Welcome to LifeCourse!
The Melbourne Children’s LifeCourse Initiative brings together an impressive array of longitudinal cohort studies from the Melbourne Children’s Campus.
This vital platform equips researchers with the tools, collaborations and access to produce more meaningful and robust research.
Explore the outstanding cohorts and data available through the LifeCourse platform to uncover the potential value-add for your research.
The Melbourne Children’s LifeCourse Initiative
The Melbourne Children’s Campus is a global leader for lifecourse data, creating an unparalleled resource for informing practice and policy. Being one of the few centres worldwide with such extensive population and clinical studies, we are positioned to address an array of questions central to early life health and development, and its progression throughout the lifespan.
LifeCourse includes over 30 distinct clinical and population-based studies spanning conception to adulthood (including two trans-generational studies) and involving over 60,000 participants, with many enriched through collection of biosamples, imaging, and linkage to administrative data.
These studies have already shaped policy and clinical care nationally and internationally. By bringing these resources together our researchers continue to build our understanding of the burden, causes and consequences of childhood diseases in Victoria and globally.
LifeCourse is jointly supported by The Melbourne Children’s Campus partners: The Royal Children’s Hospital, Murdoch Children’s Research Institute (MCRI) and The University of Melbourne (Department of Paediatrics), with funding from the Royal Children’s Hospital Foundation.
Forums and Training
Did you know?
LifeCourse hosts a range of forums that provide space for synergies to thrive across the research community.
LifeCourse is supporting the development of all longitudinal researchers.
LifeCourse run several forums connecting longitudinal researchers with each other and experts in topics relevant to cohorts from across the Campus and beyond.
How do I get involved?
Anyone is welcome to attend the LifeCourse forums. Missed a session or want to be added to our mailing list? Contact the LifeCourse team. Visit the Data Management and Analysis section, for more information about training programs offered through CEBU.
LifeCourse Cohort Researchers Forum
Draws in expertise from presenters across the campus and beyond, focusing on cross-cutting issues relating to cohort research and analysis that transcend specific content areas, such as modern analytic methods relevant to cohort research.
|16/02/2023||Deborah Lawlor||Getting to the heart of life course epidemiology: the cardiometabolic impact of exposures across the life course|
|13/02/2023||Meredith O'Connor||Discovering and accessing LifeCourse data - A treasure trove for understanding health over the life span|
|28/11/2022||Katherine Lange||Polygenic scores - What they are and how they work|
|7/11/2022||Donna Geddes||Human Lactation in the 21st Century - advancing the science to improve mothers and babies health|
|10/10/2022||Kirsten Perrett||VITALITY - a RCT of postnatal vitamin D supplementation and a longitudinal cohort – Update and what’s next|
|1/08/2022||Stephanie Brown, Stuart Kinner and Nicole Donker||Putting the cohorts back into NHMRC’s Clinical Trials and Cohort Studies (CTCS) Grant Scheme – What makes a successful cohort bid?|
|11/07/2022||Stephanie Brown||Mothers’ and Young People’s Study – Study Update and 18-year follow-up|
|20/06/2022||Michael Poidinger||Free and easy – Measures, site licenses, and the REDCap instrument library|
|4/04/2022||Deborah Lawlor||LSAC’s Child Health CheckPoint - Rich and getting richer (Cohort profile)|
|14/02/2022||Ben Edwards and Roy Barnes||Tracking Australia’s COVID-19 Policy Response of different state and territories – Prospects and potential for health cohorts and linkage|
LifeCourse Coordinators Forum
Provides an opportunity for cohort coordinators and managers to meet, connect, and share knowledge about operational and project issues relevant to cohort studies. Sessions are informal and discussion-based.
|6/02/2023||Steven McConchie||What’s this thing called CAB, and, how does it relate to Data Transfer?|
|14/09/2022||Wayne Mather||MCRI IT, an evolution over time – and a guide to Storage, Security, and Sharing|
|31/08/2022||Nitya Phillipson||Introducing the Research Hub!|
|18/05/2022||Will Siero and Sophie Gatenby||Return of Incidental Findings Framework – what is it and how can it support best practice?|
|23/03/2022||Pedro Ramos||Your Biobanking Resources – A Guided Q&A|
|16/02/2022||Meredith O'Connor and Christopher Greenwood||LifeCourse data access portal – an efficient, standardised, and transparent application process to maximise your cohort’s impact|
LifeCourse Data Linkage Interest Group
Aims to connect researchers working on, or planning various aspects of data linkage. Feature presentations are also scheduled to showcase and troubleshoot a wide array of linkage issues in research.
|27/02/2023||Steven McConchie||Connecting data sources in the peak of the COVID response|
|8/02/2023||Astrid Guttman||Enabling Precision Prevention Approaches with Linked Administrative Data: Reflections from Canada on the COVID Pandemic|
|24/10/2022||Margarita Moreno Betancur||Emulating a target trial of intensive nurse home visiting using linked administrative data|
|3/10/2022||Mikhalina Dombrovskaya||PHRN current supports & future directions|
|5/09/2022||Renee Jones||Data linkage experiences from the Childhood Asthma REadmission (CARE) study|
|25/07/2022||Jessika Hu, Jing Wang, and Anna Fedyukova (GenV)||Experiences learnt from piloting linkage to hospital records—GenV Prescription and Special Care Nursery (PP/SCN) team’s work|
|28/03/2022||Kate Lucas||Centre for Health Analytics - A Year On|
|28/02/2022||Karen Villaneuva||Neighbourhood built environments for healthy early childhood development, a spatial data linkage project|
LifeCourse Postdoctoral Fellows and PhD students
In 2019, the LifeCourse PhD and Postdoctoral Support Program was launched to build campus capacity in skills and methodologies relevant to cohort data.
