[OPEN-ILS-GENERAL] ***SPAM*** Re: sharing serial prediction patterns

[Ian Walls]

Tara,


Awesome idea!  There is no reason every library should have to come up with
this stuff from scratch.

I've been thinking about something like this for Koha, but my explorations
were pretty specific to the Koha database.  Coming up with a format (perhaps
based on MFHD, or perhaps in a new XML structure that can be mapped to MFHD)
that both Koha and Evergreen can use will go a long way towards making open
source ILS systems that much more attractive to academic and special
libraries.

I'd love to be part of whatever workgroup we can put together on this.

Cheers,


-Ian

On Thu, Sep 1, 2011 at 12:42 AM, Tara Robertson <
information.detective at gmail.com> wrote:

> Hi,
>
> This is a half baked idea that has two parts.
>
> First, I'm wondering if there's a way we could share serial prediction
> patterns between Evergreen libraries. It seems a bit silly that we're
> all setting up the same prediction patterns for many of the same
> titles. The Economist (or whatever magazine/serial) has the same
> prediction pattern regardless of the library. It would be awesome if
> we could share this. I have a limited understanding of MFHD (David
> Fiander's webinar was really useful:
> http://evergreen-ils.org/downloads/EvergreenMFHD2009-07-21.wmv) but
> have spent some time trying to set up prediction patterns using the
> Alternate Serials Control View. If there was a public repository of
> the MFHD for various titles, could all save time by copy/pasting the
> prediction pattern instead of using the wizard? If there was a way to
> query this database and pull in the prediction pattern that would be
> even more awesome.
>
> Is this even possible?
>
> I've been told that libraries don't share serial prediction patterns
> because most ILSes store this in a proprietary format, which makes it
> impossible to share, and difficult to migrate. I work in a small
> library, so post-Evergreen migration we are having to manually set up
> prediction patterns for about 150 titles. I imagine this would not be
> possible for larger libraries, and could be a barrier to migrating to
> Evergreen.
>
> Second, I wonder if it would be possible to share serial prediction
> patterns more widely, regardless of the ILS? Would it be possible to
> share prediction patterns like we share MARC records?
>
> Cheers,
> tara
>



-- 
Ian Walls
Lead Development Specialist
ByWater Solutions
Phone # (888) 900-8944
http://bywatersolutions.com
ian.walls at bywatersolutions.com
Twitter: @sekjal
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