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The core output from the 2001 Census was based around a range of product families containing standard predefined data sets. These were supplemented by a number of complementary releases to either support their use, add value to high volume datasets, or provide slices of user friendly data for a wider audience and with limited commentary.
Respondents to the online output questionnaire were asked to indicate which value added 2001 Census products they have used, and the chart below indicates responses. Chart 1 Over half of respondents have used Area classifications and Look-up tables making these the most widely used 2001 Census value-added products. Other products commonly used were digital area boundaries (45 per cent), census profiles (39 per cent), thematic maps (33 per cent) and Focus On reports (23 per cent). Clearly these results are influenced by the profile of the user responding to the question. ‘Popular’ products such as profiles will in general have been used more by a casual user. Such users might have no need for, or knowledge of, look-ups or digital boundaries, which will have been the interest of experienced expert users. Taking a simplified view, adding value could be classified under two broad types of activity; helping to understand data – through improved presentation or addition of commentary; or helping to use the data – with improved delivery, packaging and complimentary services or products that add ancillary functionality. In developing an approach to 2011 output, we will aim to concentrate on areas where users are most keen to see improvements to previous products and/or additional new or merged services. We are keen to know more about your experiences of 2001 products – what you think are the ‘hits’ and ‘misses’ and where you would like to see the most changes or advancements. «« Previous post Online output questionnaire results II: 2001 Metadata See other posts similar to this one: |
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Online output questionnaire results III: Adding value
The interesting things we could learn from the results would require knowledge of the number of returns and the counts by persona for the bars illustrated. I think the 20% "none of the above" could be important, if it falls entirely within one persona.
We need to know much more about the sample of respondents to judge how representative the results might prove within the user communities / personas.
When considering the outputs, to be able to call down custom ready disclosure controlled tabulations would cut the need to call for so many special tabulations and the associated delays whilst disclosure issues were sorted out - or not in many cases.
There needs to be thought on how to use the provision in the Statistics and Registration Services Act with regards approved researchers (section 39 (4) i). This status allied with an approval of the setting in which the data would be processed, could provide the reassurance to enable less disclosure controlled (sensitive) data sets to be available to researchers not in ONS control centres?