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" <firstname.lastname@example.org> 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>>>>>> _______________________________________________>> Mailing list: DHIS 2 developers in Launchpad>> Post to : email@example.com>> Unsubscribe : DHIS 2 developers in Launchpad>> More help
: ListHelp - Launchpad Help>>>>