Baseline Researcher Access to Public Sector Data
Exploreabout Baseline Researcher Access to Public Sector Data
Mice and humans share a similar set of genes and, as a result, their biology has played a critical role in medical advancements for conditions such as obesity, diabetes, immune defects, blood cancers such as leukaemia and many more. If we are to develop a deeper understanding of the genomic determinants of human health and disease, more efficient links between human and experimental datasets are required.
The Biomedical Data Asset links two of Australia’s most important biomedical datasets – ASPREE and Missense Mutation Library – in a highly curated, user-friendly and accessible environment for genomic medicine.
Use cases for the data asset include:
The project involves four elements.
Data implementation plan – A data implementation plan will be developed and socialised with identified beneficiaries and end user groups to ensure the plan meets the needs of the stakeholder community.
Data wrangling – An enhanced, highly curated subset of both the ASPREE and Missense datasets enabling clear linkages and interoperability across the data. Curation and processing/analytical workflows will be made available through open source code repositories such as GitHub ensuring the data asset meets the Interoperability and Reusability principles of FAIR.
Data harmonisation and creation of gene/variant mapping – Develop an enhanced data mapping function that allows end users to specify a gene variant and pull down the relevant data from both the ASPREE and Missense collections into one data resource ready for use in analytical workflows. Harmonisation workflows will be made available through open source code repositories such as GitHub ensuring the data asset meets the Interoperability and Reusability principles of FAIR.
Data asset interface – The final enhanced data asset will be available to the research community through an easy-to-use data portal ensuring the data asset meets the Findable and Accessible principles of FAIR.
Researchers, research organisations, infrastructure providers, government agencies (state and commonwealth), data analysts and managers, clinicians and health practitioners will benefit from the project’s core features:
Our partners are:
This project will result in the linkage of two of Australia’s most important biomedical datasets, in a highly curated, user-friendly and accessible environment. The new data asset will improve researchers’ ability to discover and experimentally validate gene function to improve disease diagnosis and treatment, especially in clinical human studies where state-of -the-art genomic technologies have been used to identify genetic variation related to health and disease.
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