada Smart meter data Netherlands Road sensor and Mobile Phone Data

14 Big Data Survey July-August countries responded 110 Big Data projects (by 45 countries) Popular data sources Mobile Phone data, Social Media data, Web-scraping, Scanner data 10/09/2015 United Nations Statistics Division Slide 14

sources Mobile Phone data, Social Media data,

15 Access to Big Data and privacy issues o Use of Administrative Data Existing legal frameworks o Use of Company Data National council on privacy protection National stakeholder group on data access? Corporate social responsibility Data as a public good o Partnerships (at international level) ITU members UN Global Compact Corporate social responsibility Extension of Fundamental Principles Principles of Data Access 10/09/2015 United Nations Statistics Division Slide 15

Corporate social responsibility Data as a public good o Partnerships (at international level) ITU members UN Global

16 United Nations Global Working Group on Big Data for Official Statistics o Created in March 2014 o 32 Members 22 Countries and 10 International Agencies o 8 Task Teams Advocacy and Communications Access and Partnerships Big Data and the SDGs Training and Skills Cross-cutting issues Mobile Phone data Social Media data Satellite Imagery Data 10/09/2015 United Nations Statistics Division Slide 16

Access and Partnerships Big Data and the SDGs Training and Skills Cross-cutting issues Mobile

17 UN GWG on Big Data for Official Statistics o Global Conferences Beijing, China, Oct 2014 Abu Dhabi, UAE, Oct 2015 Dublin, Ireland, /09/2015 United Nations Statistics Division Slide 17

Dhabi, UAE, Oct 2015 Dublin, Ireland, 2016

UN Global Working Group (GWG) on Big Data for Official Statistics. Presented by: Gemma Van Halderen

UN Global Working Group (GWG) on Big Data for Official Statistics Presented by: Gemma Van Halderen Role of the UN GWG Created in 2014, as an outcome of the 45 th meeting of the UN Statistical Commission.