Shortly after voting for the Data Act and the Data Governance regulation as part of the EU Data strategy, the EU parliament voted for the AI Act. GDPR regulating privacy proceeded these acts, already in 2016.
EU AI Act: first regulation on artificial intelligence
Data are the crown jewels of any organisation. And it is the data that needs to be protected against cyber attacks. Starting cyber security begins with identifying what valuable assets to protect. Data Governance describes how these data assets are governed over its entire lifecycle, So, cyber security starts with data governance.
“The term ‘data space’ refers to a type of data relationship between trusted partners who adhere to the same high level standards and guidelines in relation to data storage and sharing within one or many Vertical Ecosystems:”, The term ‘data space’ refers to a type of data relationship between trusted partners who adhere to the same high level standards and guidelines in relation to data storage and sharing within one or many Vertical Ecosystems“,https://gaia-x.eu/what-is-gaia-x/core-elements/data-spaces/
Our recent research has uncovered quite some gaps in existing data governance research. the focus of data governance hasy been on internal data management issues so far. But external data exchange and the more human aspects are uncovered areas. similar to IT governance 10 years ago, we are uncovering these areas now.
Our research results can be found on researchgate, here the link:
“More data should be available for the common good, for example for improving mobility, delivering personalized medicine, reducing energy consumption and making our society greener.”
The model might seem familiair, but is the first grounded meta model to picture relevant organisational aspects, bringing together existing reference models from literature: McKinsey 7S Model, ScottMorton’s MIT90s model, Schein’s Culture & Leadership theory, the IS alignment model of Henderson&Venkatraman and the 9-squares model of prof Maes. The model is not just glued together. Instead, the GCR model is designed using metaplan technique. We categorised capabilities found in maturity models on organisational readiness in scientific IS literature and constructed this new GCR-model. Next we referenced existing reference models in literature and we found quite some interesting matches.
This GCR model may be used to (re) design maturity models in Information Systems research or beyond.