Learn about GenV: your opportunity to create a healthier future GenV is a research project built by Victorian families for all families. If you join, you will contribute to healthier children, parents, and families in the future.
Improving care and development through world-class research GenV will work in partnership with Victoria’s health organisations to collect data that will enhance researchers' capacity to understand patient outcomes.
Comprehensive research for precision policy and service delivery GenV aims to transform how we conduct research into health and wellbeing, establishing the foundations for new approaches to data-led policy and strategy development, and the strengthening of service delivery.
Our achievements, partners and key people Learn more about GenV’s collaborative partnerships with leading universities, institutes, and service providers, and meet the people who help to bring our exciting vision to life.
Home\For researchers\Enquire about collaborating with GenV\Benefits of Open Science and two-way data sharing Back Benefits of Open Science and two-way data sharing Benefits of Open Science and two-way data sharing GenV prioritises collaborations committed to Open Science (also called Open Research). This means GenV aims to make data accessible to all researchers. Some collaborators generate new data and, once merged with GenV, may request a 9-month period for their own analyses. Then the new data are made available for all other researchers to use. We believe that Open Science benefits everyone – including families, the community, funders and researchers. Benefits for studies who collaborate with GenV: Faster and/or whole-of-state recruitment Access to GenV’s data for: Pre-existing confounders and effect modifiers Long-term outcomes Broader outcomes than could be collected by a single study Modeling trial outcomes to the Victorian population Linkage with external data within GenV or a custodian-approved environment, that would otherwise be inaccessible Increased value of GenV to the field of study More complete representation of specific conditions or characteristics Richer data relevant to the field of study “Future proofing” as funders and journal editors worldwide move to requiring Open Science approaches