Concept & Methodology

Overall Concept

DataBri-X aims to develop a user-friendly toolbox that enables the creation and integration of data spaces for data-driven applications. This toolbox enhances data and metadata interoperability, usability, quality, and integrity while ensuring compliance with accountability, fairness, privacy, and confidentiality regulations, as well as adhering to FAIR (Findability, Accessibility, Interoperability, and Reuse) principles.

The European Data Economy relies on the availability of trustworthy data for innovation, particularly in AI that reflects European values.

To overcome the current challenges in data sharing and interoperability, DataBri-X focuses on:

Methodology

DataBri-X is committed to an agile and iterative development methodology. This approach allows the project to respond to changing user needs and evolving technological landscapes. It involves three distinct cycles before the final release of the DataBri-X toolbox. Each cycle incorporates:

  • Refinement of use cases: This continuous refinement is based on insights gained from field trials, ensuring that the toolbox effectively addresses real-world challenges.
  • Feedback loops: These loops integrate feedback from stakeholders and partners, enhancing the toolbox’s functionality and usability.
  • Adjustments and improvements: Each cycle incorporates adjustments based on feedback and evaluation, driving continuous improvement and ensuring that the project stays aligned with its objectives.

Key aspects of the DataBri-X methodology

  1. Agile development cycles: The project follows three distinct phases of development:

○ Phase 1: Kick-off and initial development (Months 1-12)

○ Phase 2: Refinement and integration (Months 13-22)

○ Phase 3: Launch and finalisation (Months 23-36)

  1. Data governance with JenPlane

JenPlane serves as the core data governance process for DataBri-X. Its ontology-driven approach defines governing rules and creates profiles for different project types. This ensures compliance with data usage policies and regulations. DataBri-X tools are integrated with JenPlane through metadata specifications that facilitate automated tool selection and orchestration.

  1. Layered architecture: The DataBri-X toolbox is built on a layered architecture, supporting the integration and deployment of tools:
  • Policy Center: This layer houses policies, terms, and conditions for data management, guiding process designers in project customisation.
  • Deployment and Orchestration Layer: This layer enables the automated packaging of tools into workflows, ensuring interoperability and tracking provenance for transparency.
  • Execution and Monitoring Layer: This layer manages the execution of tools within designated environments, including data spaces. It automatically logs lineage and provenance data and offers real-time process monitoring.
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