With the support of the Royal Children’s Hospital Foundation, LifeCourse awarded nine part-time postdoctoral fellowships and three PhD scholarship to conduct a diverse range of research projects using LifeCourse data.
The LifeCourse PhD and Postdoctoral Support Program is now completed having delivered increased Campus capability and connections in longitudinal and life course research. Find out more about the impactful research undertaken by our Fellows and students below.
Many PhD students and Postdoctoral Fellows continue to use LifeCourse data to shape their research, supported by a range of other funding streams. LifeCourse continues to support these researchers in the development of their skills in working with longitudinal cohorts via our forums and knowledge hubs.
|Fallon Cook||Infant regulation and child mental health|
|Izabela Fedyszyn||The natural history of self-harm from childhood to adolescence and its predictors|
|Jessica Kerr||The interaction of obesogenic genes and obesogenic neighbourhood environments in predicting childhood obesity and metabolic syndrome|
|Jing Wang||To what extent does genetic and environmental risk influence language outcomes at different levels of hearing?|
|Katherine Lange||"Happy and Healthy” – molecular profiles of mental wellbeing in childhood and early adulthood|
|Laura Conway||Early life adversity and children’s language and learning|
|Melanie Neeland||Early life immune biomarkers of childhood allergy|
|Mihiri Silva||Understanding the origins and impact of dental health: a life course approach|
|Cindy Pham||Prenatal oxidant exposures, oxidative stress and the integration of mitochondriomics in childhood neurodevelopment|
|Heidi Renner||Identifying and reducing inequities in educational pathways through socially inclusive community practices|
|Nur Sabrina Idrose||The effects of pollen exposure on lung function and airway inflammation in children and adults, and potential modifiers of these associations|
Did you know?
LifeCourse cohorts make meaningful impact by informing policy and practice across Australia.
LifeCourse encourages and facilitates collaborations across cohorts and disciplinary boundaries.
Featured LifeCourse Publications
Read the LifeCourse Data Resource Profile
Learn about the features and contributions of the longitudinal cohorts which represent the LifeCourse Initiative.
Approaches for analysing data across cohorts
How can researchers draw multiple cohorts together to better address their research questions?
Using the target trial approach in
The CEBU team extend the target trial approach to the multi-cohort setting.
Psychosocial Impacts of COVID-19
Our research brief provides considerations for policy development to address the psychosocial impacts of COVID-19.
Focus research areas
The LifeCourse platform boasts exceptional data and collaborations across teams and cohorts in three key areas, which are overlayed with an equity and translation lens:
Preventing mental health issues is integral. The breadth of LifeCourse studies at MCRI provides the opportunity to target the pathways that can lead to poor mental health across different ages, backgrounds and situations.
The pathways to developing cardiometabolic health problems begin during pregnancy and early childhood, with childhood obesity being one of the biggest predictors. Supporting healthy habits and lifestyle from a young age, and maintaining this through adolescence provides the foundation for heart health right through the life course.
With more and more Australian children being diagnosed with conditions stemming from alterations in immune function – like allergies, food intolerances and asthma – than ever before, MCRI researchers are on the hunt to uncover the reasons behind this, and to find novel treatments or cures.
COVID-19 Research Response
COVID-19 research emerged as a key area of focus and collaboration for LifeCourse, the Melbourne Children’s Campus and our cohorts in 2020. As part of the Melbourne Children’s response, LifeCourse facilitated the collection of additional COVID-related data from LifeCourse cohorts. These data provide a unique opportunity to understand how pre-pandemic experiences shape risk and resilience for children and young people during the crisis, and in the long-term aftermath.
Key publications using LifeCourse data
We publish many papers every year, drawing on data from our LifeCourse cohorts and covering numerous topics relating to health and development.
Here you will find just a selection of our recent publications, which illustrate the potential of the LifeCourse platform to enable:
- Research using more than one cohort (e.g. harmonising and pooling data from multiple cohorts, or replicating analyses in multiple cohorts)
- Research crossing traditional disciplinary boundaries and spanning multiple focus areas
Understanding the LifeCourse platform
Data Resource Profile
Read more about the features and contributions of the longitudinal cohorts which represent the LifeCourse Initiative in our Data Resource Profile. In this overview of the initiative, we describe how we are striving to improve child health and wellbeing by strengthening cohort infrastructure.
Influences on health and development through the life course
How has COVID-19 impacted children’s mental health?
