Hi to all,
i would like to run integrity check to see the data element that are in dataset 
that are not linked to the form. Is this possible? Not data element without 
dataset ( data element in dataset that is not linked to the form). Because this 
affects data completeness report(based on data values) where by the target 
column counts all linked and nonlinked data elements which can confuse users. 
Per now i just use a manual checking.


------------------------------On Wed, Jan 11, 2012 2:06 AM PST Ola Hodne 
Titlestad wrote:>I would suggest to capture service availability and stock-outs 
as separate>data elements or even orgunit groups for services, and not as 
some>interpretation of a 0. Then there is no need to capture zeros.>Once the 
data is aggregated up one level all this zero/blank interpretation>is 
impossible anyway. The complete button also gives an indication of>wheter data 
is missing of not.>Ola>On Jan 11, 2012 9:45 AM, "Knut Staring" 
<[email protected]> wrote:>>> Here in India, the activities of  Subcenters 
differ quite a bit in the>> particular services they offer. Therefore, since 
all use a standard format,>> there will almost always be a number of fields 
that are not applicable.>> Because of this, they maintain that 0 is signficant, 
because it means "Have>> the service, but no cases this month", whereas a blank 
field means "Don't>> have the service" in other words N/A.>>>>
 Sometimes it can even mean something in-between, like "We normally>> 
distribute Iron tablets, but sometimes we don't have them (blank), and>> 
sometimes we have them but there is no demand (0)". In my view the latter>> 
semantics is quite complicated, and hard to get consistent, but I'm being>> 
told the health workers handle it well. Thus, a typical report can consist>> of 
50 positive integers, 7 blanks and 20 zeros.>>>> Since data entry on the mobile 
is quite cumbersome and zeros also tend to>> fill up the database, I would have 
preferred zeros to be non-significant>> and just go with blanks. But then we 
would lose the above distinction.>>>> Knut>>>>>> -->> Knut Staring>> Dept. of 
Informatics, University of Oslo>> +4791880522>> http://dhis2.org>>>>>> 
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