GATE is the Bulgarian IDSA Hub Facilitator and the catalyst of national endeavour towards Data usage and Data sharing in both industrial and public domains. It aims to be a driver for community engagement of businesses and public and city administrations and an enabler for incubation and acceleration of innovations based on data sharing and utilization at the national and regional level.

GATE provides business expertise related to the elaboration of new data sharing driven use cases and business models. It also facilitates the establishment of a national and regional self-sustainable ecosystem through supporting both supply and demand-side e.g., the data sharing and the value-adding utilization of data in various industrial, city-related and public data use cases.

The hub also facilitates IDS technologies adoption acceleration through providing technical expertise related to IDSA architecture and components application and implementation for the realization of industrial and public data spaces. By adhering to IDSA reference architecture and implementing the respective components, the spaces will be realized as safe environments, guaranteeing availability, integrity and sovereignty of data sources, and providing advanced security mechanisms that are important for the industry, and other data asset providers, thus promoting trust in sharing data.

Industrial Data Space

GATE enables the development of industrial data space that will provide enterprises with easy access to high-quality pre-processed and selected data assets, based on aggregated structured, semi-structured or unstructured data combined from heterogeneous industrial, private and open data sources. Enterprises will acquire knowledge for data management and usage in certain application domains, as well as across different domains based on the reuse of intelligent data models. In this respect, the key point is the sharing and aggregation of data, including public and private data.

City Data Space

The aim is to realize a data space allowing for the collection, processing, aggregation and sharing of data for the city and the region, based on the understanding that data is also key to informed decision-making,  a valuable resource for innovation and development and a prerequisite for building smart urban and regional decisions. Public and private data, as well as citizens data on key activities such as urban and air cleanliness, mobility, construction, energy efficiency, etc., will be integrated, which is crucial not only to ensure better use of resources and fewer emissions but also to provide for sustainability through construction optimization, smarter urban transport, modernized water and waste treatment facilities and more efficient ways to use energy in buildings.

Public Data Space

In its endeavour to create a Data Space of public data, GATE is collaborating with the State e-Government Agency (SEGA) that is managing the national open data portal. The aim is to enable standardized sharing of data, through the development and integration of data management rules and policies, together with advanced data management and sovereignty mechanisms, providing different levels of access according to the data ownership.  The data integrated into a national/regional data space will enable the creation of an ecosystem for data sharing, to support and benefit businesses, administration and society.

As IDSA Hub, GATE is also providing targeted training on data sharing principles and business models:

Data sharing driven business models

Data-driven business models training aims to demonstrate how to create value by combining internal and external data, to explain how existing business models can be advanced through data sharing and also to introduce new ones that provide for effective data exploitation and product portfolios diversification, and to show how to develop new applications and businesses, facilitated by data usage and sharing technologies.

Enabling data sharing principles training

The training is built around the concept that data is seen as a valuable asset that needs to be effectively managed. This management should be compliant with standards such as IDS and GAIA-X and support standards-based governance and policies to allow for interoperability with various platforms and Data Spaces. Furthermore, such governance should provide for decentralized data sharing and processing, as defined by the AI-Data-Robotics-Partnership SRIDA and also enable trust in AI and its results that is a key element for enabling Data Spaces.

The training presents the main principles enabling free movement of data such as Findability, Accessibility, Interoperability and Reuse, explains the standards-based data governance and policies for effective data sharing, and demonstrated the importance of enabled by design data sovereignty, trust and privacy within data sharing ecosystems.

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