How can we improve Talis Aspire Reading Lists?

Export dashboard numbers to excel

Ability to be able to export all of the dashboard numbers into a .csv or excel file. At the moment the only way to access this data that I know of is to individually open each list and click on the dashboard. This is very time consuming and we would like to easily compare dashboard numbers across the lists to see which lists are being used. We can then approach lecturers with low dashboard numbers.

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Christian Dobson shared this idea  ·   ·  Flag idea as inappropriate…  ·  Admin →

7 comments

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  • Daz commented  ·   ·  Flag as inappropriate

    How has this not been implemented yet? Even with Dashboard in BETA mode, there is still no export to CSV option...

  • K. Beveridge commented  ·   ·  Flag as inappropriate

    Hello,
    exporting the Dashboard as excel/CSV would save so much time for anyone from either the Library / Admin side, or the lecturers side , who wanted to do an analysis of reading list use. Especially if you were looking at list use across Schools, or over time. Thanks,
    Kirsty

  • Maria O'Hara commented  ·   ·  Flag as inappropriate

    It would also be incredibly helpful if the exported data contained some way of identifying which department a list is linked to on the hierarchy.

  • Adam Price commented  ·   ·  Flag as inappropriate

    We would like to be able export some kind of data about how many intentions or notes have been set across the tenancy and broken down by list. This would be really helpful to help subject librarians target courses in need of information and provide a benchmark.

  • Kevin O'Donovan commented  ·   ·  Flag as inappropriate

    Yes, this would be useful. Since we changed over to https: as a requirement of our Moodle-Aspire LTI to function, our URLs are all over the place, and our Google Analytics figures might be skewed.

  • Clinton Bell commented  ·   ·  Flag as inappropriate

    Being able to export the statistics would also allow for easier comparison and analysis of aggregate statistics, e.g. you could easily calculate the total number of clicks, or the number of lists created by each faculty.

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