During the COVID-19 pandemic, the LifeCourse cohorts worked collaboratively to understand impacts of widespread disruptions for the mental health and wellbeing of children, young people, and their families. Our research brief summarises research findings to date, and what these insights suggest for policy and service provision as we navigate the post-COVID recovery period.
How do children’s experiences of adversity ‘get under the skin’?
Researchers used data from the Barwon Infant Study and the Longitudinal Study of Australian Children Child Health CheckPoint to understand how children’s experiences of adversity ‘get under the skin’ to impact health outcomes. By using two cohorts that capture different age ranges, researchers were able to provide evidence of a link between adversity and chronic inflammation in both mid childhood and late childhood. Read more about this study here and relevance for the post-COVID-19 recovery here.
The transmission of mental health problems across generations
Spry et al. (2019) pooled data from two rare 3-Generation preconception cohorts: the Australian Temperament Project, Generation 3 and the Victorian Intergenerational Health Cohort Study. This intergenerational data allowed researchers to explore whether a history of depression before conception is linked to vulnerability to mental health problems in infants. Pooling data from across two cohorts gave researchers a unique opportunity to explore intergenerational outcomes in a sufficiently large sample. Read more here.
Development of mental health strengths
While preventing and intervening on mental disorder is essential, we also need to promote positive aspects of children’s mental health. Data from the Longitudinal Study of Australian Children and Millennium Cohort Study in the UK revealed that, in general, mental health competence steadily increases between childhood and adolescence. However, some children experience other pathways, such as declining competence during this period, and this was more common for boys and children from socially disadvantaged backgrounds. Read more here.
What are the consequences of early disadvantage for children’s development?
Study researchers found consistent evidence that socioeconomic disadvantage experienced in infancy can have a lasting impact on cognitive development, even if circumstances later change. Findings were consistent across the Australian Temperament Project and Longitudinal Study of Australian Children, despite these cohorts being recruited two decades apart. Read more here.
Approaches to working across cohorts
A review of opportunities for analysing data across cohorts
The LifeCourse team have reviewed the many different ways that researchers can work across cohorts to tackle research questions relevant to life course health and development. Drawing multiple cohorts together for analysis can further enhance the contribution of longitudinal cohorts. However, key challenges also need to be recognised and carefully managed.
Using the target trial approach for causal inference in multi-cohort studies
LifeCourse methodology lead and A/Prof Margarita Moreno-Betancur has previously discussed the possibilities for informing potential interventions by using the “target trial” approach in longitudinal cohort studies. The CEBU team, in collaboration with LifeCourse, now extend this approach to the multi-cohort setting. This provides a framework to address challenges specific to the multi-cohort setting such as clear identification of potential sources of bias, both within and between cohorts, which then guides analysis planning and informs the interpretation of findings.
Approaches to comparing disease prevalence and risk factors across cohorts
Comparing the frequency of a disease between different cohorts allows us to observe whether the prevalence of a particular condition is higher in one setting in contrast to another, such as metropolitan versus regional areas. Understanding the sources of these differences is often of central interest. Motivated by data from HealthNuts and the Barwon Infant Study, this paper develops methodology to enable the study of factors contributing to differences in disease prevalence across diverse settings and populations. Read more here.
LifeCourse Data and Access
Did you know?
LifeCourse cohorts hold over 500 million data points (excluding bioanalyses) spanning pre-conception to adulthood.
We provide several avenues for exploring the longitudinal cohorts at the Melbourne Children’s Campus.
Find out what data are available
LifeCourse cohorts are separated into two broad groups:
- Population-based “Population” cohorts
- Condition-specific or case-control “Clinical” cohorts
Explore our Cohorts to gain a bird’s eye view of our studies:
- An interactive timeline shows how long each cohort has been active
- Want to know more about a particular cohort? Delve in deeper to explore each cohort’s design and data collections
- Measures collected are organised into broad domains and aligned to relevant LifeCourse constructs, making it easy to browse and compare data between cohorts
Already know what you are after? Use our Advanced search function to specify the data element/s of interest across features such as what is being assessed, age of the participant, or source of the data.
Our Measurement Library provides another opportunity to explore and identify measures used within each study, as well as areas of measurement consensus and convention across the cohorts.
Our metadata catalogue provides a crucial first step into understanding the available data across studies. Of course, it does not take the place of detailed study documentation, which should always be consulted when undertaking analyses.
Apply for data access
Found what you were looking for? Visit the Data Access page and lodge a request to start exploring a collaborative opportunity.
Specific questions about data or samples (e.g. quality or availability) can also be included in your enquiry, to assist in further refinement of the study design.
Data access requests are reviewed in accordance with each individual cohorts’ governance and ethics protocols, always holding the security of participant data to the highest standards.
Find more information on collating and updating your cohort's metadata by visiting the LifeCourse Cohort Metadata Hub.
Data custodians are also encouraged to explore the LifeCourse Data Access Hub for resources that can help to promote the appropriate reuse of your cohort's valuable data.
Data Management and Analysis
Did you know?
There are a wealth of experts and resources on campus to assist you with every stage of your data analysis journey, from planning to publishing.
