Schindler, David 1994- VerfasserIn aut Spors, Sascha Michael 1972- AkademischeR BetreuerIn dgs Krüger, Frank 1980- AkademischeR BetreuerIn dgs Dietze, Stefan 1978- AkademischeR BetreuerIn dgs Universität Rostock Grad-verleihende Institution dgg Universität Rostock Fakultät für Informatik und Elektrotechnik Grad-verleihende Institution dgg text theses Text Hochschulschrift gw 2024 monographic XA-DE Rostock Universität Rostock publisher 2024 Rostock Universitätsbibliothek Rostock distributor eng ger

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application/pdf 1 Online-Ressource (215 Seiten) Illustrationen, Diagramme This thesis develops a method to systematically analyze software in scientific publications based on an automatic information extraction pipeline applied at a large scale. Software has become increasingly important in data-driven research and plays an integral role in today's science. Knowledge of how software is applied in scientific investigations is essential to the scientific community. However, knowledge of software application in research is sparse, with a majority of information on software usage being informally described in the textual descriptions of scientific research.<eng> Open Access Namensnennung 4.0 International vorgelegt von David Schindler GutachterInnen: Sascha Spors (Universität Rostock) ; Frank Krüger (Hochschule Wismar) ; Stefan Dietze (Heinrich-Heine-Universität Düsseldorf) Dissertation Universität Rostock 2024 004 020 005.1 004 https://purl.uni-rostock.de/rosdok/id00004777 https://doi.org/10.18453/rosdok_id00004777 https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00004777-1 https://d-nb.info/136541244X/34 Rostock : Universität Rostock, 2024

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Druck-Ausgabe (DE-627)1925265846 Schindler, David, 1994 - urn:nbn:de:gbv:28-rosdok_id00004777-1 10.18453/rosdok_id00004777 1518949969 rda DE-627 250509 1925264742 20251227T185037.0 Converted from MARCXML to MODS version 3.8 using MARC21slim2MODS3-8_XSLT1-0.xsl (Revision 1.174 20250328) ger