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Recommendation 9

Recommendation 9: Adopt an integrated location-based approach in the collection and analysis of statistics on different topics and at different levels of government

Implementation guidance	Related information
Why How Challenges Best Practices	LIFO Monitoring Related Frameworks: EIF Related Frameworks: UN-GGIM IGIF ELISE Resources Further Reading

Why

Much statistical data has a geospatial component.
The techniques and mechanisms used nationally and in different policy areas for location-based data collection and analysis are not sufficiently well integrated to support pan European or cross-domain analysis and comparisons.
The challenge in integrating location-based statistical data may hinder the timeliness and extent of analysis that can be undertaken, inhibiting the potential value of the policy evidence base.
Geospatial information combined with statistics underpins evidence-based policy making and political decisions at all levels in government and helps deliver better services based on informed decisions.
Periodic monitoring of geographically related indicators over time is a typical requirement for many EU Directives, e.g. the Air Quality Directive, the Water Framework Directive, the Marine Strategy Framework Directive.
With a common geospatial framework policy makers in public administrations will be able to combine different methods of location-based data collection to inform their policy decisions, including census data, transaction data, social media information etc.

How

Reference framework

Member States create and maintain an accurate and up-to-date knowledge base of where their citizens and businesses are located. This will make the collection of census and other statistical data as straightforward as possible.
Member States have a common geospatial reference framework for statistics to enable timely, accurate and efficient production of location-based statistics. This should be based on geocoded registers of administrative units, addresses, buildings and dwellings and use consistent and persistent identifiers to reference relevant information. The geospatial reference framework for statistics can benefit from INSPIRE which provides a valuable framework for standardising and modelling the SDI, enabling the widest possible collation of harmonised data.
The geospatial reference framework for statistics forms the basis for the collection of census data, including supporting dynamic census data collection.
To support the production of statistics and census information, it is important to understand the origin, production process and other aspects of the quality of geospatial data. INSPIRE metadata should be used as the basis for this documentation.

Dynamic data capture

Member States have mechanisms to enable frequent (‘dynamic’) collection of statistical information taking account of this ‘location’ knowledge.
Opportunities are taken to streamline and improve statistical data collection, taking into account new sources of information, such as sensors, social media, web analytics etc.

Statistical analysis

Public authorities apply analytical techniques (customer analytics, location intelligence) to help improve public services. For example, Transport for London uses ‘big data’ analysis of vehicles, vehicle location, traffic information and payment cards to reveal patterns or trends and enable action to be taken.
The spatio-temporal dimension of statistics is captured in a format that enables it to be used readily in a GIS for geostatistical analysis, with consistent geo‑reference data and other consistent coding to enable it to be analysed at different geographic / administrative levels.
Include relevant private sector data in the statistical information infrastructure.
Ensure the location intelligence infrastructure is continuously kept relevant to growing and evolving needs.

Challenges

Too much data and not enough information – there is so much data that can be collected and analysed, with risk of hiding or missing the message.
Drawing conclusions based on location may be too simplistic to determine appropriate interventions.
Establishing a common basis for analysis and comparison in multiple geographies and domains is very challenging.

Best Practices

LIFO Monitoring

The Location Information Framework Observatory (LIFO) monitors the implementation of EULF Blueprint recommendations in European countries. Read about the implementation of Recommendation 9 in the LIFO Country Factsheets or the LIFO European State of Play Report. Explore the results for selected countries at LIFO Interactive Dashboards - Recommendations.

Related Frameworks: European Interoperability Framework (EIF)

EIF Pillars	Recommendations
Underlying Principle 6: User centricity	Recommendation 11: Provide a single point of contact in order to hide internal administrative complexity and facilitate users' access to European public services.
Basic Component 3: Base registries	Recommendation 37: Make authoritative sources of information available to others while implementing access and control mechanisms to ensure security and privacy in accordance with the relevant legislation.
Basic Component 3: Base registries	Recommendation 38: Develop interfaces with base registries and authoritative sources of information, publish the semantic and technical means and documentation needed for others to connect and reuse available information.

Related Frameworks: UN-GGIM Integrated Geospatial Information Framework (IGIF)

Strategic Pathway 4: Data

Documentation

Elements

Implementation Guide

Data Themes

Data Curation and Delivery

Actions	Tools
1. Getting Organised
Data Framework	APP4.1: Data Theme Description Template The Global Fundamental Geospatial Data Themes
6. Integrating Data
Geospatial and Statistical Integration	APP4.12: Guidance for Geospatial and Statistical Integration Global Statistical Geospatial Framework
Geocoding and Aggregation

Strategic Pathway 5: Innovation

Documentation

Elements

Implementation Guide

Bridging the Geospatial Digital Divide

Actions	Tools
3. Transformation Roadmap
Modern Data Creation Methods	APP5.7: Modern Data Creation Methods
6. Innovation Ecosystem
Bridging the Digital Divide	APP5.12: Open SDG Data Hubs

ELISE Resources

Type	Resource	Date

Further Reading

Version: EULF Blueprint v5.1

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