This project has received funding from the European Community's Seventh Framework Program (FP7/2007-2013) under grant agreement nº265178

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_____________________________Aston University ( UK )_________________________

Aston University is a technology and application focussed University with areas of international excellence. Within Aston University , the School of Engineering and Applied Sciences (SEAS) has roughly 80 members of academic staff working in areas including Computer Science, Sustainability and Mathematics. Within SEAS, the world-class Neural Computing Research Group (NCRG) has for many years been at the forefront of developments in machine learning. The developing Knowledge Engineering Group (KEG) works within the areas of knowledge representation and management, database integration and interoperability, and software engineering. The Sustainable Environments Research Group (SERG) focuses on the application of GIS and modelling methods to address broad sustainability issues including conservation planning, renewable energy and disease monitoring.

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Main tasks in Project____________________________________________________

Lead the development of a framework and tools to support the quality indicators and in particular will undertake their elicitation from reference standards using statistical methods and community based user rating. This will exploit AST's expertise in statistical modelling and managing uncertainty in complex settings, as well as the practical implementation of this in open, standards based settings. AST will also contribute to the problem framing in WP2, and will lead on the design of the architecture and data models in WP6 and WP3. This will draw on the experience in the creation and proposal of UncertML to OGC, the success of the INTAMAP project and the ongoing work in the UncertWeb project. AST will also work on usability and visualisation, including the GEO S&T label and access using mobile devices. AST are members of the data quality working group within OGC.


Key project participants_________________________________________________________

Dr. Dan Cornford is a senior lecturer in Computer Science. His research interests are in statistical approaches to modelling and data assimilation in environmental models, geostatistics and data interoperability. He leads a multi-institution UK EPSRC grant (EP/C005848/1) which has developed new variational Bayesian methods for data assimilation. He was part of the management team of the highly rated EU-funded INTAMAP project (033811) which developed methods for interoperable, automatic interpolation including an encoding for communicating uncertainty, UncertML. He will coordinate the EU funded UncertWeb project (248488) which will start in Feb 2010. Key role in the project: lead the quality indicator encoding and elicitation work in WP3. Disseminate the work to a broad audience.

Dr. Lucy Bastin is a lecturer in Geographic Information Systems. Her research interests are in applied spatial analysis for ecological and environmental contexts using remote sensing and other in-situ data, accounting for uncertainty. She is an investigator on the EU funded INTAMAP project (033811), and currently collaborates closely with researchers at RMIT (Melbourne) on research into biodiversity planning in urban fringes, including the publication of an open-source framework by which planners can assess the impacts of uncertainty on widely-used tools for systematic reserve design. Key role in the project: contribute to the development of quality indicators and assessment of visualisation strategies, and input to the scenarios in WP7.

Dr. Joanna Lumsden received her BSc in Software Engineering in 1996 and a PhD in Human Computer Interaction in 2001, both from Glasgow University , Scotland . Her research activities cover many aspects of human computer interaction. Most recently she has focussed on trust in e-Commerce and on mobile human computer interaction design and associated evaluation techniques. Joanna is the Editor-in-Chief of the International Journal of Mobile HCI (IJMHCI), the only journal dedicated to the design and evaluation of the user interface aspects of mobile technologies. Key role in the project: lead on the interface development and links between quality, trust and usability, particularly in mobile devices.

Ms. Victoria Lush (BSc in Computer Science) is a PhD student at Aston University since 2010. The main objective of her research is effective representation of quality and trust information for geospatial data specifically, the development and evaluation of data quality and trust indicators to provide better decision support and enable data users to more effectively evaluate GIS data quality. Her research also aims to establish and develop a GEO label which will visually summarise and allow interrogation of key informational aspects of geospatial datasets upon which users rely when selecting datasets for use. The proposed GEO label will be integrated in the Global Earth Observation System of Systems (GEOSS) and will be used as a value and trust indicator for geospatial datasets accessible through the GEO Portal.