Sven Lieber

Data Manager

Ghent, East Flanders, Belgium
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Summary

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Senior
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Top School
Sven Lieber is a Data Manager and Knowledge Scientist with nine years' experience turning heterogeneous cultural and research data into FAIR, reusable assets and knowledge graphs. Based at the Royal Library of Belgium, he leads data workflow design and implementation for projects like MetaBelgica and BELTRANS, blending research data management with practical linked-data engineering using tools such as Wikibase and RML. He holds a PhD in Computer Science and a track record from academic research at IDLab to applied library innovation, regularly publishing and reviewing for journals and conferences in Semantic Web and Open Science. Sven communicates complex results to both technical and non-technical audiences—he also curates a bi-weekly FAIR Data Digest newsletter that signals his commitment to community knowledge sharing. An engineer at heart, his background ranges from PL/SQL and Perl tooling to building FAIR knowledge graphs, reflecting a rare mix of hands-on scripting, formal research training, and institutional data stewardship.
code9 years of coding experience
job5 years of employment as a software developer
bookMaster of Science (M.Sc.), Informatik, 1.4, Master of Science (M.Sc.), Informatik, 1.4 at Albert-Ludwigs-Universität Freiburg im Breisgau
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Ghent University
bookBachelor of Engineering (B.Eng.), Communication and Software Engineering, 1.8, Bachelor of Engineering (B.Eng.), Communication and Software Engineering, 1.8 at Hochschule Albstadt-Sigmaringen
bookFachhochschulreife, Fachhochschulreife at Kaufmännische Schule Hechingen
languagesGerman, English, Dutch
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Github Skills (109)

thesaurus10
corpus9
user-manager9
csv9
corpus-linguistics9
linguistics9
linked-data9
kotlin9
latent-dirichlet-allocation9
java9
normalization9
rml9
android-app9
sparql9
querying9

Programming languages (9)

TypeScriptJavaDockerfileShellJavaScriptHTMLRubyPython

Github contributions (5)

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Contributions:705 commits, 84 PRs, 426 pushes in 1 year 6 months
csvlanguage-processingcorpus-linguisticsdutch-languageknowledge-graph
kbrbe/work-set-clustering

Oct 2023 - Jan 2025

A Python script to perform a clustering based on descriptive keys.
Contributions:7 releases, 11 PRs, 21 pushes in 1 year 3 months
bibliographic-dataclusteringfrbrfrbrizationifla-lrm
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