Challenges and barriers to data sharing in the public sector

The objective is to project on a larger scale the current methodologies, specifications and practices related to information processing, to achieve a fluid and continuous data exchange between administrations, industrial sectors and citizens, which generates advantages and opportunities for the different actors involved, and always bearing in mind the necessary privacy and security considerations. This strengthening of administrative collaboration is materialized in the different public sector data spaces, enhancing the value of data in the development of citizen-centric public programs, policies and services, reducing the bureaucratic burden of administrative processes borne by economic operators and citizens.

What are the main barriers to data sharing? Do we put up the barriers ourselves?how to overcome them?

In the design of public policies … What would it take to cross-reference protected data sets from different agencies?

Is it possible to have a large catalog of datasets from which to take what is needed, how to compile it, with what content, what data could be moved to a central warehouse and what data would reside at its source?

Is all transactional data that can be served through the PID already served?

What is the future of the semantic interoperability center, and why has the initiative not taken off?

How can the quality of the exchanged data be guaranteed?

Do you have in mind the development of (or have you developed) analytics projects by crossing information from different agencies – have the results gained traction for new projects?

Is there a real management awareness of the importance of the data journey or is it an ICT issue? Does the business know the potential of its data or of the external data it could obtain?