Researchers can track and trace the lineage of their data using Metadata-Hub, ensuring transparency and reproducibility. By integrating Metadata-Hub into their workflows, researchers can associate metadata with their data assets, making it easier to understand the context and history of the data.

Metadata-Hub also allows researchers to document and share metadata with collaborators, promoting effective collaboration. It enables researchers to define and enforce metadata standards, ensuring consistency and interoperability across datasets. By providing a standardized way to describe and organize metadata, Metadata-Hub improves the discoverability and accessibility of data, supporting the FAIR principles.

Metadata-Hub plays a crucial role in improving data provenance by capturing and managing metadata. It enhances transparency, reproducibility, and collaboration, ultimately supporting the FAIR principles and facilitating high-quality research.

How Metadata-Hub maintains data provenance:

1. Comprehensive Metadata Extraction: Metadata-Hub extracts embedded metadata from various data sources, providing essential information about the data’s origin, processing history, and any changes or transformations it has undergone.
2. Centralized Repository: Metadata-Hub offers a centralized hub for storing and managing metadata, making it easily accessible for users to track its lifecycle.
3. Versioning: Metadata-Hub keeps track of different data versions, allowing users to observe how the data has evolved. Each version includes metadata, enabling users to compare and understand differences and their reasons.
4. Audit Trails: Metadata-Hub maintains a detailed audit trail of all data interactions, including access timestamps, users involved, changes made, and the rationale behind those changes.
5. Integration with Other Systems: Metadata-Hub seamlessly integrates with data management systems and tools, ensuring consistent data provenance across multiple platforms and stages of the data lifecycle.
6. Policy-Driven Management: When combined with data orchestrators, Metadata-Hub gives organizations the power to set rules based on metadata. This makes sure that the way data is handled, stored, and transformed is in line with company standards, which further protects the integrity of data provenance.
7. Access Control & Permissions: Metadata-Hub establishes precise access controls and permissions, protecting the data and maintaining accurate data provenance.