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But otherwise, I agree something could be done in terms of better discovery. I was surprised when I checked google search for a few of the indicators from your data bundle (in English), but no graph showed up in the search results. Well, 'slideware' doesn't work in all cases, it's not perfect (yet) and there is still enough room for developments and our contributions :-) 1 year ago
And it’s not only a matter of the dataset’s visibility as a whole: more important than that is the dataset’s *contents* visibility (metrics, dimensions, locations, time...): that’s why this issue is referred to as ’discovery’ in the summary (slide 110). For example, as it is now, a user has a hard time to discover all the information available at GPDE for a certain country like Italy.
' I could speculate that you personally know all people who find your dataset through the directory ;-)'
If that was the case that would prove my point :-): only those who already knew our dataset was there did actually find it. Probably, many of those interested in our information that didn’t expect it to be there and weren’t looking for it didn’t find out about it after visiting the directory list. 1 year ago
Besides, considering topics as groups of metrics doesn’t seem right. For some topics (’society’, ’labor market’, ’education’...) [see slide 71], it is not just about a metric (’population’) but about a metric * dimensions. Now, if you have many metrics, the only tool at hand to help your users is grouping them into topics. So you are forced to choose between the data model or the user interface.
We have so many metrics that not grouping them wasn’t an option, so we had to ’cheat’ in the data model front: we made up some metrics like ’Economic activity of the population’ (or ’Knowledge of Catalan’): of course, this is not a real metric, the metric is ’population’, filtered by age and classified by employment status.
It is very wrong to mess up the data model for user interface reasons, but we couldn’t find a better solution for this trade-off. My proposal for Google is on slide 74: forget about topics for grouping metrics; introduce the idea of ’related’ or ’derived’ metrics as a way of narrowing the metrics’ list. 1 year ago
I have a friend at Facebook asking for an explanation to page 72. Can you help?
Best regards
Alf 1 year ago