EIF Perspective attributes of Big Data Test Infrastructure (BDTI)

General information

Name of the solution: Big Data Test Infrastructure (BDTI)

Solution's owner: European Commission - DIGIT

Description:

The BDTI is a ready-to-use, free of charge, analytics cloud stack for the public sector offered to all European public administrations to experiment with open-source tools and foster the re-use of public sector data for a data-informed public sector.
Type of solution: Common services
Go to Solution

The Big Data Test Infrastructure (BDTI) implements the following:

Principles

Interoperability layers

Conceptual model

Big Data Test Infrastructure (BDTI) implements the following EIF recommendations as explained below:

  • Recommendation 6 | Reusability

    The Big Data Test Infrastructure offers support and guidance on how Member States can use their big data to deliver better public services. Hence, by re-using this building block and running pilots and proofs of concept, Member States cooperate in development of new solutions. 

  • Recommendation 4 | Openness

    The CEF Big Data Test Infrastructure is based on open specifications and open standards.

  • Recommendation 7 | Reusability

    The Big Data Test Infrastructure enables the sharing and reuse of public administration data by allowing them to harness it for new big data driven solutions. 

  • Recommendation 8 | Technological neutrality and data portability

    As the CEF BDTI provides a list of tools that the Member States can select for their pilots, the building block does not impose any technological solutions.

  • Recommendation 9 | Technological neutrality and data portability

    CEF Big Data Test Infrastructure allows public administrations to structure their data in ways that can be reused for other purposes and analysis. 

  • Recommendation 11 | User centricity

    Member States in need can rely on the single point of contact at CEF digital for support on the implementation of their Big Data Test Infrastructure. 

  • Recommendation 15 | Security and privacy

    By using CEF's big data testing environment, Member States can ensure that their treat their big data in a secure and appropriate way. 

  • Recommendation 21 | Interoperability governance

    Thanks to the experimentation platform and a repository of tools supporting Big Data pilots, BDTI helps bid data pilot implementers to verify the interoperability readiness of their solutions by performing tests. 

  • Recommendation 22 | Interoperability governance

    Thanks to repository of tools available on the BDTI, project owners are encouraged to select and implement solutions that are interoperable and in line with European standards. 

  • Recommendation 28 | Organisational interoperability

    One of the key steps of setting up the Big Data Test Infrastructure is the documentation of core business processes associated with the data and the purpose for which it will be used. 

  • Recommendation 30 | Semantic interoperability

    The Big Data Test infrastructure departs from the assumption that public data is an open data and identifies ways in which public administrations can reuse this data to deliver better public services. 

  • Recommendation 32 | Semantic interoperability

    The CEF Big Data Test Infrastructure encourages community driven development and updates of standards, hence involving a wide range of stakeholders in its maintenance and development. 

  • Recommendation 33 | Technical interoperability

    The CEF Big Data Test Infrastructure is based on open specifications and standards. 

  • Recommendation 35 | Model

    CEF offers public administrations support in coupling their components and identifying the most appropriate approach in establishing the Big Data Test Infrastructure.