The University has separate systems for searching through publications, researchers, grants, clinical trials, patents, policy documents, and so on. Attempting to understand what research capability the university has at any given time was a highly manual and time-consuming process. To more easily connect researchers to research opportunities available within the university and external partners, the university needed a single tool that offered users an aggregated view of research capability at a higher level with easy to interpret visualisations and statistics. The tool also needs to allow users to explore using multi-term querying across keywords, researchers, academic divisions, external partnership, and Field of Research (FoR) Codes.
In a short period of time, Servian developed a solution consisting of a centralised data hub and a feature-rich analytics platform that has been so well received that University of Melbourne introduced it to much greater University audiences beyond the initial target groups. Using a diverse mixture of AWS services such as Elastic Container Service (ECS), Elastic Compute Cloud (EC2), Lambda, SQS and S3, combined with an event-driven processing pipeline, supported the rapid development of a fast and scalable solution.