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Data Management Platform of SLUB Dresden

Presentation of the project Data Management and ERM of SLUB Dresden and UB Leipzig, together with Avantgarde Labs and AKSW (English version). (http://dmp.slub-dresden.de/en)

Jens Mittelbach

on 27 January 2014

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Transcript of Data Management Platform of SLUB Dresden

Our Goal:
Users are happy because they find precombined knowledge structures rather than unconnected pieces of information.
In the universe of information, everything is unconnected . Connections between individual pieces of information are created in the mind of the observer. This is the process of knowledge construction.

Knowledge is linked information.
Libraries want to assist in the construction of kowledge.
Pieces of information are interconnected in our catalogues and retrieval tools.
Information is reliable and can be
retrieved reliably.
How can we achieve this goal?
How It All Began
Separate Systems
The Future
Semantic Web and Usability
New Presentation Paradigm
Our Open Source Data Manage-ment Platform enables librarians without programming expertise to work with our data. Using a graphic UI they can share their data transformation workflows beyond institutional borders. Existing data management systems can easily be integrated. There is an end to vendor lock-in.
The integration of heterogeneous bibliographic data is very difficult and requires IT-minded librarians or programmers. The enrichment of data is not supported. Problems of data quality are unsolvable. Data is still sparsely linked; tree structures rather than network structures dominate.
OPACs enable string-based searches, especially konwn-item searches. Authority files are a first step towards the concept of Linked Data. Classifications are supposed to enable topic searches. This proves to be difficult, however, because notations are cryptic and not user-friendly.
The graphic UI makes the enrichment and linking of library data as easy as pie. Semantically annotated data will be published as Linked Data "out of the box". Librarians don't need to be experts in vocabularies, ontologies, or data formats.
Data is distributed over separate and completely unconnected systems - data silos. The same object is often referenced mulitiple times. A proper search for information requires expert knowledge about the available retrieval tools. Users need to be schooled extensively.
Users find information presented in its context. The library catalogue turns into an instrument of knowledge exploration. Networked knowledge structures enable users to follow many paths. There are no longer any dead ends where your only option is to go back.
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