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Part 1: Document Description
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Citation |
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Title: |
Quinex and Data Extraction from Scientific Publications |
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Identification Number: |
doi:10.26165/JUELICH-DATA/HFGWDB |
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Distributor: |
Jülich DATA |
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Date of Distribution: |
2026-09-07 |
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Version: |
1 |
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Bibliographic Citation: |
Jan Göpfert; Patrick Kuckertz; Titan Hartono; Jann Michael Weinand, 2026, "Quinex and Data Extraction from Scientific Publications", https://doi.org/10.26165/JUELICH-DATA/HFGWDB, Jülich DATA, V1 |
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Citation |
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Title: |
Quinex and Data Extraction from Scientific Publications |
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Identification Number: |
doi:10.26165/JUELICH-DATA/HFGWDB |
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Authoring Entity: |
Jan Göpfert (Forschungszentrum Jülich GmbH, Institute of Climate and Energy Systems, Jülich Systems Analysis; RWTH Aachen University, Faculty of Mechanical Engineering) |
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Patrick Kuckertz (Forschungszentrum Jülich GmbH, Institute of Climate and Energy Systems, Jülich Systems Analysis) |
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Titan Hartono (Forschungszentrum Jülich GmbH, Institute of Climate and Energy Systems, Jülich Systems Analysis) |
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Jann Michael Weinand (Forschungszentrum Jülich GmbH, Institute of Climate and Energy Systems, Jülich Systems Analysis) |
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Distributor: |
Jülich DATA |
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Access Authority: |
Jan Göpfert |
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Depositor: |
Kuckertz, Patrick |
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Date of Deposit: |
2026-06-22 |
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Study Scope |
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Keywords: |
Computer and Information Science, quantitative information extraction, scientific literature mining, small language models, automated literature review, structured data extraction, scientific NLP |
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Abstract: |
This presentation introduces Quinex, an open-source framework for the automated extraction of quantitative information from scientific literature. It demonstrates how quantitative statements embedded in publications can be transformed into structured, reusable datasets to support literature analysis, research data management, and data-driven scientific workflows. The presentation was given by Patrick Kuckertz as part of the 90th Jour Fixe FDM organized by fdm.nrw. <h3>Acknowledgements</h3> The authors would like to thank the German Federal Government, the German State Governments, and the Joint Science Conference (GWK) for their funding and support as part of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number: 442146713. This work was also supported by the Helmholtz Association under the program "Energy System Design". |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.1016/j.xinn.2026.101391 |
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Bibliographic Citation: |
Göpfert, Jan, et al. "Quinex: Quantitative information extraction from text using open and lightweight LLMs." The Innovation (2026). |
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Label: |
2026-06-10_Quinex_fdm-nrw.pptx |
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Notes: |
application/vnd.openxmlformats-officedocument.presentationml.presentation |