Dear colleagues, Thank you for everyone who attended my talk earlier today. As announced, I would like to invite you to evaluate the presented application, which was developed as part of a Master's thesis of my student. Please find all information below. We kindly request everyone interested to try out the application and to participate in the survey by Monday, 28 April. Please feel free to forward the survey to any interested colleagues. Thanks and best regards, Soo-Yon ------------------------------------ Dear all, We invite you to participate in a short study to evaluate KONDA, a new web-based tool we developed to support Research Data Management (RDM). KONDA helps researchers turn their datasets and associated documents into structured, reusable knowledge graphs. By leveraging Large Language Models (LLMs), it automatically extracts key entities, identifies relationships, and maps them to existing ontologies, with the goal of making research data more interoperable and machine-readable. What to expect: * Duration ca. 30 minutes * Three-part structure of the survey: - Researcher's background - Trying out KONDA with a provided dataset (and optionally your own) - Feedback on usability and usefulness * All necessary instructions, links, and access details are provided at the beginning of the survey. Start the survey here: https://www.survio.com/survey/d/C1D4X4P7J5A3X9P5Y Your participation in this survey would greatly contribute to the academic quality and to the overall improvement of the tool. Thank you very much for your time and input. Best regards, Martin Görz -- Soo-Yon Kim, M.Sc. (she/her) Chair for Computer Science 5 (Information Systems & Databases) RWTH Aachen Ahornstr. 55 52056 Aachen, Germany Email: kim@dbis.rwth-aachen.de<mailto:kim@dbis.rwth-aachen.de> Tel: +49 (0) 241 80 21514 Web: https://dbis.rwth-aachen.de/dbis/index.php/user/sooyonkim/