Technical standards for good data governance

Data is a key pillar of digital transformation. Reliable and quality data are the basis of everything, from the main strategic decisions to the routine operational process, they are fundamental in the development of data spaces, as well as the basis of disruptive solutions linked to fields such as artificial intelligence or Big Data.

In this sense, the correct management and governance of data has become a strategic activity for all types of organizations, public and private.

Data governance standardization is based on 4 principles:

• Governance
• Management
• Quality
• Security and data privacy

Those organizations that want to implement a solid governance framework based on these pillars have at their disposal a series of technical standards that provide guiding principles to ensure that an organization's data is properly managed and governed, both internally and by external contracts.

With the aim of trying to clarify doubts in this matter, the Spanish Association for Standardization (UNE), has published various support materials.

The first is an article on the different technical standards to consider when developing effective data governance . The rules contained in said article, together with some additional ones, are summarized in the following infographic:

(You can download the accessible version in word here)

In addition, the UNE has also published the report "Standards for the data economy" , which can be downloaded at the end of this article. The report begins with an introduction where the European legislative context that is promoting the Data Economy is deepened and the recognition that it makes of technical standardization as a key tool when it comes to achieving the objectives set. The technical standards included in the previous infographic are analyzed in more detail below.