Understanding Data Elements in DHIS2 | DHIS2 Metadata Series

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After working with categories (like age and sex) in the previous post titled:

The next step is defining what you actually want to measure.

In DHIS2, this is done using data elements, for example:

  • Number of Voters
  • Number of Registered Voters
  • Number of Valid Votes
  • Number of Invalid Votes

In this short video, I walk through a simple election-based example and show how these can be created using CSV import.

To make this even easier, I’ve also created a small GitHub repository with ready-to-use blank CSV templates that already follow the correct structure and naming conventions.

The idea is to remove the guesswork, so you can focus on filling in your data rather than figuring out the format.

:github: GitHub Repository :backhand_index_pointing_down:

I’d be interested to hear how others approach structuring data elements, especially when working with larger datasets.

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If I may add something. It is not necessary to use the phrase ‘number of’. The DE list should read
Voter
Voter registered
Vote valid
Vote invalid
However these will need some very clear definitions so that they are correctly understood. Note that singular is used, not plural
Thanks
Norah

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Thank you @Norah_Stoops. This is a very helpful clarification.

The point about using singular terms and ensuring clear definitions is especially useful. I’ll incorporate this in future examples.