Working Group Data Integration

The Working Group on Data Integration is chaired by Germany and deals with the integration of geospatial data with other information. Currently National Mapping and Cadastral Authorities and National Statistical Institutes from about 20 European UN Member States are members of this Working Group. Eurostat and the Joint Research Center (JRC) actively cooperate in the Work Group since the beginning in 2014. The European Environment Agency (EEA) joined the Work Group in 2017.

Work plan 2014-2017: Data Integration – deliverables on priority user needs, methods and side-effects

	File	Date added
	UN-GGIM: Europe Deliverable Sub-Working Group B1 – “Data Integration – Definition of priority user needs for combinations of data”
	UN-GGIM: Europe Deliverable Sub-Working Group B1 – Annex II to Report SWG B1 on Priority User Needs ver 1.1
	UN-GGIM: Europe Deliverable Sub-Working Group B.2.1 – “The methods of implementing the prioritised combinations of data: Review of current European Interoperability Frameworks and geospatial and statistical integration projects regarding methods of combinations of data”
	UN-GGIM: Europe Deliverable Sub-Working Group B2.2/2.3 – “The methods of implementing the prioritised combinations of data: Provide best practice guidance to the interactions between NMCAs/NSIs/Environmental Agencies and other relevant organisations. Review current use of data from multiple sources to identify case studies and best practices relevant for combinations with core data”
	UN-GGIM: Europe Deliverable Sub-Working Group B3 – “Report of the Work Group Data Integration about how to manage side-effects induced by data combinations” Ver1.0

Work plan 2017-2019: Data Integration – deliverables on policy outreach and SDG indicator analysis

	File	Date added
	Read me first
	SDG 11.2.1 Proportion of population that has convenient access to public transport
	Discussion- SDG 11.2.1 Proportion of population that has convenient access to public transport
	SDG 11.3.1 Ratio of land consumption rate to population growth rate
	Discussion- SDG 11.3.1 Ratio of land consumption rate to population growth rate
	SDG 11.7.1 Average share of built-up areas of cities
	Discussion- SDG 11.7.1 Average share of built-up areas of cities
	SDG 15.1.1 Forest area as a proportion of total land area
	Discussion- SDG 15.1.1 Forest area as a proportion of total land area
	Questionnaire to promote data integration for policy outreach
	The territorial dimension in SDG indicators: geospatial data analysis and its integration with statistical data
	The integration of statistical and geospatial information — a call for political action in Europe2019
	Leaflet - An Informed World
	UNGGIM-Europe Report Evaluation PolicyPaper

Work Plan 2019-2022: Data Integration - deliverables on computing SDG indicators and data integration methods

	File	Date added
	Subgroup-I ScopingPaper v1.0	19/06/2020
	Subgroup-II ScopingPaper v1.0	19/06/2020
	Subgroup-II DataIntegrationMethods	26/11/2021
	Guidelines for SDG Indicator Calculation - Overarching Conclusions	17/01/2022
	Guidelines for SDG Indicator Calculation - 11.2.1 Proportion of population that has convenient access to public transport, by sex, age and persons with disabilities	17/01/2022
	Guidelines for SDG Indicator Calculation - 11.3.1 Land consumption rate to population growth rate	17/01/2022
	Guidelines for SDG Indicator Calculation - 15.1.1 Forest area as a proportion of total land area	17/01/2022
	Guidelines for SDG Indicator Calculation - 15.3.1 Proportion of land that is degraded over total land area	17/01/2022
	Evaluation of the Webinar Paving the way for new markets Challenges and recommendations	14/07/2022

Upcoming Event 25/04/2023

Webinar - Showcasing the added value of geospatial and statistical data integration to compute SDG indicators

See all events >

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