Dear users, creation of new accounts is temporarily disabled. Please check again later. We apologise for any inconvenience caused.

BRAIF - Your opinion on Data Governance, Quality, Security

Published on: 08/10/2019
Discussion

The Framework on Access to Base Registries (BRAIF) and Interconnections aims to provide guidance to Member States on how to grant access to the data in Base Registries and how to interconnect them.

Data Governance

Its implementation requires primarily the following aspects:

  • organisational structures, roles and responsibilities for the management of data, its access and interconnection;
  • standards, rules and policies to formalise data management across the public administration;
  • processes to monitor and evaluate the adoption effectiveness of the data management practices by the organisation.

Data Gov

Questions:

1. How do you handle data governance in your country?

2. Is it effective, taking into consideration four dimensions of Interoperability Governance i.e. legal, organisational, semantic, technical?

3. How data governance could be done better in your country?

 

 

Data Quality

Accuracy – The degree to which data correctly describes the "real world" object or event is being described

Completeness – the proportion of data stored against the potential for 100%

Timeliness – the degree to which data represents reality from the required point in time

Uniqueness – none data will be recorded more than once

Validity – data is valid if it conforms to the syntax (format, type, range) of its definition

Consistency - the absence of difference, when comparing two or more representations of a thing against a definition                             

Data quality

Questions: 

1. What is a cost of bad data?

 2. What are a data quality issue(s) that you currently face in your base registry?

 3. Do you have a specific role(s) responsible of data quality for your base registry?

 4. What steps are you following to analyse and solve a data quality issue?

 5. What is the communication plan to inform all parties about the resolution of the issue?

Data Security

Data security management is the planning, development and execution of security policies and procedures to provide proper authentication, authorization, access and auditing of data and information assets

Create a trust environment for the organisation by ensuring that data is managed and updated by the right actors at every moment:

Stakeholders Concerns

Government Regulations

Proprietary Business concerns

Legitimate Access needs 

Data Gov

Questions: 

1.Do you encrypt data for your base registry?

2.What are the backup plan and failover capabilities?

3.Do you conduct security testing?

4.How do you monitor your systems and applications to prevent breaches or fraud?

5.Have you identified all regulations and standards that apply to your base registries?

What's your opinion on these topics? Please share your comments with us !

Comments

Fri, 18/10/2019 - 10:29

During ABR webinar in October, Spain has shared the experience on data governance.

In Spain, there is no registry of registries, but there is a platform for interconnection of the registries. The platform is built based on the four dimensions of interoperability governance, namely, legal, organisational, semantic, and technical.

First, the laws established the legal obligation to the public administrations to share the information, in context of Once-Only principle, but focusing on citizens. Then the semantic specification was created, and the platform was built on the national level. There are still autonomous communes that have their own intermediation platforms, but all the platforms are interconnected among them. From organisational point of view, the authority (here – owner of the platform) is a final responsible for the security of personal information of citizens. This authority established bilateral agreements between the public body – the consumer of the data - and the public body – the provider of the data. The agreements are handled by a platform manager, both in terms of technical and organisational intermediation.

Currently, there is an increase in a number of consumers and providers to exchange the information.

Fri, 18/10/2019 - 10:32

During ABR webinar in October, Belgium has shared their experience on data guality.

In Belgium, data quality is considered one of the important topics on data management.

Here are some examples of data quality improvement: https://economie.fgov.be/en/themes/enterprises/crossroads-bank-enterprises/data-quality.