Sharing

Open Research Data

Open Research Data Support for FBM UNIL-CHUV Researchers

The DSBU offers tailored support for researchers depositing data into generalist and specialized repositories:

Generalist Repositories

  • Options: Zenodo (FBM/CHUV community) or Dryad
  • Support Provided:
    • Guidance on FAIR data sharing.
    • Assistance with metadata standards, readme files, and file formats for long-term storage.
    • Advice on data reuse, copyright, and licensing.
  • Additional Services: Regular training sessions on data management and sharing. Check the DSBU calendar for upcoming events link

Specialized Repositories

  • Scope: Designed for specific or disciplinary data types, such as:
    • Genomic data.
    • RNA sequencing.
    • Electron microscopy.
    • FACS data
    • Light microscopy.
  • Support Provided:
    • Assistance in selecting the most appropriate domain-specific repository.
    • Help in describing datasets accurately and ensuring metadata compliance with FAIR principles.
    • Guidance throughout the deposition process.

FAIR Data Sharing for CHUV sensitive Data

Managing sensitive biomedical data requires strict adherence to privacy and confidentiality standards. Open access to such data is contingent upon explicit consent and the anonymization of personal information.

For sensitive datasets that cannot be anonymized, researchers should utilize the HORUS CHUV Dataset Catalog, developed and managed by the CHUV IT Department (DSI-CHUV). Key features of this catalog include:

  • Metadata Highlighting: Provides detailed metadata descriptions of sensitive clinical datasets generated at CHUV.
  • Controlled Access: Ensures secure access to sensitive datasets in compliance with legal restrictions.
  • FAIR Metadata Transmission: Enables interoperability between the CHUV catalog and Zenodo, automatically transmitting FAIR metadata for public visibility in the FBM-Zenodo community.

DSBU Support for HORUS CHUV Catalog

The DSBU offers end-to-end assistance with depositing sensitive data via the HORUS CHUV catalog:

  1. Dataset Upload: Guidance on the initial upload process.
  2. Metadata Completion: Support in creating accurate and FAIR-compliant metadata.
  3. Metadata Review: A DSBU data steward reviews and verifies metadata for accuracy and proper documentation.
  4. Approval and Submission: After verification, the dataset is approved for final submission, ensuring compliance and enhancing visibility.

This structured process ensures sensitive data is securely shared while maximizing its accessibility and alignment with FAIR principles.

Please note that anonymization services are not provided by our unit; researchers should consult the Data Science Center (BDSC) for assistance with anonymization.