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The UK Data Service has been investing in a unified repository infrastructure (DSaaP -- Data Services as a Platform) that enables true domain-agnostic research. Starting from first principles at the datum level, we have worked on the proposition that the richest impact on policy is generated when analysis can be conducted in one place on multiple domains (in this case social sciences and energy, although the principle is extensible to any domain). Both "big data" from household smart meters and traditional social science surveys can now be explored, linked and analysed in a single user interface, in a single infrastructure, referencing a single architecture and a single metadata model. Traditionally, this kind of "collective intelligence" has been difficult to achieve without expensive and resource-intensive data brokerage services which are hopelessly unscalable. We demonstrate a real-world portal where you can link streaming smart meter energy data and traditional survey data to create derived data products in real-time and explain how this fundamentally alters the way we enable cross-disciplinary research.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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