dhis2-users team mailing list archive

[Knut Staring <knutst@xxxxxxxxx>]

Hm, my instinct was to say the same as the manual says, but when I tested
it with the same restrictions that Juan Manuel pointed out, it seemed to
work fine.

Knut

On 14 Jul 2016 10:38 p.m., "Jason Pickering" <jason.p.pickering@xxxxxxxxx>
wrote:

> 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
>