# data[].attributes.headline
Leverage existing co-ordination mechanisms for further co-operation across the public sector and private sector on data.

# data[].attributes.subject
Leverage existing co-ordination mechanisms for further co-operation across the public sector and private sector on data.

# data[].attributes.headline
There is a need to ease the sharing of data

# data[].attributes.subject
There is a need to ease the sharing of data

# data[].attributes.headline
We generate/host a lot of data but it is unclear who is ultimately responsible for the quality

# data[].attributes.subject
We generate/host a lot of data but it is unclear who is ultimately responsible for the quality

# data[].attributes.headline
There is no homogeneous approach to sharing data

# data[].attributes.subject
There is no homogeneous approach to sharing data

# data[].attributes.headline
there might be a common strategy, but it is not very clear that it's the case

# data[].attributes.subject
there might be a common strategy, but it is not very clear that it's the case

# data[].attributes.headline
IT systems are built in a silo mode without the option of sharing date across systems

# data[].attributes.subject
IT systems are built in a silo mode without the option of sharing date across systems

# data[].attributes.headline
Lack of co-ordination and training to push data interoperability.

# data[].attributes.subject
Lack of co-ordination and training to push data interoperability.

# data[].attributes.headline
Unclear which entity is implementing existing plans for data interoperability, and how this will be done.

# data[].attributes.subject
Unclear which entity is implementing existing plans for data interoperability, and how this will be done.

# data[].attributes.headline
We should have working groups in order to work on common standards

# data[].attributes.subject
We should have working groups in order to work on common standards

# data[].attributes.headline
Regulatory challenges to share data effectively

# data[].attributes.subject
Regulatory challenges to share data effectively

# data[].attributes.headline
There is no defined data architecture for the public sector - this is often defined during individual projects with the supplier of the solution.

# data[].attributes.subject
There is no defined data architecture for the public sector - this is often defined during individual projects with the supplier of the solution.

# data[].attributes.headline
There is no data catalog available to know where data is located across the public sector.

# data[].attributes.subject
There is no data catalog available to know where data is located across the public sector.

# data[].attributes.headline
Traceability of data quality management rules.

# data[].attributes.subject
Traceability of data quality management rules.

# data[].attributes.headline
Data cleansing rules are often in peoples' heads.

# data[].attributes.subject
Data cleansing rules are often in peoples' heads.

# data[].attributes.headline
There is no centralised approach to data pseudonymisation and anonymisation.

# data[].attributes.subject
There is no centralised approach to data pseudonymisation and anonymisation.

# data[].attributes.headline
Possibility of de-pseudonymisation has to be taken in account and protected.

# data[].attributes.subject
Possibility of de-pseudonymisation has to be taken in account and protected.

# data[].attributes.headline
Better awareness about the specifics of GDPR and what it means for employees. Things that might seem normal to be done are sometimes not legal according to GDPR.

# data[].attributes.subject
Better awareness about the specifics of GDPR and what it means for employees. Things that might seem normal to be done are sometimes not legal according to GDPR.

# data[].attributes.headline
GDPR is challenging and often poses questions when looking into data

# data[].attributes.subject
GDPR is challenging and often poses questions when looking into data

# data[].attributes.headline
The danger is not always outside of our administrations but also inside. And sometimes not on purpose.--> better awareness about the risks is needed

# data[].attributes.subject
The danger is not always outside of our administrations but also inside. And sometimes not on purpose.--> better awareness about the risks is needed

# data[].attributes.headline
Fragmented ideas, lack of clear communication

# data[].attributes.subject
Fragmented ideas, lack of clear communication

# data[].attributes.headline
having governance is good. But often the coordinating body becomes a barrier, slowing down progress. 

# data[].attributes.subject
having governance is good. But often the coordinating body becomes a barrier, slowing down progress. 

