E-research is the use of distributed computing resources to provide scientists with access to very large data collections, unique scientific facilities, very large scale computing resources and high-performance analysis, modelling and visualisation. E-research facilitates collaboration and the sharing of knowledge between researchers, particularly across disciplines. The e-Research Group undertakes leading-edge research into information technologies for research data capture, management, and visualisation in order to accelerate and disseminate scientific discoveries. E-research members currently collaborate with a range of specialists, including biologists, materials scientists, environmental scientists, social scientists and humanities researchers, in the development of innovative software services to enable more efficient and more collaborative data sharing and analysis.

We develop novel e-research services and infrastructure, and we investigate the application of linked open data and semantic web technologies to:
-  the integration of distributed databases for scientific discovery,
-  digital preservation services for digital collections,
-  semantic tagging and annotation services,
-  semantic mark-up for multimedia and 3D digital collections, and
-  compound object authoring tools that link distributed resources.

Our research contributes to improving the trust and quality of citizen science, crowd-sourcing data/metadata and capturing the provenance of scientific results.