Informed participation
Clear, tiered choices for study participation, biospecimen use, genomic analysis and future research.
Governance and ethics
Trust is part of the research design.
Participant protection, institutional accountability and responsible scientific access are built into Nexus programmes from the beginning, not added after data collection.
01 · GOVERNANCE PRINCIPLES
Clear safeguards across the research lifecycle.
Specific approvals and procedures vary by programme, but the underlying responsibilities remain consistent.
Protected participant data
De-identification, secure systems and no open release of participant-level clinical or genomic data.
Institutional governance
Ethics and institutional review within participating countries before recruitment or identifiable-data use.
Controlled scientific use
Data and sample requests are reviewed against consent, scientific value and governance requirements.
Research integrity
Funders and supporters do not control study design, analysis, interpretation or publication.
Long-term local value
Infrastructure, skills, leadership and scientific opportunity remain within participating institutions.
02 · RESPONSIBLE DATA FLOW
From consent to controlled scientific value.
Every transfer or secondary use must remain aligned with participant permission, institutional review and the approved scientific purpose.
01ConsentParticipant choices
02CollectApproved protocol
03ProtectDe-identification
04ReviewControlled access
05UseApproved science
03 · PARTNERSHIP INDEPENDENCE
Support should expand capability, not control the science.
Nexus welcomes institutional, industry, technology and funding partnerships that add scientific or operational value.
Roles, contributions, access and recognition are defined transparently. Scientific direction, analysis, interpretation and publication remain governed by the research team and relevant institutions.
Discuss an aligned partnershipPARTICIPANT-CENTRED
Good governance makes ambitious science possible.
Programme-specific governance materials are developed with participating institutions before recruitment and data use.
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