This is very useful. I assume our reviewer @codrina was referring to the data you just mentioned. I am happy to add these details because they make this entry much more useful.
But unfortunately for this edition of GODI we cannot change the score of this dataset. We decided to only assess location data if it contains addresses (with the exception that post codes are so granular that they function as address). We based this decision on a report by the Universal Postal Union.
It describes postal codes as identifiers for a collection of postal delivery points/addresses. Address elements are needed to specify a postal delivery point within a post code area. Both types of information (post code and address) have different use purposes which was the main criterion for us to only accept submissions of datasets that contain both data elements.
We assessed all countries applying the same criteria, asking if they provide all data in our key dataset. All countries were assessed against this same standard for two reasons:
- a more accurate and comparable ranking based on a standard definition of our dataset
- reducing personal judgement or bias of our reviewer
We are unable to change our data definitions for this year, because then we would have to change all entries that are affected by this decision. But we can add your input on the result page of the entry.
Reflections and how we may change this data category in the future.
We tend to make addresses an optional category in the future. Our reviewer @codrina wrote a review diary in which she explains why it would be reasonable to make addresses an optional data element. So we could accept more submissions as valid.
Also, we have to be aware that not all countries have address systems put in place (as this brochure by the Universal Postal Union shows). This applies for the entire category, and not only for the question whether we look into post codes or addresses. Our ranking is currently biased towards countries that produce postal location information. In the future we could:
- avoid to score it at all
- have an adjusted scoring
We would love to hear your input how we can develop this category further.