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Linking normative data in Converis

Author(s)
Melsheimer, Bastian
Keywords

research information ...

data quality

data standards

Integrated Authority ...

Gemeinsame Normdatei ...

Friedrich-Alexander-U...

Issue Date
November 20, 2019
Publisher
euroCRIS
Type
Poster
Abstract
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is one of the largest German research universities. Our Converis-based current research information system (FAU CRIS) contains 6.000+ projects and 70.000+ publication data sets from a wide variety of research areas. Keywords provided by project PIs, funding sources, authors and publishers rarely follow a common ontology, but use non-structured, non-standardized, subject specific terms instead. In order to answer enquiries from the government and other institutions quickly and concisely, these are not always useful. The German National Library (Deutsche Nationalbibliothek, DNB) offers a common normative ontology (Integrated Authority File, German: Gemeinsame Normdatei, GND) with more than 2 million hierarchically structured entries. The database is in German, but linked to the Library of Congress and other national libraries. By cross-referencing our available terms with the GND data, we aim to create a complete landscape of our university’s research output. We present the available sources for our data, our current working model for this process along with future considerations to expand and automate this effort.
Description
Contains abstract and poster contributed to the Nov'19 euroCRIS Strategic Membership Meeting in Münster
URI
https://dspacecris.eurocris.org/handle/11366/1257
File(s)
Thumbnail Image
Name

WaltherMelsheimer_Linking_Normative_Data_poster.pdf

Description
Poster abstract
Size

407.99 KB

Format

Adobe PDF

Checksum (MD5)

ea8369804d40a375534f08f912dc678d

Thumbnail Image
Name

Linking Normative Data_poster_euroCRIS_MuensterSMM_Walther_Melsheimer.pdf

Description
Poster (PDF version)
Size

735.33 KB

Format

Adobe PDF

Checksum (MD5)

ea0290ce0aa8e8c414732b2f16985eef

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