The Melbourne Children’s Campus is home to the Clinical Epidemiology and Biostatistics Unit (CEBU), an internationally renowned methodological hub for expertise in data management and analysis, particularly biostatistics and epidemiological methods.
CEBU has partnered with LifeCourse to drive methodological excellence in cohort research across the Melbourne Children’s Campus. Find out more about training, resources, and opportunities to connect here.
Data management FAQs
Are there any guides or protocols I need to follow when developing my data management processes?
CEBU is available to provide information, advice and guidance on managing data (policies, planning, handling data), data management software, database setup, and data capture. Go to CEBU’s data management intranet pages for more information.
Find further information on MCRI’s policies on research conduct and on the management of research data and materials under Ethics and Governance.
LifeCourse have also developed several resources to help cohort researchers plan, design and share their research, including:
- a Data Dictionary Resource to help cohorts design best-practice data dictionaries, and;
- a Data Sharing Guide to help plan for future data sharing.
What does best practice in cohort data management look like?
Security and reproducibility are primary considerations to ensure best practice in data management.
- Security refers to protecting your data against loss and unauthorised access, in particular protecting the privacy and confidentiality of participant data in accordance with legislative requirements and best-practice guidelines
- Reproducibility refers to maintaining data integrity and ensuring that data are handled and processed in a manner that is transparent and repeatable
Make sure to familiarise yourself with the requirements of the NHMRC and other relevant codes, and ensure you are adhering to all institutional policies.
I’m setting up a brand new cohort, what resources are available to support the development of my data management framework?
A consultation with the CEBU team is a great place to start to ensure a rigorous data management plan. Additionally, register for one of their relevant short courses, particularly courses on Stata, R, REDCap (see “Software” below).
The LifeCourse-developed resources, mentioned above, can also provide useful guidance in designing best-practice cohort data dictionaries (Data Dictionary Resource) and planning for future data sharing (Data Sharing Guide).
My cohort was established some years ago, how can I update my data management system to contemporary standards?
First, ensure that you are meeting all of the data security and privacy requirements. Are all your data securely stored in locations with protection from unauthorised access and subject to regular automated backup?
Consider your data handling workflows and update them to ensure that all of your processes are transparent and support reproducibility. You should have an audit trail that enables you to reproduce all of the steps from original source data through to analysis datasets.
Next, work on documenting your project and its processes, as well as the data, to assist existing and future team members to understand the data and its provenance. LifeCourse have developed a Data Dictionary Resource that is a good starting point for LifeCourse cohorts reviewing their data documentation, including suggested metadata fields and why they are useful to collect.
Reviewing your data sharing processes as well? Funders and journals increasingly expect that data will be shared (when appropriate). LifeCourse’s Data Sharing Guide is a good first step when developing or reviewing your team’s data sharing plan, including tips on where to find further information.
To discuss further, contact the CEBU team.
My cohort is ready to be archived, what do I do?
Once your cohort data are coherently organised and thoroughly documented, collate the critical documents that describe the study and its operation (approved protocols, ethics approvals, SOPs, etc.) along with cleaned datasets and corresponding codebooks.
You may wish to maintain the data in a secure but accessible location within MCRI’s network storage, but also consider archiving into figshare (which can be done privately – see “Software” below) or other data repository platforms.
Contact the Archiving Service Desk for more information about the storage of hard copies of critical documents, such as consent forms.
Are there any central locations where I can store large datasets?
If your study has performed a bioanalysis (e.g. an omic analysis like genome wide SNP genotyping) that produces a large dataset, a central, restricted access, storage location can be arranged for your data. Contact MCRI IT for further information.
Data analysis FAQs
How can I obtain statistical input on my cohort analysis?
Getting high-level statistical input on your project from its inception to publication is critical in cohort research. This includes:
- Clarification and refinement of the research question
- Development of the analysis plan, including epidemiological design principles and selection of the most appropriate methods
- Reporting and interpretation of analyses
It is also possible to gain hands-on statistical support to conduct analyses.
Haven’t worked with CEBU yet? Get in contact to organise an initial consultation to discuss your research question and potential requirements.
How can I grow my own statistical understanding in longitudinal analyses?
CEBU regularly runs a sequence of three core research methods short courses focused on basic statistical and epidemiological concepts that are critical to cohort research:
- Designing your research study
- Introduction to Biostatistics
- Observational Studies: Modern Concepts and Analytic Methods
Register for one of these courses or read more here.
For training in more advanced analytic methods, check out course offerings from the Victorian Centre for Biostatistics (ViCBiostat), of which CEBU is the lead partner.
Where do I begin in planning my cohort analysis?
CEBU has developed an analysis plan template for the design of statistical analyses in observational cohort studies, particularly in life course epidemiology.
This is a useful tool in developing a robust analysis plan for your study.
How do I ensure my analysis is fully traceable and reproducible?
Making sure data analyses are reproducible ensures transparency of the research process and enhances confidence in research findings.
CEBU’s short courses on statistical software (in Stata and R) provide a foundation in reproducible analyses, optimisation of analysis workflow via do-file/script management and file management for version control.
