Hi Sue,
just a piece of the puzzle here but that's better than nothing, right?
>From your description it looks like you are looking at the pre-DSpace 1.6
legacy stats that are generated from the DSpace log files.
e.g: http://demo.dspace.org/xmlui/statistics?date=2013-3
In this report, everything in the "All actions performed" does not
necessarily corresponds with a total number of items at the end of the
month.
Just by looking at the field names, I would say that Items Archived in the
General overview column would be your safest bet.
However, I couldn't find exactly in the code how this number is determined.
That code is available here:
https://github.com/DSpace/DSpace/tree/master/dspace-api/src/main/java/org/dspace/app/statistics
best regards,
Bram
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On Mon, Apr 15, 2013 at 7:19 PM, Thornton, Susan M. (LARC-B702)[LITES] <
[email protected]> wrote:
> Hello,****
>
> We are getting ready to implement statistics soon, likely in DSpace
> version 3.0 (we’re getting ready to upgrade from 1.7.1 to 3.0) and I have a
> question. ****
>
> ** **
>
> One of the numbers that our customer wants to track on a monthly
> basis is the number of new “Items” added to the repository. Another one is
> number of times a user actually downloads a bitstream/file from an Item
> page.****
>
> ** **
>
> I looked at the March, 2013 statistics on the DSpace demo site just
> now, and the numbers don’t seem to add up. I see “Items Archived”, “Items
> Created”, “Items Added”, “Items installed”, and more and the numbers for
> each are all different. How do I capture/identify the number of NEW items
> loaded/imported into the site during a specific time period??****
>
> ** **
>
> Thanks in advance,****
>
> Sue ****
>
> ** **
>
> ** **
>
> Sue Walker-Thornton****
>
> Software Developer/Database Administrator****
>
> NASA Langley Research Center - LITES Contract****
>
> [email protected]****
>
> (W) 757-864-2368****
>
> (M) 757-506-9903****
>
> ** **
>
>
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analytics on semi-structured data. The platform includes APIs for building
apps and a phenomenal toolset for data science. Developers can use
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