JISC programmes help to develop and investigate the application of data and text mining techniques with the aim of advising and supporting researchers how best to turn the vast volume of data into useful research outputs.

Data & Text Mining

Modern research is generating more and more data, for example, from scientific instruments, computer simulations, sensor networks, surveys and scholarly publishing. Data and text mining apply advanced computer analysis to uncover patterns and trends within these data, which researchers can then interpret to form new insights. JISC programmes help to develop and investigate the application of data and text mining techniques with the aim of advising and supporting researchers how best to turn the vast volume of data into useful research outputs.

Key data & text mining activities

9 Programmes
  • Repositories and Preservation Programme The programme is a £14m investment in Higher Education repository and digital content infrastructure. It will fund initiatives to develop the Information Environment supporting digital repositories...

  • Users & Innovation: Personalising Technologies Based on the needs of real end-users, the programme will identify areas where innovative user technologies and practices can increase efficiency.

  • Institutional Innovation Programme The Institutional Innovation programme represents a £13.08m investment aimed at supporting existing institutional strategies by providing solutions to institution-wide problems, based upon proven...

  • e-Infrastructure Programme Following the initial five year investment in the UK e-Science infrastructure, the vision for the e-Infrastructure programme is to enhance and consolidate the current technologies and establish...

  • Institutional Exemplars Programme The institutional exemplars programme is a £1.4 million programme to generate exemplar projects demonstrating change at the institutional level.

25 Projects
  • Value for money in automatic Metadata generation This project aims to better understand the information search and retrieval needs of higher education so as to identify opportunities to increase the efficacy of metadata, and to improve efficiency...

  • Chemistry Using Text Annotations This project will integrate Cambridge's chemical text mining tool OSCAR with the U-Compare workflow infrastructure developed by NaCTeM and others. This integration adds chemistry to the world's...

  • Evaluating Automated Subject Tools Enhancing Retrieval The purpose of the project is to test and evaluate existing tools for automated subject metadata generation to better understand what is possible, what the limitations of current solutions are, and...

  • National Grid Service Phase 3 The mission of the National Grid Service is to provide coherent electronic access for UK researchers to all computational and data based resources and facilities required to carry out their research,...

  • FixRep This joint proposal from UKOLN, NaCTeM and Knowledge Integration brings together the experience of each partner in text analysis and information extraction techniques to complete a practical...

2 Services
  • Unlock Unlock the hidden potential in your resources with this set of web services including placename extraction from text, geographic search, and crosswalking between different types of location reference.

  • Text Mining Centre Text Mining Centre is the first publicly-funded text mining centre in the world.

8 Documents
  • Blooming CQF Project plan PDF document The project will be carried out through a partnership of Scottish Further Education Unit (SFEU), Scottish Qualifications Authority (SQA), the Scottish FE Librarians Community of Practice, eCom...

  • Project Plan: BRII (Building the Research Information Infrastructure) PDF document We define research information as the metadata around research activity – descriptions of projects, their funding, outputs, dates; profiles of researchers, their interests, backgrounds and...

  • ASSERT Final Report PDF document The Automatic Summarisation for Systematic Reviews using Text Mining (ASSERT) project draws upon the need for wider inclusion of social scientists in e-Infrastructure. In social science research,...

  • Data Skills and Career Structure study Word document There is little doubt that issues surrounding research data have emerged into the limelight during the past year or so. Much is at stake: the government invests a great deal of money into scholarly...

  • ART project plan Word document Ontology based semantic annotation of scientific papers and data promotes the sharing of research results, and reduces the duplication and loss of knowledge. It also facilitates text mining and...