Large Language Models in Labor Market Research Data Management : Potentials and Limitations

Dörpinghaus, Jens [Verfasser]; Tiemann, Michael [Verfasser]

Large Language Models in Labor Market Research Data Management : Potentials and Limitations

bibb.id	784677
bibb.participation	BIBB-Mitarbeiter	de
dc.contributor.author	Dörpinghaus, Jens [Verfasser]	de
dc.contributor.author	Tiemann, Michael [Verfasser]	de
dc.date.accessioned	2026-04-08T06:25:33Z
dc.date.available	2026-04-08T06:25:33Z
dc.date.issued	2025
dc.description.abstract	"This contribution explores the application of large language models (LLMs) in labour market research data management, particularly in occupational data analysis. Based on our empirical studies of the automated classification of job titles and critical evaluations of AI-assisted text interpretation, we contend that, although LLMs present promising opportunities to improve research processes, such as providing query assistance, offering annotation support, and facilitating preliminary content structuring, they are inadequate for consistent data management, reliable analysis, and interpretative depth. Our findings suggest that, while LLMs can support research workflows as interactive tools, they cannot replace methodological approaches in data-driven social science research. Our aim is to contribute to the discussion on the scope and boundaries of LLM-based tools in research data management." (Authors' abstract, BIBB-Doku)	de
dc.description.statementofresponsibility	Jens Dörpinghaus, Michael Tiemann	de
dc.description.version	referiert	de
dc.format.extent	Seite 31-36	de
dc.format.medium	Elektronische Ressource	de
dc.format.medium	Sammelbandbeitrag	de
dc.identifier.uri	https://bibb-dspace.bibb.de/jspui/handle/BIBB/784677
dc.language.iso	en	de
dc.rdacarrier.code	cr	de
dc.rdacarrier.source	rdacontent	de
dc.rdacarrier.term	Online-Ressource	de
dc.rdacontent.code	txt	de
dc.rdacontent.source	rdacontent	de
dc.rdacontent.term	Text	de
dc.rdamedia.code	c	de
dc.rdamedia.source	rdacontent	de
dc.rdamedia.term	Computermedien	de
dc.relation.ispartof	Proceedings of the Workshop on Large Language Models for Research Data Management?! (LLMs4RDM 2025) co-located with the INFORMATIK Festival 2025 (55th Annual Conference of the German Informatics Society), September 18, 2025. Potsdam, Germany / Magnus Bender [Hrsg.] ; Sylvia Melzer [Hrsg.] ; Ralf Möller [Hrsg.] ; Stefan Thiemann [Hrsg.]
dc.rights	Namensnennung 4.0 International	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.classification	S 6 Berufsbereiche	de
dc.subject.classification	G 2.2.1 Technologisierung	de
dc.subject.classification	T 3 Forschungsmethoden	de
dc.subject.ddc	370	de
dc.subject.ddc	300	de
dc.subject.other	Arbeitsmarktforschung	de
dc.subject.other	Berufsforschung	de
dc.subject.other	Forschungsdaten	de
dc.subject.other	Datenmanagement	de
dc.subject.other	Berufsklassifikation	de
dc.subject.other	Datenanalyse	de
dc.subject.other	Textanalyse	de
dc.subject.other	Automatisierung	de
dc.subject.other	Künstliche Intelligenz	de
dc.subject.other	Large Language Model
dc.title	Large Language Models in Labor Market Research Data Management : Potentials and Limitations	de

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Proceedings of the Workshop on Large Language Models for Research Data Management?! (LLMs4RDM 2025) co-located with the INFORMATIK Festival 2025 (55th Annual Conference of the German Informatics Society), September 18, 2025. Potsdam, Germany / Magnus Bender [Hrsg.] ; Sylvia Melzer [Hrsg.] ; Ralf Möller [Hrsg.] ; Stefan Thiemann [Hrsg.]
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