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Data Management Platform

Overview

The ALTERNATIVE platform is designed to facilitate easy creation, sharing, and management of various types of data, catering to both internal teams and external audiences. It offers a user-friendly web interface that streamlines the process of data publication and discovery.

Key Objectives

  • Efficient Data Sharing: Enable seamless data exchange between consortium partners throughout the project's duration.
  • Flexible Access Control: Implement granular permissions for viewing, editing, and managing datasets.
  • Metadata Management: Provide comprehensive metadata functionality, including custom fields for scientific experiments.
  • Integration with Development Environment: Seamless connection with JupyterHub for data analysis and model development.
  • Secure Authentication: Utilize Keycloak for robust identity and access management.
  • Extensibility: Utilize the platform's modular extension mechanism to customize functionality in alignment with ALTERNATIVE's specific requirements.

Features

  • Organization-based Data Management: Each consortium partner is represented as an organization with unique workflows and authorization mechanisms.
  • Rich Dataset Functionality: Support for various resource types, including CSV, Excel, XML, PDF, and image files.
  • Advanced Metadata: Custom metadata fields for scientific experiments, enhancing data discoverability and understanding.
  • Secure Collaboration: Granular access controls and dataset collaborator roles (Member, Editor, Admin).
  • API Access: Comprehensive API for programmatic interaction with datasets and resources.
  • Cloud Storage Integration: Utilization of S3 storage for efficient management of large datasets.
  • Single Sign-On (SSO): Seamless authentication between Data Management and JupyterHub environments.