Data Manager or Data Scientist

Recomm-endations

Data policy and govern-ance

Data specific-ation and modelling

Data acquis-ition and quality

Data document-ation, organis-ation and control

Data access, sharing and dissem-ination

Data ware-housing and analytics

Data archiving

1. Connect location information and digital government strategies in all legal and policy instruments

2. Make location information policy integral to, and aligned with, wider data policy at all levels of government

3. Ensure all measures are in place, consistent with legal requirements, to protect personal privacy when processing location data

4. Make effective use of location-based analysis and location intelligence for evidence-based policy making

5. Use a standards based approach in the procurement of location data and related services in line with broader ICT standards based procurement

Recomm-endations

Data policy and govern-ance

Data specific-ation and modelling

Data acquis-ition and quality

Data document-ation, organis-ation and control

Data access, sharing and dissem-ination

Data ware-housing and analytics

Data archiving

6. Identify where digital public services can be simplified or transformed using location information and location intelligence, and implement improvement actions that create value for users

7. Use spatial data infrastructures (SDIs) in digital public services and data ecosystems across sectors, levels of government and borders, integrated with broader public data infrastructures and external data sources

8. Adopt an open and collaborative methodology to design and improve digital public services that are location-enabled

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

Recomm-endations

Data policy and govern-ance

Data specific-ation and modelling

Data acquis-ition and quality

Data document-ation, organis-ation and control

Data access, sharing and dissemin-ation

Data ware-housing and analytics

Data archiving

10. Adopt a common architecture to develop digital government solutions, facilitating the integration of geospatial requirements

11. Reuse existing authentic data, data services and relevant technical solutions where possible

12. Apply relevant standards to develop a comprehensive approach for spatial data modelling, sharing, and exchange to facilitate integration in digital public services

13. Manage location data quality by linking it to policy and organisational objectives, assigning accountability to business and operational users and defining what “Fit for Purpose” means and implies.

Recomm-endations

Data policy and govern-ance

Data specific-ation and modelling

Data acquis-ition and quality

Data document-ation, organis-ation and control

Data access, sharing and dissemin-ation

Data ware-housing and analytics

Data archiving

14. Apply a systematic approach to assessing and monitoring the benefits and performance of location-based services

15. Communicate the benefits of integrating and using location information in digital public services

16. Facilitate the use of public administrations’ location data by non-governmental actors to stimulate innovation in products and services and enable job creation and growth

Recomm-endations

Data policy and govern-ance

Data specific-ation and modelling

Data acquis-ition and quality

Data document-ation, organis-ation and control

Data access, sharing and dissemin-ation

Data ware-housing and analytics

Data archiving

17. Introduce an integrated governance of location information processes at all levels of government, bringing together different governmental and non-governmental actors around a common goal

18. Partner effectively to ensure the successful development and exploitation of location data infrastructures

19. Invest in communications and skills programmes to ensure sufficient awareness and capabilities to drive through improvements in the use of location information in digital public services and support growth opportunities