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The Statistical Cybermetrics Research Group (SCRG) has developed web-based indictors and methods for use in research policy and research evaluation for governmental bodies and non- governmental organisations. The research has impact by providing tools and new types of indicators for policy-relevant evaluations for policy makers and decision makers. The research itself includes (a) the direct production and implementation of new indicators and (b) theoretical research into indicator foundations and tool performance, such as that of the web search engines used for indicator construction. The research has impact on policy making within the United Nations Development Programme by aiding evaluations of its initiatives, and within Oxfam and the BBC World Service Trust. It has impact on policy making at the national and international levels to aid the effective directing of funding to aid knowledge production. It has also has impact on public services by helping Nesta and Jisc to evaluate the success of some of their initiatives.
Aston University researchers developed and maintain the Uncertainty Markup Language (UncertML) for quantitative specification and interoperable communication of uncertainty measures in the Web. It is the only complete mechanism for representation of uncertainty in a web context. UncertML has been:
- Used in policy and decision making by UK (Food and Environment Research Agency) and international (European Commission) government agencies, and many research / industrial institutes;
- Presented at industrial /technical workshops, leading to ongoing international collaborations with bodies such as national space agencies (ESA and NASA) and government data providers;
- Accepted as a discussion paper for formal standardisation by the Open Geospatial Consortium;
- Chosen by independent data providers for efficient sharing of complex information and rigorous risk analysis across scientific domains such as pharmacy, global soil mapping and air quality.
Free and open access (OA) to publicly funded research offers significant benefits, but it also requires complex new systems to underpin it. University of Southampton research has resulted in software products enabling large numbers of research institutions to implement their own digital research repositories. Studies on the viability and impact of OA have steered institutions towards a more cost-effective and impactful model for disseminating research, and UK public policy has been directly influenced by the Southampton team's advocacy work. The research also led to economic benefits through two spin-outs and the development of digital archiving techniques, which have been widely used by broadcast and film institutions.
Kennedy's research advanced knowledge and good practice amongst web designers to enable them to include people with intellectual disabilities (ID) amongst their website audiences and thus improve web accessibility for this user group. The research:
Open Data has lowered barriers to data access, increased government transparency and delivered significant economic, social and environmental benefits. Southampton research and leadership has led to the UK Public Data Principles, which were enshrined in the UK Government Open Data White Paper, and has led to data.gov.uk, which provides access to 10,000 government datasets. The open datasets are proving means for strong citizen engagement and are delivering economic benefit through the £10 million Open Data Institute. These in turn have placed the UK at the forefront of the global data revolution: the UK experience has informed open data initiatives in the USA, EU and G8.
State-of-the-art reasoning systems developed in the UoA have underpinned the standardisation of ontology languages, and play a critical role in numerous applications. For example, HermiT, software developed in the UoA, is being used by Électricité de France (EDF) to provide bespoke energy saving advice to 265,000 customers in France, and a roll out of the use of the system to all of their 17 million customers is planned.
The research in this case study has pioneered knowledge management technology. It has had major impact on drug discovery and translational medicine and is widely adopted in the pharmaceutical and healthcare industries. The impacts are:
KCL research played an essential role in the development of data provenance standards published by the World Wide Web Consortium (W3C) standards body for web technologies, which is responsible for HTTP, HTML, etc. The provenance of data concerns records of the processes by which data was produced, by whom, from what other data, and similar metadata. The standards directly impact on practitioners and professional services through adoption by commercial, governmental and other bodies, such as Oracle, IBM, and Nasa, in handling computational records of the provenance of data.
Based in the School of English, the Research and Development Unit for English Studies (RDUES) conducts research in the field of corpus linguistics and develops innovative software tools to allow a wide range of external audiences to locate, annotate and use electronic data more effectively. This case study details work carried out by the RDUES team (Matt Gee, Andrew Kehoe, Antoinette Renouf) in building large-scale corpora of web texts, from which examples of language use have been extracted, analysed, and presented in a form suitable for teaching and research across and beyond HE, including collaboration with commercial partners.
Within this case study we present the TrOWL technology developed at the University of Aberdeen that enables more efficient and scalable exploitation of semantic data. TrOWL and its component algorithms — REL, Quill and the Aberdeen Profile Checker — have had non-academic impact in two key areas. With respect to practitioners and professional services, the technology has enabled the introduction of two important World Wide Web Consortium (W3C) standards: OWL2 and SPARQL 1.1. This has led to impact in the way that many companies work, across a range of sectors. Further, through partnership with specific companies, the use of TrOWL has changed the way they operate and the technical solutions they provide to clients. These collaborations have led to economic impacts in companies such as Oracle in "mitigat[ing] the losses of potential customers", and IBM in "using the TrOWL reasoning infrastructure in [their] Smarter Cities solutions".