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DBIS

Soo-Yon Kim

I am interested in all things society, Big Data, and how they impact each other.


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Contact Information:

Lehrstuhl Informatik 5 Building: E2
Room: 6206, 2nd floor
Ahornstraße 55
52074 Aachen

By appointment

  • Research interests:
    • Design of data infrastructures, data ecosystems, cross-organizational data sharing environments
    • Development of best practices, solutions, tools for research data management and enhanced data reuse
    • Data quality management in data ecosystems, adaptive data quality assessment, data quality certification
    • Scientific and industrial domain
    • Societal implications of algorithms, AI, and Big Data

 

  • CV:
    • Graduated with Mathematics M.Sc. at RWTH Aachen University in 06/2021
    • Doctoral researcher at DBIS and DSMA since 09/2021
    • Data steward at Cluster of Excellence "Internet of Production" since 09/2021
    • Equal opportunities representative for the Faculty of Mathematics, Computer Science, and Natural Sciences since 07/2022
    • Member of the Committee for Undergraduate and Postgraduate Scholarships for the Faculty of Mathematics, Computer Science, and Natural Sciences since 07/2022

 

Talks:

  • Unlocking the Potential: LLMs Transforming Research Data Management, Tag der Forschungsdaten in NRW 2023, 14.11.2023, Aachen, Deutschland. https://doi.org/10.18154/RWTH-2023-10498
  • Leveraging Data Management Plans to Improve Data Discoverability in Large-Scale Research Projects, SciDataCon in International Data Week 2023, 25.10.2023, Salzburg, Austria. Abstract
  • "Wer, ich?" - "Ja, du!" Wer unbedingt in der Informatik promovieren sollte, ITCS Darmstadt, 27.04.2023, Darmstadt, Germany. Website
  • What comes after FAIR? Enhancing data reuse through the TRUST principles, FDM-Netzwerktreffen, 08.03.2023, online. Report
  • Is Your Data Fit for Sharing? - Forschungsdatenmanagement im ExC "Internet of Production", Tag der Forschungsdaten in NRW 2022, 15.11.2022, online. Report
  • Requirements for implementing practicable data management plans in large-scale projects, Data Stewardship goes Germany, 13.10.2022, Braunschweig, Germany. Report
  • Strategien zur Einführung von Datenmanagementplänen, FDM-Netzwerktreffen, 09.03.2022, online. Report
  • Entwickeln und Implementieren von Datenmanagementplänen für ingenieurswissenschaftliche Projekte, NFDI4Ing CC-41 Community Meeting 2022, 03.03.2022, online. https://doi.org/10.5281/zenodo.6346778

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