United Nations Economic Commission for Europe Statistical Division The Importance of Databases in the Dissemination Process Steven Vale, UNECE
Steven Vale - UNECE Statistical Division Slide 201 November 2015 Contents How are data currently disseminated? Advantages and disadvantages of different approaches Introduction to data cubes Good practices
Steven Vale - UNECE Statistical Division Slide 301 November 2015 Dissemination Practices Web sites of statistical agencies for all 56 UNECE member countries checked during spring Data dissemination systems and formats recorded. Not possible to check all national language versions of websites.
Steven Vale - UNECE Statistical Division Slide 401 November 2015 Results Internet Dissemination Tools Number of Countries % Static html / pdf / word pages2951.8% Excel spreadsheets1221.4% National database software1730.4% PC-Axis1221.4% Statbank / PC-Axis35.4% SuperWEB23.6%
Steven Vale - UNECE Statistical Division Slide 501 November 2015 Static html / pdf / word Pages
Steven Vale - UNECE Statistical Division Slide 601 November 2015 Static html / pdf / word Pages Advantages Quick, easy and cheap to prepare Data at a glance Possible to combine tables, graphics and text Html and pdf viewers are free Disadvantages Only a picture - users can not easily download or manipulate data Manual updates
Steven Vale - UNECE Statistical Division Slide 701 November 2015 Excel Spreadsheets
Steven Vale - UNECE Statistical Division Slide 801 November 2015 Excel Spreadsheets Advantages Users can download and customize data Most common format for basic data analysis Disadvantages Excel software is not cheap! Manual updates User has to download the whole file
Steven Vale - UNECE Statistical Division Slide 901 November 2015 Output Databases
Steven Vale - UNECE Statistical Division Slide 1001 November 2015 Output Databases Advantages Interactive with flexible outputs User friendly (usually!) Can be tailored to national requirements Some generic systems available Disadvantages Can be expensive to develop and maintain, particularly if you develop your own system
Steven Vale - UNECE Statistical Division Slide 1101 November 2015 What Do Users Want? Depends on the type of user Quick access to key figures Options to select and manipulate data Easy export to own analysis packages Graphic visualizations (maps, charts,..) Appropriate metadata Multiple languages
Steven Vale - UNECE Statistical Division Slide 1201 November 2015 What is a Data Cube? A multi-dimensional structure containing data points that represent unique combinations of several classifications A flexible way of storing and disseminating data
Steven Vale - UNECE Statistical Division Slide 1301 November 2015 Two-dimensional Cube Year Country AAA BBB CCC
Steven Vale - UNECE Statistical Division Slide 1401 November 2015 Three- dimensional Cube
Steven Vale - UNECE Statistical Division Slide 1501 November 2015 More dimensions are possible, but not easy to display!
Steven Vale - UNECE Statistical Division Slide 1601 November 2015 Why Data Cubes are Important Many statistical data management models and systems are based on cubes Users can select just those data that are of interest Cubes can easily be expanded, e.g. for extra years, countries, or other categories At least in theory, cubes can have an infinite number of dimensions
Steven Vale - UNECE Statistical Division Slide 1701 November 2015 Good Practices Static tables can be useful for key figures For detailed or large datasets, allow users to create and manipulate their own tables Store data as multi-dimensional cubes Offer graphic visualizations Allow users to download data in a range of formats (including SDMX)
Steven Vale - UNECE Statistical Division Slide 1801 November 2015 Good Practices (2) Link data and metadata Share development in an open-source environment or network, with an electronic forum for discussions and questions Don’t try to re-invent the wheel!
Steven Vale - UNECE Statistical Division Slide 1901 November 2015 Thank you for listening Questions?