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Re: Single or duplicate data elements for mixed period collection?

 

Hi Knut,

AFAIK, this is not recommended. See here

http://dhis2.github.io/dhis2-docs/2.22/en/user/html/ch22s02.html

22.2.5. Data elements assigned to data sets with different period types

Data elements should not be assigned to two separate data sets whose period
types differ. The recommended approach would be to create two separate data
elements (for instance a monthly and yearly data element) and assign these
to respective datasets.


I am sure Lars can provide the exact reason for this, but I am pretty sure
one should not have the same data element with two separate frequencies. It
would seem to be a good feature however, but I believe this is a
restriction imposed by analytics at the moment.

Regards,

Jason



On Thu, Jul 14, 2016 at 4:28 PM, Knut Staring <knutst@xxxxxxxxx> wrote:

> Thanks JM, I forgot to mention that.
>
> Though you may still have to watch the totals if you combine months and
> years in the same Pivot Table.
>
> Knut
>
> On 14 Jul 2016 9:50 p.m., "Juan Manuel Alcantara Acosta" <
> jmalcantara1@xxxxxxxxx> wrote:
>
> Hi Knut
> One way to avoid double counting is to make sure both data sets are never
> active in the same org units.
> JM
>
>
> El 14/07/2016, a las 2:10 p.m., Knut Staring <knutst@xxxxxxxxx> escribió:
>
> Hi David,
>
> I think it will work quite well to just use the same data element in
> different datasets with different periodicity. The only thing to look out
> for is to avoid double counting, e.g. watch out for misleading Totals in
> Analytics.
>
> Knut
>
> On Wed, Jul 13, 2016 at 9:23 AM, David Hagan <david.hagan@xxxxxxxxxxxxx>
> wrote:
>
>> Good morning DHIS2 community,
>>
>> It's been a while ... changing mail clients meant that forum messages
>> skipped my in-box ... and what do they say ... 'out of sight - out of mind'.
>>
>> Anyway, I've rearranged settings and can see the email list is as busy as
>> ever!
>>
>> And onto my burning question:
>>
>> If we have a mix of organisational units (countries in our case,
>> collecting national data) that:
>>
>>    - some of which have historical monthly data, and some of which only
>>    have annual data; and
>>    - going forward, are transitioning to monthly data (but some will be
>>    slower and for the next couple of years will only have annual data)
>>
>> AND we want to bring this into a single DHIS2 instance, then
>>
>>    1. Is the best approach to create a set of duplicate data elements
>>    (in different datasets, one set for an annual collection period and one set
>>    for a monthly collection period)? or
>>    2. Is it possible to use a single data element in two different
>>    datasets with different periods set (one monthly and one annual)? ... (I
>>    don't see how this would work in practice, but maybe I'm just missing
>>    something - I know it is possible to put a DE in more than one dataset, but
>>    mixed collection periods for the same data element seems like it will mess
>>    up reporting and analytics)
>>
>> Any thoughts or guidance or other options from the group appreciated.
>>
>> Regards
>>
>> David Hagan
>>
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>>
>
>
> --
> Knut Staring
> Dept. of Informatics, University of Oslo
> Norway: +4791880522
> Skype: knutstar
> http://dhis2.org
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>
>
>
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-- 
Jason P. Pickering
email: jason.p.pickering@xxxxxxxxx
tel:+46764147049

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