What statistical software is supported on campus?
The two main statistical software packages supported by CEBU are Stata and R. These are the main tools for data manipulation and analysis.
- R is a free, open-source software environment
- Stata can be accessed by researchers based on campus through the MCRI’s network licence. Find out how to obtain your copy here
More information about both these packages can be found on the intranet.
CEBU offers a number of short courses on both Stata and R – see here for details.
Also check out CEBU’s Stata Tips page and graphing resources.
What data management software is available on campus?
CEBU supports a number of data management software packages. More information about CEBU’s data management resources and support can be found on the intranet.
- REDCap is a popular data collection and management tool that provides a secure, web-based application for building and managing online surveys and databases. It is the go-to system for data capture. More information about accessing and using REDCap can be found on the intranet. See also CEBU’s short course on REDCap here.
- figshare is an online repository enabling researchers to archive or publish research outputs (e.g. analysis code, protocols, presentations) in a discoverable, shareable and citable manner. MCRI has an installation of figshare, accessible here. For more information about figshare, see the MCRI figshare user guide
Can I just use Microsoft Excel to store my data?
Never use Excel for data collection/storage or for manipulating data. Excel is a poor choice in relation to:
- Data integrity: Data easily moved between records with no audit trail
- Consistency: Data type enforcement and validation checks are difficult to implement
- Security: Weak password security and no permission controls
- Usability: No metadata means no direct export to your statistical package
Did you know?
MCRI has a data linkage interest group on campus, open to all those wanting to explore issues and processes in data linkage.
Linkage to administrative data is increasingly being recognised as a powerful value-add to longitudinal cohort studies.
Where participants have provided consent, linking cohort data to available administrative datasets can enhance the range of information available to researchers.
Data linkage FAQs
How do I get started with data linkage?
There are a number of organisations that provide information on what data linkage is, how it can benefit your research, and how to get started:
- Australian Institute of Health and Welfare (AIHW)
- Population Health Research Network (PHRN)
- Centre for Health Record Linkage (CHeReL)
- Centre for Victorian Data Linkages (CVDL)
With feedback from researchers on campus, LifeCourse have also developed a number of guides outlining requirements and processes for linkage to various administrative datasets. These are frequently updated, so please contact the LifeCourse team for the latest versions.
How can I connect with others’ working in the linkage space?
LifeCourse hosts a Data Linkage Interest Group, where researchers from across the campus meet to connect and discuss various aspects of data linkage. Join us on the fourth Monday of the month, for presentations touching on a wide array of linkage issues and opportunities. Please contact LifeCourse to be added the mailing list.
I am interested in enriching my cohort data through linkage to administrative datasets. What are the ethical considerations?
Linking cohort data to an administrative dataset can add valuable context and meaning to your research. There are a number of ethical guidelines to first take into consideration. To discuss further, please contact the RCH REG team.
What are some of the datasets that other cohorts on campus linking to?
The figure below depicts a number of commonly used administrative datasets which have been successfully linked across LifeCourse cohorts. Click to zoom.
*This diagram is not exhaustive and reflects linkages as of 2017.
Did you know?
Over 65,000 different biosamples have been collected and stored across LifeCourse studies.
MCRI has a number of resources to help cohorts collect, manage, store and analyse biosamples.
Participant consent will determine what biosamples can be collected, how long they can be stored for, and what analyses can be performed. Refer to your approved study protocols and cohort’s participant information and consent forms. For additional assistance, see Ethics and Governance for contacts and resources or contact the Biobanking Team.
My cohort is collecting biosamples for the first time, where do I start?
The Murdoch Children’s Research Institute Biobanking Facility also supports Melbourne Children’s campus research involving biosamples by providing advice and support through study planning, grant application justification and costing, and ethics approval.
The Biobanking Team follows international best practice, in collaboration with the Biospecimens Advisory Committee (BAC), to perform:
- Sample processing
- Sample tracking
- -30°C, -80°C and liquid nitrogen storage
- Sample retrieval
Visit the Biobanking page for more information about the services offered through Biobanking, or contact the team directly at email@example.com. Consult with the Biobanking Team as early as possible for guidance in planning your study, including how to future-proof your collection.
My cohort collected biosamples some years back through a different facility, how do I update our storage and management protocols?
For the storage of biosamples, MCRI provides -80°C freezers as part of its infrastructure. Biobanking administrates the allocation of space to groups, in conjunction with BAC. If you require additional -80°C freezer space, visit the request policy on the intranet. Appropriate sample tracking is a requirement of freezer space allocation.
MCRI uses OpenSpecimen to manage sample tracking on campus. OpenSpecimen replaced the previous system (FreezerPro) in late 2019.
- All information stored in FreezerPro was migrated to OpenSpecimen as part of the changeover
- If samples have been tracked through other mechanisms, contact the Biobanking Team to discuss how you can start using OpenSpecimen
Setup and training sessions with a member of the Biobanking Team is available to support cohorts looking to migrate to OpenSpecimen. Get in touch via firstname.lastname@example.org.
Biosamples in my cohort are now approaching the planned destruction date, what do I do?
