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Visualising	
  data	
  –	
  why/how	
  
    Involving	
  schools?	
  
      disinterested	
  use	
  of	
  open	
  data	
  

     @paul0evans1	
  &	
  @tobyblume	
  
             #visualdata	
  
Understanding	
  what	
  we’re	
  trying	
  to	
  
 achieve	
  with	
  data/visualisaCons	
  
‘Noisy’	
  opinion	
  
•  UnrepresentaCve	
  –	
  small	
  numbers	
  -­‐	
  
   intermediaries	
  
•  Time-­‐rich	
  –	
  heavy	
  engagement	
  
•  ‘Prejudiced’	
  (ideology,	
  religion,	
  tribalism	
  
   etc)	
  
•  Self-­‐interested	
  –	
  not	
  public	
  interest	
  
                                                                    Down with this
•  GeOng	
  more	
  abundant	
  (free	
  publishing)	
              sort of thing!
                                    Heavy	
  preferences	
  &	
  
   DistorCon	
  &	
                  passionate	
  views	
  
  disinformaCon	
  

                 Coercion:	
  Campaigning	
  
                     &	
  vote-­‐driving	
  
Good	
  digital	
  policymaking	
  tree	
  
                                            OpCmal	
  
                                             Policy	
  
                           NaConal	
  
                          Government	
  

                                           Councillors	
  

        Evidence	
                                                     Opinion	
  
                                                              Newspapers,	
  pressure	
  
Experience	
  +	
  research	
  +	
                            groups,	
  FOI	
  requests	
  +	
  
disinterested	
  armchair	
                ConsultaCons	
           Bloggers	
  
 auditors,	
  hyperlocals	
  
We	
  want…	
  
•  Disinterested	
  analysis	
  -­‐	
  not	
  inducCve	
  
•  Many	
  minds	
  –	
  diversity	
  of	
  perspecCves	
  /	
  
   invenCon	
  /	
  ‘conversaCon	
  starters’	
  
•  Issues	
  made	
  more	
  a^racCve	
  to	
  engage	
  with	
  –	
  
   infographics	
  /	
  walk-­‐throughs	
  etc	
  
•  Folksy	
  descripCon	
  of	
  council	
  work	
  –	
  not	
  
   ‘officer-­‐speak’	
  
PenalCes	
  of	
  being	
  hard	
  to	
  deal	
  with	
  
•  Price	
  parCcipaCon	
  at	
  £0	
  =	
  mostly	
  ‘fanaCc’	
  
   respondents	
  
•  Hard-­‐to-­‐get	
  informaCon	
  (FOI)	
  rewards	
  hard-­‐
   to-­‐avoids	
  –	
  and	
  loses	
  control	
  of	
  how	
  
   informaCon	
  is	
  released	
  
•  Having	
  a	
  monopoly	
  in	
  describing	
  your	
  service	
  
   =	
  bureaucraCc	
  voice/distrust	
  (spin)	
  
h^p://dharmafly.com/localbusiness	
  
SuggesCons	
  from	
  the	
  session	
  
•  Review	
  required	
  skills	
  for	
  LocalGov	
  employment	
  
•  Co-­‐ordinate	
  visualisaCon	
  skills	
  within	
  local	
  government	
  be^er	
  
•  Lower	
  expectaCons	
  on	
  corporate	
  style	
  –	
  go	
  for	
  authenCcity	
  rather	
  
   than	
  branding	
  
•  Encourage	
  people	
  other	
  than	
  formal	
  employees	
  to	
  present	
  
   informaCon	
  –	
  it’s	
  more	
  authenCc	
  –	
  enable	
  and	
  curate	
  rather	
  than	
  
   ‘just	
  create’	
  
•  Make	
  a	
  clearer	
  link	
  between	
  parCcipaCon	
  &	
  decisionmaking	
  
•  Make	
  organisaCons	
  more	
  permissive	
  in	
  comms	
  terms	
  –	
  making	
  
   everything	
  go	
  through	
  the	
  corporate	
  filter	
  doesn’t	
  work	
  
•  When	
  we	
  inform	
  –	
  say	
  WHY	
  we’re	
  informing	
  
•  Curate	
  walk-­‐throughs	
  of	
  how	
  people	
  do	
  good	
  data-­‐visualisaCon	
  –	
  
   dotgovlabs	
  /	
  skunkworks	
  
•  Visual	
  media	
  surgeries!!!	
  

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Notes on the schools data visualisation localgovcamp session

  • 1. Visualising  data  –  why/how   Involving  schools?   disinterested  use  of  open  data   @paul0evans1  &  @tobyblume   #visualdata  
  • 2. Understanding  what  we’re  trying  to   achieve  with  data/visualisaCons  
  • 3.
  • 4. ‘Noisy’  opinion   •  UnrepresentaCve  –  small  numbers  -­‐   intermediaries   •  Time-­‐rich  –  heavy  engagement   •  ‘Prejudiced’  (ideology,  religion,  tribalism   etc)   •  Self-­‐interested  –  not  public  interest   Down with this •  GeOng  more  abundant  (free  publishing)   sort of thing! Heavy  preferences  &   DistorCon  &   passionate  views   disinformaCon   Coercion:  Campaigning   &  vote-­‐driving  
  • 5. Good  digital  policymaking  tree   OpCmal   Policy   NaConal   Government   Councillors   Evidence   Opinion   Newspapers,  pressure   Experience  +  research  +   groups,  FOI  requests  +   disinterested  armchair   ConsultaCons   Bloggers   auditors,  hyperlocals  
  • 6. We  want…   •  Disinterested  analysis  -­‐  not  inducCve   •  Many  minds  –  diversity  of  perspecCves  /   invenCon  /  ‘conversaCon  starters’   •  Issues  made  more  a^racCve  to  engage  with  –   infographics  /  walk-­‐throughs  etc   •  Folksy  descripCon  of  council  work  –  not   ‘officer-­‐speak’  
  • 7. PenalCes  of  being  hard  to  deal  with   •  Price  parCcipaCon  at  £0  =  mostly  ‘fanaCc’   respondents   •  Hard-­‐to-­‐get  informaCon  (FOI)  rewards  hard-­‐ to-­‐avoids  –  and  loses  control  of  how   informaCon  is  released   •  Having  a  monopoly  in  describing  your  service   =  bureaucraCc  voice/distrust  (spin)  
  • 9. SuggesCons  from  the  session   •  Review  required  skills  for  LocalGov  employment   •  Co-­‐ordinate  visualisaCon  skills  within  local  government  be^er   •  Lower  expectaCons  on  corporate  style  –  go  for  authenCcity  rather   than  branding   •  Encourage  people  other  than  formal  employees  to  present   informaCon  –  it’s  more  authenCc  –  enable  and  curate  rather  than   ‘just  create’   •  Make  a  clearer  link  between  parCcipaCon  &  decisionmaking   •  Make  organisaCons  more  permissive  in  comms  terms  –  making   everything  go  through  the  corporate  filter  doesn’t  work   •  When  we  inform  –  say  WHY  we’re  informing   •  Curate  walk-­‐throughs  of  how  people  do  good  data-­‐visualisaCon  –   dotgovlabs  /  skunkworks   •  Visual  media  surgeries!!!