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Re: Granular Control for Dataset association with orgunits

 

Thanks for the clarification guys. I can see that it would add another level of complexity, but like you say Lars ultimately it will probably be necessary. I really like the dataset assignment editor at the moment. Perhaps as a suggestion you could keep this the same so if anyone associates / disassociates a dataset with an orgunit , the start / end date is today (or this week / month as appropriate). Then another option - 'dataset time editor' could be used to provide granular control over the start and end dates of a specific data set associated with the orgunits. This could look much like the assignment editor, but with timeperiods (week / month dependent on the dataset) as the columns? Then again might be much harder to implement than that....

Happy thinking!


On 25/02/13 10:29, Lars Helge Øverland wrote:
Hi Dan,

sorry at the moment it is not possible. We have been hearing this requirements a few times now and have been considering to include a time aspect in the data set assignment. On one side it will add some complexity and make it more challenging for users to maintain it properly, on the other side it might simply become necessary. Will think about it.

regards, Lars





On Fri, Feb 22, 2013 at 8:51 AM, Jason Pickering <jason.p.pickering@xxxxxxxxx <mailto:jason.p.pickering@xxxxxxxxx>> wrote:

    Hi Dan,
    I do not think this is possible at the moment. Would be good
    though to hear from the developers about this. For the national
    DHIS2 instance in Zambia, we have developed custom reports which
    factor in the startdate/enddate of the facility to determine
    whether or not they should contribute to reporting completeness.
    However, this means that the start dates and end dates must be
    maintained /populated correctly. This approach would not take into
    account situations (mentioned for instance by Nick from the
    Solomons on the list a week or so ago) when a facility may report
    on an infrequent basis.

    What you want would seem to require some sort of external
    analysis. You could extract out the reporting completeness
    figures, but then run this through an extra data set which would
    contain information on the dates which you expect the facility to
    report.  Not really sure there is really any way to get this out
    of the system at the moment though, unless you were to create yet
    another dataset "Expected reports" and then have a Yes/No data
    element to record whether or not you actually expect a report for
    a given facility for a given dataset. Sounds messy.

    Regards,
    Jason



    On Thu, Feb 21, 2013 at 12:32 PM, Daniel Bridges
    <dbridges@xxxxxxxxxxxxxxxxx <mailto:dbridges@xxxxxxxxxxxxxxxxx>>
    wrote:

        Hope this hasn't been asked before, but is there any way to
        associate an orgunit with a dataset for a defined period, or
        at least a start period? We are migrating users from one
        dataset to an updated one with different questions etc. The
        changeover will take some time so had to create a second
        dataset rather than change the original. Anyway if you look at
        'Reporting rate summary' reports it gets very confusing. For
        example lets say orgunit 'Muchila' is associated with dataset
        old for Dec 2012 and then is changed to dataset new for Jan
        2013. If you look at the reporting rate summary report for
        dataset old, there is no information for Dec or Jan (blank /
        empty table). Conversely if you look at dataset new for either
        of these months then the table is populated with expected
        values. This is fine for Jan 2013 as you are expecting data,
        but Dec 2012 should give a blank.... For creating charts this
        makes no difference, but it is sometimes important to
        determine whether a 0 means the orgunit failed to report or
        not.... This may be difficult to determine with historical data!

        Hope all of that made sense - let me know if I need to clarify.

        Cheers
        Dan

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