
About
Dr. David Schindler is a Doctoral Researcher at the Department of Communications Engineering, University of Rostock, Germany. His work focuses on text mining and natural language processing applied to research data management within the Collaborative Research Center ELAINE. He holds a B.Sc. in Computer Science from the University of Tübingen and an M.Sc. from the University of Rostock, where his master’s thesis addressed identifying research artefact mentions in scientific literature.
Research interests include provenance modeling, data quality analysis, and knowledge graph-based approaches for software and data tracking in scientific publications. His contributions span quantitative studies of software citation practices and deep learning applications for behavioral assessment from audio recordings.
Publications highlight interdisciplinary work in computational linguistics, scientific metadata systems, and open science initiatives. He has participated in projects like the BMBF-funded insideDEM and the SFB 1270 ELAINE, focusing on automated text processing for biomedical literature analysis and quality control tools for research data.
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