Information Management

Smart information management is one of the foundations of effective data science. Not only data, but computational methods – models, workflows, scripts, codes – must be treated as first class digital assets, managed alongside and combined with the data they process and produce. The University has
an outstanding track-record in data and methods management, from fundamental research into knowledge representation and reasoning over rich metadata, to computational workflows for information integration – covering the data science lifecycle from capture through processing to publishing and preservation.

Information Management Research Group

Information Management considers the design, development and use of data and knowledge management systems and how complex, large or distributed data can be accessed and visualised, how users interact with the World Wide Web and how the Web, through its design, technology and infrastructure, enables users to interact with it. Security in Network and Distributed Systems using machine processing in order to help us search, organise and understand our data.

Lead Researchers:

Professor Carole Goble

Carole is a Full Professor in the School of Computer Science, she leads a large team of researchers and developers working in e-Science. Her research interests include reproducible research, asset curation and preservation, semantic interoperability, knowledge exchange between scientists and new models of scholarly communication. She applies technical advances in knowledge technologies, distributed computing, workflows and social computing to solve information management problems for Life Scientists, especially Systems Biology, and other scientific disciplines, including Biodiversity, Chemistry, Health informatics and Astronomy. 

She is the Director of the myGrid project, the largest UK e-Science pilot project, which focuses on data intensive e-Science. The group ranges from theory to practice, translating state of the art techniques in semantic web, distributed computing, data management and social computing into software and resources widely used by scientists from many different communities. The project produced the widely-used Taverna, an open source and domain-independent Workflow Management System – a suite of tools used to design and execute scientific workflows and aid in silico experimentation.