Knowledge Annotation Within Research Data Management System for Oxygen-Free Production Technologies

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Iryna Mozgova (1), Osman Altun (1), Tatyana Sheveleva (2), Andre Castro (2), Pooya Oladazimi (2), Oliver Koepler (2), Roland Lachmayer (1), S
Series: DESIGN
Institution: 1: Leibniz Universit
Section: Design Support Tools and Methods
Page(s): 525-532
DOI number: https://doi.org/10.1017/pds.2022.54
ISSN: 2732-527X (Online)

Abstract

The comprehensive implementation of digital technologies in product manufacturing leads to changes in engineering processes and requires new approaches to data management. An important role belongs to the processes of organizing the collection, storage and reuse of research data obtained and used in the process of product, system or technology development, taking into account the FAIR data principles. This article describes a Research Data Management System for the organization of documentation and measurement requests in the research and development of new oxygen-free production technologies.

Keywords: research data management, knowledge management, semantic modelling, FAIR data principles, design support system