Projects: Projects for Investigator |
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Reference Number | EP/N002563/1 | |
Title | DM4(B)T: Data Management for (Build)TEDDI(NET) using Semantic Technologies | |
Status | Completed | |
Energy Categories | Energy Efficiency(Residential and commercial) 50%; Not Energy Related 50%; |
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Research Types | Basic and strategic applied research 100% | |
Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 50%; ENGINEERING AND TECHNOLOGY (Architecture and the Built Environment) 50%; |
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UKERC Cross Cutting Characterisation | Not Cross-cutting 75%; Other (Energy technology information dissemination) 25%; |
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Principal Investigator |
Dr J Padget No email address given Computer Science University of Bath |
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Award Type | Standard | |
Funding Source | EPSRC | |
Start Date | 01 March 2016 | |
End Date | 31 August 2017 | |
Duration | 18 months | |
Total Grant Value | £49,238 | |
Industrial Sectors | Energy | |
Region | South West | |
Programme | Energy : Energy | |
Investigators | Principal Investigator | Dr J Padget , Computer Science, University of Bath (99.998%) |
Other Investigator | Dr S Natarajan , Architecture and Civil Engineering, University of Bath (0.001%) Dr CJ Pink , Librar, University of Bath (0.001%) |
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Web Site | ||
Objectives | ||
Abstract | EPSRC funded 22 projects over two calls in 2010 and 2012 to investigate `Transforming Energy Demand through Digital Innovation' (TEDDI) as a means to find how and how people use energy in homes and what can be done reduce energy consumption. As a result a lot of data is being collected at different levels of detail in a variety of housing up and down the UK, but the mode, detail and quantity are largely defined by the needs of each individual project. At the same time, the research councils (RCUK) are defining guidelines for what happens to data generated by projects they fund, for which universities are then defining policies and finally researchers are then taking concrete actions to store, preserve and document data for future reference. The problem at this current time is that there is relatively little awareness, limited experience and only emerging practice of how to incorporate data management into much of (physical) science research. This is in stark contrast to established procedures for data formats and sharing in the biosciences, stemming from international collaboration on the Human Genome Project, and in the social sciences, where data from national surveys, including census data, have been centrally archived for many years. Consequently, current solutions adopted by (Build)TEDDI projects may be able to meet a minimal interpretation of the requirements, but not effectively deliver the desired data legacy, such as (for example) the means to execute trans-project queries, or being able to cite the results of such queries for the sake of reproducibility. AIMS AND OBJECTIVES : The challenges described above, which we address in DM4(B)T in the microcosm of the TEDDI projects, are tackled in three ways: Key activities and outputs: APPLICATIONS AND BENEFITS |
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Publications | (none) |
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Final Report | (none) |
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Added to Database | 30/11/15 |