# data[].attributes.headline
licensing issues: each ministry is responsible for securing licenses (inefficient use of resources)

# data[].attributes.subject
licensing issues: each ministry is responsible for securing licenses (inefficient use of resources)

# data[].attributes.headline
regulations often create time constraints 

# data[].attributes.subject
regulations often create time constraints 

# data[].attributes.headline
Fragmented data quality check (lack of centralised approach/guidelines), limited access to authentic sources 

# data[].attributes.subject
Fragmented data quality check (lack of centralised approach/guidelines), limited access to authentic sources 

# data[].attributes.headline
We do not have common semantics for data sharing

# data[].attributes.subject
We do not have common semantics for data sharing

# data[].attributes.headline
Lack of talent, lack of centralised strategy on digital talent and skills.

# data[].attributes.subject
Lack of talent, lack of centralised strategy on digital talent and skills.

# data[].attributes.body
pool of data specialists at the government level

# data[].attributes.headline
Lack of data stewards in public sector organisations to ensure data quality.

# data[].attributes.subject
Lack of data stewards in public sector organisations to ensure data quality.

# data[].attributes.headline
Lack of guidance and clear leadership on data ethics.

# data[].attributes.subject
Lack of guidance and clear leadership on data ethics.

# data[].attributes.headline
uncertainty of policy direction and time consuming  authorization process

# data[].attributes.subject
uncertainty of policy direction and time consuming  authorization process

# data[].attributes.headline
constant effort is needed to ensure data ethics

# data[].attributes.subject
constant effort is needed to ensure data ethics

# data[].attributes.headline
continued communication with the citizens is needed. 

# data[].attributes.subject
continued communication with the citizens is needed. 

# data[].attributes.headline
(Pillar 1) There is no clear vision for data in the public sector and a lack of clear understanding about the its implication across the public sector.

# data[].attributes.subject
(Pillar 1) There is no clear vision for data in the public sector and a lack of clear understanding about the its implication across the public sector.

# data[].attributes.headline
(Pillar 1) There is a lack of data management skills for the whole data lifecycle across various ministries/administrations.

# data[].attributes.subject
(Pillar 1) There is a lack of data management skills for the whole data lifecycle across various ministries/administrations.

# data[].attributes.headline
(Pillar 1) There are limited opportunities for peer learning and sharing of best practices on data-related issues.

# data[].attributes.subject
(Pillar 1) There are limited opportunities for peer learning and sharing of best practices on data-related issues.

# data[].attributes.headline
(Pillar 1) There is a limited organisational culture for data sharing within the public sector.

# data[].attributes.subject
(Pillar 1) There is a limited organisational culture for data sharing within the public sector.

# data[].attributes.headline
(Pillar 2) The current legal and regulatory framework does not support data exchange and sharing within the public sector.

# data[].attributes.subject
(Pillar 2) The current legal and regulatory framework does not support data exchange and sharing within the public sector.

# data[].attributes.headline
(Pillar 2) There is insufficient effective leadership and co-ordination to promote data interoperability in the public sector.

# data[].attributes.subject
(Pillar 2) There is insufficient effective leadership and co-ordination to promote data interoperability in the public sector.

# data[].attributes.headline
(Pillar 2) There is a variable level of awareness of existing data sharing platforms and tools across ministries/administrations.

# data[].attributes.subject
(Pillar 2) There is a variable level of awareness of existing data sharing platforms and tools across ministries/administrations.

# data[].attributes.headline
(Pillar 2) There is a lack of common data standards and guidelines to support data interoperability across the public sector. 

# data[].attributes.subject
(Pillar 2) There is a lack of common data standards and guidelines to support data interoperability across the public sector. 

# data[].attributes.headline
(Pillar 3) There is a general view among ministries/administrations that GDPR inhibits data sharing and use. 

# data[].attributes.subject
(Pillar 3) There is a general view among ministries/administrations that GDPR inhibits data sharing and use. 

# data[].attributes.headline
(Pillar 3) There is a limited consistency in data management across ministries/administrations which impacts data quality. 

# data[].attributes.subject
(Pillar 3) There is a limited consistency in data management across ministries/administrations which impacts data quality. 

# data[].attributes.headline
(Pillar 3) There is a low level of awareness and understanding of data ethics beyond GDPR among ministries/administrations. 

# data[].attributes.subject
(Pillar 3) There is a low level of awareness and understanding of data ethics beyond GDPR among ministries/administrations. 

# data[].attributes.headline
(Pillar 3) There is no common approach to managing data and trust.

# data[].attributes.subject
(Pillar 3) There is no common approach to managing data and trust.