Hi, I'm writing this email to get help on about which approach should i use
in order to import data from an internal academic system.

First, let me introduce the situation;
I'm an intern at my university and i work mainly with our OJS and VuFind
systems, i recently started messing around with DSpace because my boss
asked me to give it a look as we're constantly adapting the systems to fit
our use [like migrating things from/to ojs, theme'ing vufind...] and we
need some changes in our dspace inplementation.
I study computer engineering so i have a nice background in the area in
general, i'm saying this because i know there are a lot of people who
manages dspace which are more from an editorial area.

The internal academic system:
We use here a *locally* developed academic system, which is *closed source*
AFAIK (i don't mean to talk about this, but yeah i know ¬¬), it manages
various things from the university and its campus, like grades and etc.

This system is also used to register some academic documents like
masterthesis and doctoratethesis, so is pretty much the fields that DSpace
indexes, like authors, date, type...
PS.: The motivation to do this import is to reutilize this fields, not
having to enter the thesis metadata again, we just import it from the
academic system.

The Problem:
I was told that we have now an oportunity to ask for the developers to
implement something which we may use to harvest this data from our academic
system, but i don't have enough experience with dspace to be certain that
i'm choosing the best aproach and i think i will have to give them a pretty
precise TODO list.

What do I need:
I need to be able to harvest SOME of this academic stuff periodicaly, there
are some types of material that we want to index in Dspace and others not.
I believe this separation could be made by either the harvester side
(choosing some sorte of tags to import) or by the harvested side (only
exposing what's chosen).

My boss told me that a solution like making the academic system export some
sort of xml file and importing it on DSpace would be fine, and we can chose
what to export on the "harvested' side [that is, the academic system].
I understand that this approach requires that i chose some export format
accepted by dspace that better fills my needs, something like using QDC.

I also thought of something like exposing an OAI-PMH interface from the
academic system and making DSpace harvest only what i need (again, by
filtering by some tag), and having the possibility of automating the
proccess.

Can anybody give me some ideias, use case, or anything that i might read to
project this import/export dynamic?


Samuel Henrique O. P. [samueloph]

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