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Idescat on the Google Public Data Explorer

by Web manager at idescat.cat, badosa.com, dotEPUB.com on Jul 03, 2011

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Idescat on the Google Public Data Explorer: The Why, the What and the near Future.

Idescat on the Google Public Data Explorer: The Why, the What and the near Future.

Google Public Data Explorer Day. Eurostat. Luxembourg, 30 June 2011.

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15 of 5 previous next Post a comment

  • KatjaS Katja Šnuderl, Head of User Support at Statistical Office of the Republic of Slovenia Actually I thought you knew all people who find the GPDE directory at all ;-)

    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 :-)
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  • badosa Xavier Badosa, Web manager at idescat.cat, badosa.com, dotEPUB.com Katja, you are absolutely right when you say that ’reuse, searchability, malleability, mobility outweight the directory list in terms of visibility’. That said, a unique list still does not seem the right model for a dataset catalog (unless that catalog has less than 10 items!).

    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.
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  • KatjaS Katja Šnuderl, Head of User Support at Statistical Office of the Republic of Slovenia Great presentation! I'd just like to comment slides 37 + 39. I believe it is not very relevant how your dataset scale in the Google Public Data directory. Reuse, searchability, malleability, mobility outweight the directory list in terms of visibility. I could speculate that you personally know all people who find your dataset through the directory ;-) 2 years ago
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  • badosa Xavier Badosa, Web manager at idescat.cat, badosa.com, dotEPUB.com GPDE has a good data model. But, IMHO, the user interface maps too closely that data model, which I think can lead to confusion sometimes. For instance, a filter (for example for labor market statistics’ purposes: population > 15 years old) can be treated, in the data model, as a dimension with only 1 category (and this is perfectly OK) but should be shown in the user interface as something different from a regular dimension.

    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.
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  • AlfFyhrlund Alf Fyhrlund at "http://www.linkedin.com/in/alffyhrlund" Dear Xavier,
    I have a friend at Facebook asking for an explanation to page 72. Can you help?
    Best regards
    Alf
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Idescat on the Google Public Data Explorer Idescat on the Google Public Data Explorer Presentation Transcript