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The loss of biodiversity is an issue of global concern. This has prompted intergovernmental aims and global campaigns, administered by organisations such as the World Wide Fund for Nature and the International Union for Conservation of Nature, to halt the rate of species extinction. A major hurdle in these initiatives was the lack of any form of definitive list of the World's species. Species data was scattered across hundreds of local databases, created and interpreted differently by many scientists. No uniform, agreed catalogue existed. However, research produced at the School of Computer Science, at Cardiff University, resolved this. The use of data modelling, constraint checking techniques, protocols and processes to amend conflicts have enabled Species2000/ITIS to produce the Catalogue of Life: www.catalogueoflife.org. This federated database is the most complete set of species data anywhere in the world, comprised of 1.4 million entries. It is accessed by approximately 30,000 users worldwide, each month, and utilised by governments across the globe for nature conservation, import control and predicting the effects of climate change. Other users include charities, specialists, scientists, publishers, students and members of the public worldwide. Therefore the categories of impact claimed are threefold - environmental, economic and impact on society, culture and creativity.
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.
Impacts: I) Improved provision of environmental services in Belize, including the creation of plant reference collections / databases and the training of conservation professionals and students. II) Land-management policy formation by the Government of Belize and NGOs.
Significance and reach: Over the period 2009 - July 2013 there has been a step-change in the quality of biodiversity monitoring carried out by NGOs and the Government of Belize; including the latter being better able to meet international reporting requirements. Over the same period, 40 conservation professionals have been trained in Belize.
Underpinned by: Research into savanna plant diversity, led by the University of Edinburgh (1996 - 2012).
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.
Scientists at the Institute of Zoology (IOZ) led the development of the IUCN Red List, the foremost tool for assessing species extinction risk. We further developed systems to evaluate the status of biodiversity at the national level (National Red Lists), quantify population changes (Living Planet Index) and robustly measure changing biodiversity (Sampled Red List Index), and global indicators of the status of biodiversity for the Convention on Biological Diversity (CBD). These are used to drive conservation policy and public engagement by Inter-Governmental and Non-Governmental Organisations, and national governments, and underpin measurement of adherence to CBD Targets for 2010 and 2020.
Targeted Projection Pursuit (TPP) — developed at Northumbria University — is a novel method for interactive exploration of high-dimension data sets without loss of information. The TPP method performs better than current dimension-reduction methods since it finds projections that best approximate a target view enhanced by certain prior knowledge about the data. "Valley Care" provides a Telecare service to over 5,000 customers as part of Northumbria Healthcare NHS Foundation Trust, and delivers a core service for vulnerable and elderly people (receiving an estimated 129,000 calls per annum) that allows them to live independently and remain in their homes longer. The service informs a wider UK ageing community as part of the NHS Foundation Trust.
Applying our research enabled the managers of Valley Care to establish the volume, type and frequency of calls, identify users at high risk, and to inform the manufacturers of the equipment how to update the database software. This enabled Valley Care managers and staff to analyse the information quickly in order to plan efficiently the work of call operators and social care workers. Our study also provided knowledge about usage patterns of the technology and valuably identified clients at high risk of falls. This is the first time that mathematical and statistical analysis of data sets of this type has been done in the UK and Europe.
As a result of applying the TPP method to its Call Centre multivariate data, Valley Care has been able to transform the quality and efficiency of its service, while operating within the same budget.
Database and URL hijacking is a very real and damaging threat for businesses and their brands. Professor David Duce and Dr Faye Mitchell successfully partnered with Nominet, a leading internet domain registry, to help detect abuse of their WHOIS system and develop tools to better understand and deal with typosquatting. Their approach enabled improvements to Nominet's information services and practices, whilst also influencing the wider technical community. These benefits included better policing of systems, securing brands, reducing fraud and starting to get people thinking about what can be done with data to gain insights and understanding of behaviours.
The impact of statistical ecology research at Kent is on both the survey design of data collection on wild animals, and the analysis of the resulting data. As a result of our research, better quality data are being collected more efficiently, and a wide range of new methods of data analysis are being used. This is essential for the conservation and management of wild animal populations and the preservation of biodiversity. New methods developed at Kent are now standard tools used in ecology. Examples of impact are improved understanding of the decline of British farmland birds, underpinning conservation action plans; and analysis of data from tiger surveys, supporting the Indonesian Government's National Tiger Recovery Plan.
Researchers in Cambridge have developed a data standard for storing and exchanging data between different programs in the field of macromolecular NMR spectroscopy. The standard has been used as the foundation for the development of an open source software suite for NMR data analysis, leading to improved research tools which have been widely adopted by both industrial and academic research groups, who benefit from faster drug development times and lower development costs. The CCPN data standard is an integral part of major European collaborative efforts for NMR software integration, and is being used by the major public databases for protein structures and NMR data, namely Protein Data Bank in Europe (PDBe) and BioMagResBank.
The Great Britain Historical Geographical Information System (GBHGIS) has computerised geographical surveys of Britain, including Ordnance Survey mapping and all censuses 1801-1971, integrating them into a consistent, innovative geo-spatial and geo-semantic information architecture, and disseminated data via many channels including the UK Data Service, direct work for government agencies (e.g. DEFRA, National Archives), and our own very popular web sites that are used extensively by genealogists and the general public with over 1.8 million unique users per annum. Impact of the technical innovation is mainly on non-UK academics, but within the UK we have made it vastly easier to place modern local issues in long-run perspective — and lots of people and organisations have.