Discussion Series: How have you raised the bar on data quality?

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Hi ODK folks , I would like to contribute to the discussion with my views
on enhancing data quality , of course constraints and relevant and
calculations are crucial on all this , here are my experiences regarding*
first question*:

  • Introducing time-stamps at the end of each section , this can be done
    adding a time question with a read only property with an informative
    message like "You are at the end of section 1 please swipe to move forward
    to the section 2 ...". On this way we are able of recording the relative
    time each enumerator spend on going through each section , this is adding
    on more variable to analyze in order to shorten a particular section or
    reinforce the training for a particular enumerator

  • Adding a question (Q2) single select question with the following
    choices

Does not know Refused to answer Skipped in error Does not apply
(that will prompt if the previous question (Q1) was not answered or
skipped by error adding the following relevant condition:

for integer input questions I use the following relevant : not(${Q1}>0 or
${Q1}=0)

for select one input questions I use the following :not(${Q1}='1') and
not(${Q1}='2') and not(${cQ1}='3')

for string input questions I use the following : string-length(Q1) = 0

  • Using regular expressions under constraint column for string input
    questions as much as I can i.e.

      -for email adresses: regex(.,

'[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+.[A-Za-z]{2,4}')
-for letters and numbers combination
: regex(.,'[1]{3}[0-9]{5}$')

Regarding second question I really think that it would be possible for
the ODK community could put together via google doc or similar a sheet that
could compile the different approaches used for enhancing data quality ,
don't you think so ?

Best regards

Jorge

··· 2015-10-18 22:08 GMT+02:00 Christopher Robert :

All,

I have a hypothesis:

When it comes to collecting high-quality data, ODK users have a
tremendous wealth of experience.

As a community, it would be extremely valuable to share some of that
hard-won experience, some of that wisdom. So while I have some thoughts of
my own, I'd like to open this week's discussion with a question for you:

How is it that you have raised the bar on data quality?

In other words, what have you done to improve the quality of the data you
collect? And what can we all learn from your experience?

And finally:

How might we, in the ODK community, raise the bar even further in the
future?

Please reply to the group and share some of your thoughts. It can be your
public service for the week.

Thanks,

Chris

Christopher Robert
Dobility, Inc. (SurveyCTO)
http://www.surveycto.com/
http://blog.surveycto.com/

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Jorge Durand Zurdo

joduzu@gmail.com joduzu@gmail.com*skype user: *joduzu

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