Participant consent usually involves a specified length of time that biosamples can be stored for. Refer to your approved study protocols and cohort’s participant information and consent forms. For further guidance, contact the Ethics and Governance team.
Contact email@example.com for further information on destruction procedures.
I’m thinking of performing a large scale bioanalysis in my study, what do I do?
Examples of large scale bioanalyses include genome-wide SNP genotyping, sequencing, expression analysis (e.g. RNA-Seq) or epigenotyping; proteomics; microbiomics; metabolomics; and metagenomics.
If your study has not performed the type of analysis before and are unsure how to proceed, talking to campus experts is a good place to start. MCRI’s Scientific Services or the LifeCourse team can help in connecting.
How do I share my cohort’s biosamples with an external collaborator?
Cohorts should formalise biosample sharing with external academic, commercial or government organisations using a Materials Transfer Agreement (MTA), which can be organised through the Business Development team.
This does not apply to substantive research collaborations (i.e. where the parties have jointly developed the protocol, created new IP together and plan to co-author publications).
Templates and further information can be found on the Legal page on the intranet. Contact Shari Lofthouse and Yuen Chang from the Business Development team, and they will assist you with the appropriate agreements.
Are you curious?
Researchers at MCRI are finding new ways to collect data and disseminate research.
Paper mail-outs to participants are becoming less frequent. MCRI has a number of ways to support your efforts to reach participants in creative ways.
Research design FAQs
I want to develop a new product or tool for cohort data collection. Who can I speak with to help me bring this idea to life?
MCRI has a Digital Health Translation and Implementation Program which aims to develop creative digital solutions, which are informed by evidence-based research and healthcare professionals.
Curve Tomorrow is a health innovation company which has an ongoing partnership with MCRI, and are located on campus. They are responsible for creating unique and innovative software solutions in collaboration with researchers.
How do I disseminate new products or tools for cohort research in meaningful and impactful ways?
The Business Development team can help you on your way. They can provide insight and assistance with your research product, and answer you queries on intellectual property, licensing, engagement with industry partners, business plans and more! Internal researchers can find out more here.
My study is establishing a new research collaboration. Where can I get help with setting up legal agreements?
Whether you’re in need of a Material Transfer Agreement (MTA), confidentiality agreement, research collaborative agreement or a contractor agreement, the Legal team have got you covered. Internal researchers can click here to access a series of helpful templates and policies.
Please contact Shari Lofthouse and Yuen Chang from the Business Development team in the first instance, and they will assist you with the appropriate agreements.
What measures are available for use in my cohort?
MCRI has site-wide licenses for a number of commonly used measures, such as the PedsQL. A number of these have been pre-programmed into REDCap for easy integration into your data collection survey. Find more information here.
For any commonly-used measures not listed, contact Michael Poidinger to discuss.
I want to purchase a measure for use in my cohort study. Are there any guidelines for doing this?
Contact the Legal team to ensure that the measure isn’t already covered by a site-wide license. If you still need to go ahead and purchase a measure, the Legal team will work with you to ensure all requirements are met.
My cohort study is implementing new design approaches. How can we make sure they align to the appropriate codes of conduct?
Issues and policies surrounding research integrity, conflicts of interest and professional conduct are outlined in MCRI’s Code of Conduct.
MCRI adheres to the Australian Code for the Responsible Conduct of Research, as issued by the National Health and Medical Research Council.
Additional policies and frameworks are in place for ethical breaches and queries regarding misconduct. Find out more here, or if you’re looking for specific advice contact the Legal (internal) or Risk (external) teams.
How can I connect with other cohort managers and coordinators?
LifeCourse hosts a Cohort Coordinators Forum, where cohort coordinators and project managers meet to share knowledge and expertise, and troubleshoot specific design issues arising in the cohorts context.
These sessions are held on the third Wednesday of the month.
Contact LifeCourse to be added to the mailing list.
How do I integrate planning for impact into my research design?
The Melbourne Children’s Knowledge Translation and Research Impact Project provides a framework and helpful resources to support researchers in translating their research into meaningful outputs. Click here to learn more and get in touch with the Translation team.
Ethics and Governance
Did you know?
All LifeCourse cohorts are required to maintain the highest standards of ethical conduct.
On-campus resources are available to assist you in navigating ethics and governance approvals for new or existing cohort studies.
Research Ethics and Governance (REG)
Each of the LifeCourse cohorts have obtained ethics approval through a certified Human Research Ethics Committee (HREC).
The Royal Children’s Hospital Research Ethics and Governance (REG), provides a range of templates and guides to support your next ethics application or modification, including advice on informed consent and plain language statements.
The Clinical Research Development Office (CRDO) also provides education and training covering many aspects of the regulatory framework under which research must be conducted.
Ethics and governance FAQs
Do I need ethics approval?
Are you launching a cohort study, planning to collect additional data from your cohort, or acquiring additional data through linkage?
You’ll need ethics approval! Determine which type of application you need to complete here.
But I’m only analysing cohort data, do I really need ethics approval?
