High-level seminar on integrating non-traditional data sources into National Statistical Systems (NSS)

1 Oct 2018 | Event

Work area(s)

Statistics

Topic(s)

Statistical innovation Institutional framework for statistics Demography Economic statistics Environmental statistics Social statistics
<span>High-level seminar on integrating non-traditional data sources into National Statistical Systems (NSS)</span>

Event information

This high-level seminar was held at ECLAC headquarters, within the framework of the seventeenth meeting of the Executive Committee of the Statistical Conference of the Americas.

Date

1 - 02 Oct 2018, 09:00 - 18:00
View Agenda

Event type

Meetings and technical symposiums

Participation

By registration

Address

Sede de la CEPAL / Headquarters of ECLAC
Santiago Región Metropolitana
Chile

 

The High-level seminar on integrating non-traditional data sources into National Statistical Systems (NSS) took place in Santiago, Chile, on 3 and 4 October 2018. It was jointly organized by ECLAC and the European Statistical Office (Eurostat). 

The seminar focused on the presentation and discussion of tools aimed at the innovative use of non-traditional data sources in the field of official statistics.

 

Schedule

 

1 Oct 2018

Opening session

  • Pascual Gerstenfeld, Director of the Statistics Division of ECLAC
  • Rosemary Montgomery, Eurostat

Round table to introduce participants

Introduction and general context

Overview on the different types of non-traditional data sources and their usage on different statistical domains, types of entities that collect or produce them and their linkage to National Statistical Systems.

Rosemary Montgomery
EUROSTAT and Big Data

Pascual Gerstenfeld, CEPAL
Panorama de los diferentes tipos de fuentes de datos no tradicionales y su uso en diferente dominios estadisticos, tipos de entidades que colectan y producen dichas fuentes de datos y su vinculacion con los Sistemas Estadisticos Nacionales

A. Experiences in the innovative use of non-traditional data sources for statistics

A.1 Experiences in the innovative use of non-traditional data sources for statistics

CEPAL
Fuentes de datos para el medio ambiente, el cambio climático y las estadísticas de desastres

Instituto Brasilero de Geografía y Estadística (IBGE)
Land cover/use and forest cover classification, statistics and indicators

Ministerio de Medio Ambiente de Chile
Elaboración de indicadores y cuentas ambientales: cobertura terrestre y forestal, emisiones/concentraciones de contaminación atmosférica, flujos de materiales y otros indicadores seleccionados

Instituto Nacional de Estadísticas (INE), Chile
Uso de encuestas económicas para producir estadísticas sobre el Gasto Ambiental Privado

Instituto Nacional de Estadística y Censos (INEC), Costa Rica
Integración de fuentes de datos innovadoras para la compilación de los indicadores ODS sobre agua y cobertura verde de las montañas

A.2 Economic statistics

Instituto Nacional de Estadística, Geografía e Informática (INEGI) de México
Registros administrativos económicos 

CEPAL
Datos de Internet para índices de precios

Instituto Brasilero de Geografía y Estadística (IBGE)
Web scraping and Electronic Invoice

A.3 Demographic and Social statistics

Pasi Piela, Statistics Finland
Non-traditional data sources in Social Statistics

Instituto Nacional de Estadística, Geografía e Informática (INEGI) de México
Social networks, Twitter, other big data

UNFPA
Uso innovador de los registros administrativos y otras fuentes para las estadísticas demográficas y sociales

Javier Carranza Tresoldi, GeoCensos
C2G data partnerships: What can we learn from and recommend to those in the official statistics domain?

Noam Lupu, Director Asociado de LAPOP
Proyecto de Opinión Pública de América Latina

 

2 Oct 2018

B. Institutional and legal elements and challenges

B.1 Political economy of statistical capacity: lessons for non-traditional data sources

Banco Interamericano de Desarrollo (BID)
¿A quién le importa saber? La economía política de la capacidad estadística en América Latina

B.2 Official statistics and National Statistical Systems: possibilities and challenges for non-traditional data sources

Gabriel Gamez, United Nations Statistics Division
Official statistics and National Statistical Systems: Opportunities and challenges for non-traditional data sources

B.3 Official statistics and National Statistical Systems: possibilities and challenges for non-traditional data sources - regional experiences

  1. Departamento Administrativo Nacional de Estadística (DANE) de Colombia
  2. Oficina Nacional de Estadística e Información (ONEI) de Cuba
  3. Instituto Nacional de Estadística y Censos (INEC) de Ecuador
  4. Instituto Nacional de Estadística, Geografía e Informática (INEGI) de México

C. Challenges for quality assurance, data access, institutional coordination and capacity building

C.1 Challenges for quality assurance with non-traditional data sources

EUROSTAT
Providing high quality statistics

C.2 Modalities and constraints for data access and exchange for non-traditional data sources

Hungría

C.3 Challenges in training and capacity building

EUROSTAT: Statistical Training

C.4 Institutional coordination among producers: Joint work between statistical and geospatial institutes

  1. ECLAC
  2. Instituto Geográfico Nacional (IGN), Argentina
  3. Instituto Geográfico Militar (IGM) de Ecuador

Conclusions and closing remarks

 

Related content

1 Oct 2018 | News
Panorámica de la sala durante la inauguración del seminario.

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3 Oct 2018 | Press Release
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