The RSS has just opened nominations for its Statistical Excellence in Official Statistics Awards 2016. The award is for anyone working on government statistics and rewards good practice, both in terms of presentation and in innovative statistical practice that helps improve the service to users.
Unlike last year, there will just be one award in 2016, for excellence in official statistics. We are especially looking for entries which show a clear demonstration of excellent user engagement.
Work must have been carried out or completed between 1 January 2015 and 31 December 2015. Criteria includes excellent communication of results, accessibility to a wide array of users and/or innovative practices such as the use of existing data to respond to previously unmet needs or improving current processes. Credit will also be given for outstanding individual effort or for overcoming obstacles such as political sensitivity or severe timing constraints.
The 2015 main award was won by the Welsh Government’s Welsh Index of Multiple Deprivation team. The Welsh Index of Multiple Deprivation is the official measure of relative deprivation for small areas in Wales, crucial to the Welsh Government, local authorities, the third sector and others involved in tackling poverty across Wales. The 2014 WIMD team made major changes in presentation including a new bilingual interactive tool enabling users to access maps of the different domains of the Index, see how their area compared to others around them and across Wales and identify the issues affecting deprivation in their area, an infographic explaining the Index and the results and a guide to analysing deprivation in rural areas.
Jill Leyland chair of the organising committee said: 'Every year we see examples of excellent practice in entries for these awards. This year I particularly want to encourage users to nominate GSS teams who have gone the extra mile in responding to user needs.'
Nominations are now open and entry forms can be downloaded from our main website at www.rss.org.uk/official-statistics-awards. The deadline for entries is 16 March 2016.