Even if not directly collecting your own data, it is more than likely you’ll need ethics approval to work with and publish findings from our LifeCourse cohorts.
If you are not part of the cohort’s study team and are using the data in a way that extends beyond the study’s original aims, you may need to submit a new ethics project covering your analysis of the data.
You can find an example of an ethics protocol covering analysis of existing data here from the LifeCourse-COVID-Wellbeing research program. Depending on the nature of your research, it may qualify as a low or negligible risk application. Be sure to check out the great resources available through RCH Ethics and Governance and CRDO.
Submitting an ethics application for a proposed analysis is usually the responsibility of the data user to progress. Some cohorts require a copy of the approval letter and protocol before transferring data, to ensure that this approval is in place.
I already have ethics approval for my cohort study, but want to collect additional waves of data, or need to add to or change the existing protocol.
With long-running studies, ethics approvals generally need to be amended over time as new waves of data collection are planned. For example, you may need to change your study aims or objectives, or add a new data collection method. Find out how to submit an amendment here.
Sometimes, the extent of a change is significant enough that a new application will need to be considered, even for a long-running study. For example, this might occur if the cohort is being repurposed to address a new research question.
If you are unsure about whether a change requires an amendment or new application, or have any further questions, please contact the RCH REG team.
What does informed consent mean for participants in long-running cohort studies?
Because participants remain engaged with cohort studies over such long periods of time, consent is something that needs to be renegotiated in an ongoing way.
This includes, for example, updating participants about changes to how the data will be collected, stored, and utilised. Find out more about informed consent here, including templates reflecting current best practice.
Can I use social media to trace participants who have been lost to my cohort?
Losing contact with participants over time, such as when families move to a new house or change their phone number, is a major concern for long-running cohort studies.
Social media is emerging as one potentially helpful technology available to assist in contact tracing. Click here for guidelines about ethical use of social media in research. Before using social media for your research, be sure to contact the MCRI or RCH Communications team to access their policies and guidelines on social media use.
I am interested in enriching my cohort data through linkage to administrative datasets. What are the ethical considerations?
Linking cohort data to an administrative dataset can add valuable context and meaning to your research. There are a number of ethical guidelines to first take into consideration. To discuss further, please contact the RCH REG team.
How do I complete and submit my ethics form?
Completing and submitting your ethics application must be done through the Ethics Review Manager (ERM). A user guide can be viewed here.
Is there a deadline for my ethics application?
New ‘greater than low risk’ applications are reviewed on the first Monday of each month. See a list of these dates here.
There are no deadlines for new quality assurance (clinical audits) and low and negligible risk applications, the RCH REG office are happy to receive these at any time.
Did you know?
There may be more funding options available for your project than you’re currently aware of!
MCRI’s Grants Office can assist in finding funding opportunities, providing advice on applications, and ensuring administrative and legal requirements are followed.
Funding opportunities FAQs
Where can I find out about potential funding opportunities?
Use the MCRI Grants Calendar and Research Professional to seek out funding opportunities for your cohort research, and come and visit the MCRI Grants Office. Internal funding opportunities are also available.
Where do I start in preparing my application?
The MCRI Grants Office can assist with reviewing the application and ensuring it complies with the funding opportunity guidelines.
Contact the Grants Office as early as possible to discuss your application and follow the process for application submissions. You will need to provide an Internal Approval form signed by your Theme Director and draft for review.
The Grants Office intranet pages are a great resource for planning and writing grant applications including budgeting templates and descriptions of the MCRI research environment.
How do I consider the potential research impact of my project?
Have you determined what the impacts and outputs of your research will be, beyond publications? Have you considered how you will influence science, policy and practice through your research?
If not, get in touch with the Melbourne Children’s Knowledge Translation and Research Impact Project for guidance in outlining and demonstrating your potential research impact to funders.
My funding application was successful – what do I do now?
Congratulations! Let the Grants Office know when you are successful with a funding application. They will assist you with the formal documentation required for the post-award steps your project.
My funding application was not successful – what do I do now?
Take a day to process the rejection of your application. In this competitive environment, funding bodies receive many, more applications than they can fund. In recent major NHMRC funding rounds, over 80% of applications were deemed fundable, however only 11% were successful.
Carefully read any feedback provided and re-read your application – you may uncover weak spots that were not obvious under the pressure of a grant deadline.
And, try again. Develop your ideas, match your project to other funding opportunities or reapply to the same opportunity in the next round; but always try again. Researchers often find that ‘it never rains, but pours’, where one grant success snowballs into further funding success.
Ready to get in touch with the Grants Office?
The Grants Office can be contacted any time, get in touch to discover what opportunities you might be eligible for!
Did you know?
Globally, research paradigms are shifting to adopt Open Science principles.
LifeCourse is taking steps to support an Open Science culture.
Open Science Practices
Open Science is an exciting new frontier which aims to increase the transparency of research processes to advance scientific discovery. LifeCourse is making efforts to move in this direction, while ensuring that best practice ethical and data security standards are maintained at all times.
Open Science includes a number of key principals which are increasingly being adopted throughout LifeCourse working practices. Keep reading to learn more.
What is pre-registration?
