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Data dissemination – UK experiences Iain MacLeay, Head of Energy Balances, Prices and Publications Department of Energy and Climate Change United Kingdom 26/10/12
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Overview Why dissemination is important UK practice Recent examples from the UK –Local Authority analytical tool –Interactive maps
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Why is dissemination important What are quality data “Official statistics are fundamental to good government, to the delivery of public services and to decision-making in all sectors of society” – preamble to UK Code of Practise for Official statistics
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Why is dissemination important What are quality data “Official statistics are fundamental to good government, to the delivery of public services and to decision-making in all sectors of society” – preamble to UK Code of Practise for Official statistics Quality data – data produced to good and open methodology that are used and make an impact
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UK Practice National Statistician’s Guidance is published http://www.statisticsauthority.gov.uk/national-statistician/ns-reports-- reviews-and-guidance/national-statistician-s-guidance/index.htmlhttp://www.statisticsauthority.gov.uk/national-statistician/ns-reports-- reviews-and-guidance/national-statistician-s-guidance/index.html A document that provides guidance to all producers of official statistics Compliance with code of practice ensures statistical reports released into public domain in orderly manner that promotes public confidence, gives equal access to all, subject to relevant legislation
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UK Practice continued Responsibility resides with the Statistics Head of Profession Presentation and commentary –Impartial; clear; balanced; made available to widest possible audience; content reviewed regularly Accessibility –Take account of user needs; provide underlying data (subject to confidentiality) Pre-release access –Restrict access to data prior to publication; report breaches –DECC Ministers (3), special advisors (2), senior officials (2), press officer (1) –http://www.decc.gov.uk/assets/decc/11/stats/governance/5494-decc-statemnt-compliance-prerelease-stats.pdfhttp://www.decc.gov.uk/assets/decc/11/stats/governance/5494-decc-statemnt-compliance-prerelease-stats.pdf Publication –Follow published timetable; 12 months in advance –http://www.decc.gov.uk/media/viewfile.ashx?filepath=Statistics/publications/37-decc12monthstatscalendar.pdf&filetype=4&minwidth=truehttp://www.decc.gov.uk/media/viewfile.ashx?filepath=Statistics/publications/37-decc12monthstatscalendar.pdf&filetype=4&minwidth=true –Make metadata available
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Dissemination modes Printed outputs of key annual and quarterly data –Pressure on costs –Print runs down to100s for main annual reports –Cover marginal costs – not full recovery Web –Main method of dissemination –Feedback on access levels –450,000 hits last year
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User engagement Check audience for what’s produced Seek views on new requirements Two years ago DECC ran survey –Feedback positive –More demand for renewables information –More demand for regional data
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Scope of data presented National data Regional breakdowns Sector breakdowns Principle – once we produce analysis – aim to make results available to all Tables, charts, commentary PDFs, excel files
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New media Twitter DECC @DECCgovukDECC @DECCgovuk See where all our energy comes from and how it gets used, http://bit.ly/LQy0Fz #energystatshttp://bit.ly/LQy0Fz #energystats DECC @DECCgovukDECC @DECCgovuk Latest DECC #energy production, consumption and price #statistics published http://tinyurl.com/cfcg257 #energy#statistics http://tinyurl.com/cfcg257 Commenting on today’s Energy Statistics, Energy Minister Charles Hendry said: "Today’s statistics show a clear increase on the first quarter of last year across all renewables – with rises in wind, hydro, solar and bioenergy generation. “Alongside a 36% increase in renewables capacity in the last 12 months, this shows that the UK is powering forward on clean and secure energy and is clearly a very attractive place to invest.” View “Quarterly energy statistics: Energy trends and quarterly energy prices” on the DECC websiteView “Quarterly energy statistics: Energy trends and quarterly energy prices” on the DECC website.
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Dissemination of Statistics Keep it simple but factual Who is audience, what level of numerical skill Charts must make point easier to understand – they are the hook Should raise a “why” question
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Charts Everyone can understand a good chart! UK Final Energy Consumption 2001 - 2011 A good picture is worth a thousand words
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Developing new uses of statistics Mapping energy statistics MapInfo Professional 10 Create maps using postcode level or various geographical level data e.g. at local authority or output area level Capability to layer different types of maps. For example, it is possible to super-impose a map of the national gas network to the map on the right.
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Developments Good presentation of data is key Need to get data noticed and used Visualisation – a moving story – engages users Examples from the UK –Local Authority analytical tool –Interactive maps
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Demonstration UK Local Authority analytical tool
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Sub-national gas and electricity analytical tool Overview This tool forms part of a wider project that started in 2003 to meet user’s energy needs at lower geographies. The tool is targeting local authority councils to help develop and monitor policies whilst also enabling comparisons to be made with other local authorities. It is universally available. Currently, the fuels available for comparison in the tool are gas and electricity. New fuels will be become available for comparison in the upcoming months. These include, road transport and residual fuels. Residual fuels being non-gas, non-electricity and non- transport uses of fuels. It is in a ready to use Excel format and can be downloaded from the internet on the DECC statistics website. Sub-national gas and electricity analytical tool
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Front Page
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Introduction Page
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Individual Local Authority Analysis
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Comparisons between local authorities
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Local Authority Ranking
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Data section
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Information pages Notes and definitionsLinks
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Demonstration Interactive Mapping tool
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Using the tool
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Visualising changes in datasets
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Visualising changes overtime
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Using the tool
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Mapping tool Any Questions?
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