Access Control

Description

The access control module is responsible for user and access management. It is designed to ensure role-based access control (RBAC).

Access Control within DATAMITE architecture

Access Control workflow

Prerequisites

• Docker
• Docker Compose

Installation

1. Clone the repository:

   git clone https://gitlab.eclipse.org/eclipse-research-labs/datamite-project/data-security/access-control.git

2. Navigate to the access-control folder:

   cd access-control

3. Start the services using Docker Compose:

   docker-compose up -d

4. The access control service will run on port 9090

Database

PostgreSQL

Developers

Access Control Postman Collection

Supported Roles - To be implemented for role based access control

1. Data Owner (Business User):

   • The individual responsible for datasets provided, authorizing which datasets will be shared, to whom, and for how long.

2. Data Consumer (Business User):

   • The user who will have access to data for business-related tasks and decision-making processes.

3. Data Provider:

   • Responsible for preparing, making available, integrating, and providing needed datasets/information to data consumers based on the directions of data owners.
   • Technical role that implements data owner directions.

4. System Administrator:

   • Responsible for the operation, management, and maintenance of the installed DATAMITE instance.

5. Security/Privacy Responsible:

   • Responsible for setting privacy and security policies.
   • Guides/consults users concerning related topics and oversees their policy implementation.

6. Data Governance Responsible:

   • Develops, consults, monitors, and enforces data governance policies and practices, including Data Quality.

Roadmap and Functionalities:

• M13-M14: Requirements Analysis and Design
• M15: Keycloak Configuration
• M16-M18: User Authentication & Identity and Access Management
• M18-M20: Modify Keycloak Theme based on DATAMITE's UI