A preregistered design includes details of the research design, research questions, and analytic approach. Preregistering does not prevent researchers from shifting course and adapting to new information. Rather, it is a foundation for recording how and why the plan changed.
The LifeCourse analysis plan template provides a framework for stepping through the aims, key variables, and design of an analysis, before it is undertaken.
What can we gain from open materials?
Open materials is about making publicly available the components of the research methodology, like what data were collected and how, and how that data was analysed. This makes study findings more transparent and reproducible.
Which measures are used by our cohorts and when? Our cohorts have made this information visible and browsable. Visit the Measurement Library, or browse by cohort.
What do we mean by open data?
Balancing the value of transparency with the need to protect participant data is critical to sharing data responsibly.
LifeCourse has a clear and transparent procedure for researchers to apply for access to the data within our cohorts, that also ensures all safeguards for participants are maintained.
How can we achieve open access to research outputs?
Providing free access to papers and other research outputs online removes cost and access barriers. For example, an increasing number of journals allow for the publication of pre-prints.
LifeCourse researchers have access to figshare, an online repository enabling researchers to archive or publish research outputs in a discoverable, shareable and citable manner.
Meet the Team
Did you know?
LifeCourse started in 2013, collaborating across cohort investigators, project managers and data users.
LifeCourse is managed by a group of researchers and professionals based at MCRI.
Professor Craig Olsson, Research Convenor
Craig led the early development of LifeCourse between 2014-2018 before becoming Co-Convenor in 2019. His holds an NHMRC Investigator Grant and leads one of Australia’s longest running studies examining the developmental origins of mental health and disorder; The Australian Temperament Project Generation 3 Study (est.1983). He also leads the Intergenerational Cohort Consortium which brings together multigenerational cohort studies from around the world and is National Convenor of the Australian Research Alliance for Children and Youth (ARACY) Longitudinal Studies Network.
Professor David Burgner, Research Convenor
Dave joined the LifeCourse team as Co-Convenor in 2019. He is a paediatric infectious diseases clinician scientist. He holds an NHMRC Investigator Grant and is one of the lead researchers on the Barwon Infant Study, Child Health Checkpoint and a number of COVID-19 related projects. He co-leads a number of national and international cross-cohort studies. His focus is on the early life determinants of infection, inflammation, their role in the development of conditions like heart disease and obesity.
A/Prof Margarita Moreno-Betancur, Research Convenor (Methodology Lead)
Margarita is co-Director of the Clinical Epidemiology and Biostatistics Unit (CEBU) and has been methodology lead of LifeCourse since January 2019, as part of LifeCourse’s partnership with CEBU. She leads an integrated program of methodological and collaborative research, currently supported by an NHMRC Investigator Grant (2022-26). With the goal of bringing methodological excellence to observational research on campus, she has developed a hub of innovation and expertise in statistical areas that are key for these studies, such as causal inference.
Professor Andrew Sinclair, Infrastructure Convenor
Andrew is Deputy Director of the Murdoch Children's Research Institute and a Professor in the Department of Paediatrics at The University of Melbourne. In these roles and as Executive Director of the Victorian Clinical Genetics Service at the Royal Children's Hospital, Melbourne, he is using genomic information to improve healthcare for children and their families. He also leads MCRI’s efforts to support best-practice data management and governance approaches.
Dr Meredith O'Connor, Program Manager
Meredith is a developmental psychologist who joined LifeCourse in February 2019 as a postdoctoral fellow, before taking on the role of Program Manager in 2020. She leads efforts to build and manage the central infrastructure supporting cohort excellence and facilitating cross-cohort collaborations. She also undertakes original research analysing data from across LifeCourse cohorts, and contributes to the strategy and design of some of Australia’s seminal longitudinal studies, including the Longitudinal Study of Australian Children.
Dr Anna Duncan, Project Coordinator
Anna has been a member of the LifeCourse team since August 2014. Her main focus is to work with LifeCourse cohorts, other Melbourne Children’s Campus groups and the LifeCourse team to coordinate the development and maintenance of the LifeCourse portal, collaborative infrastructure, and resources, in addition to sharing know-how with data users and cohorts.
Tehani Paiva, Project Officer
Tehani joined the LifeCourse team in January 2019 to support key LifeCourse projects. She works with cohort teams to ensure their presence on the LifeCourse website remains relevant and up-to-date. She also works with researchers and project managers to foster collaboration and communication across the LifeCourse cohorts.
Other critical contributors
LifeCourse is a collaboration between the Murdoch Children’s Research Institute (MCRI), the University of Melbourne, and the Royal Children's Hospital, located at MCRI. We acknowledge all collaborators who have contributed to LifeCourse, especially cohort data custodians and their participants, and our LifeCourse Initiative funders, the Royal Children's Hospital Foundation. LifeCourse is a collaborative effort, and we would like to thank everyone for their ongoing engagement and support.
Special thanks to these previous and ongoing contributors to LifeCourse:
Project teamAlana Deery
Advisory group membersAndrew Grimes
Web developmentAdam Leadoux
Vijay Mudapilaval Rajendranath