Design a tiered consent model that lets patients permit or decline specific categories of genomic research use.
Healthcare & Pharmaceutical Management
Genomic Data Governance and Consent Management in Precision Health
Govern genomic datasets responsibly across a precision health programme, from tiered consent design and re-identification risk control through secondary use approval and cross-border data sharing.
🗓️Duration5 training days
📚Content4 modules · 8 sessions
🎓On completionAccredited attendance certificate
About the programme
Course Overview
Genomic datasets carry identifying information that cannot be reset like a password, which means a governance failure has consequences that persist for the patient and their relatives indefinitely. This course prepares data governance leads, genetic counsellors and biobank managers to build consent and access frameworks that hold up under that pressure. Participants design tiered consent models that let a patient permit specific research uses while declining others, and learn how to document and honour consent withdrawal within a dataset already shared with multiple research partners. Sessions on de-identification cover the genuine limits of anonymising genomic data given its inherent uniqueness, and teach re-identification risk assessment techniques used before any external release. The course addresses secondary use approval processes for existing biobank samples, cross-border data sharing agreements under frameworks such as the GDPR's special category rules, and the operational policy for returning incidental findings to patients and, where relevant, their relatives. Case studies drawn from population genomics programmes and clinical sequencing services let participants draft a governance charter, a data access committee terms of reference, and a consent form that a lay reader can genuinely understand.
Expected Learning Outcomes
Document a consent withdrawal process that reaches datasets already shared with external research partners.
Assess re-identification risk in a genomic dataset before approving it for external release.
Draft a secondary use approval process for existing biobank samples and associated clinical data.
Structure a cross-border data sharing agreement that meets special category data protection requirements.
Establish a policy for returning incidental findings to patients and, where appropriate, biological relatives.
Draft a data access committee terms of reference governing researcher requests for genomic data.
Who Should Attend
Genomic data governance leads and biobank managers overseeing sample and data access
Genetic counsellors advising on consent and incidental findings policy
Precision health programme managers designing patient data-sharing frameworks
Data protection officers handling special category genetic and health data
Research ethics committee members reviewing genomic study protocols
Bioinformatics leads responsible for de-identification and access control systems
Course Modules
Select any module to see its sessions and points.
01Foundations of Genomic Data Governance
2 sessions · 8 points
Session 1Consent Models for Genomic Research and Clinical Use
- Compare broad, tiered and dynamic consent models for their fit to different genomic programmes.
- Draft consent language that explains genomic risk concepts in terms a lay participant can understand.
- Design a process for re-consenting participants when a new research use is proposed for existing data.
- Document how consent decisions are recorded and linked reliably to the corresponding sample and dataset.
Session 2Consent Withdrawal and Downstream Data Tracking
- Map the downstream systems and partners a genomic dataset flows to after initial collection.
- Design a withdrawal process that can locate and act on shared copies of a withdrawn participant's data.
- Distinguish what withdrawal can and cannot remove once data has been used in published research.
- Communicate withdrawal limitations honestly to participants at the point of consent.
02Privacy Risk and De-Identification
2 sessions · 8 points
Session 1Re-Identification Risk Assessment Techniques
- Assess the inherent re-identification risk of genomic data compared with other health data types.
- Apply statistical disclosure control techniques appropriate to variant-level genomic datasets.
- Evaluate the added risk created by combining genomic data with demographic or geographic fields.
- Document a risk assessment that justifies a chosen release format to a data access committee.
Session 2Access Control and Secure Data Environments
- Design tiered access levels separating raw sequence data from aggregated or summary statistics.
- Evaluate trusted research environment models that allow analysis without raw data leaving controlled infrastructure.
- Set audit logging requirements that trace every researcher query against a governed genomic dataset.
- Define data retention and destruction schedules aligned with consent terms and legal obligations.
03Secondary Use and Cross-Border Sharing
2 sessions · 8 points
Session 1Secondary Use Approval for Biobank Samples
- Design an application process for researchers requesting secondary use of stored biobank samples.
- Assess a secondary use request against the scope of the original participant consent.
- Balance scientific value against consent limitations when a proposed use falls into a grey area.
- Document committee decisions and conditions attached to an approved secondary use request.
Session 2Cross-Border Data Sharing Agreements
- Identify special category data protections that apply to genetic data under relevant data protection law.
- Draft a data sharing agreement specifying permitted use, security controls and breach notification duties.
- Assess adequacy or safeguard requirements for transferring genomic data to a partner in another jurisdiction.
- Coordinate multi-jurisdiction ethics and regulatory approvals for an international genomic research consortium.
04Incidental Findings and Governance Structures
2 sessions · 8 points
Session 1Incidental Findings Return Policy
- Define which categories of incidental finding a programme commits to returning to participants.
- Design a clinical confirmation and genetic counselling pathway before disclosing an incidental finding.
- Establish a policy on notifying biological relatives of a clinically actionable inherited finding.
- Document participant preferences on incidental findings at the point of initial consent.
Session 2Governance Charters and Data Access Committees
- Draft a governance charter defining roles, accountability and escalation paths for genomic data decisions.
- Establish a data access committee terms of reference covering membership, quorum and conflict of interest.
- Design a reporting structure that keeps institutional leadership informed of governance risk exposure.
- Plan periodic governance review to keep policy aligned with evolving genomic technology and regulation.
What the participant receives
4 course modules
A structured syllabus
8 training sessions
across 5 days
32 detailed points
Applied, detailed content
Accredited attendance certificate
On completing the programme
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