Journal:Establishing reliable research data management by integrating measurement devices utilizing intelligent digital twins
| Full article title | Establishing reliable research data management by integrating measurement devices utilizing intelligent digital twins |
|---|---|
| Journal | Sensors |
| Author(s) | Lehmann, Joel; Schorz, Stefan; Rache, Alessa; Häußermann, Tim; Rädle, Matthias; Reichwald, Julian |
| Author affiliation(s) | Mannheim University of Applied Sciences |
| Primary contact | Email: j dot lehmann at hs dash mannheim dot de |
| Year published | 2023 |
| Volume and issue | 23(1) |
| Article # | 468 |
| DOI | 10.3390/s23010468 |
| ISSN | 1424-8220 |
| Distribution license | Creative Commons Attribution 4.0 International |
| Website | https://www.mdpi.com/1424-8220/23/1/468 |
| Download | https://www.mdpi.com/1424-8220/23/1/468/pdf (PDF) |
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This article should be considered a work in progress and incomplete. Consider this article incomplete until this notice is removed. |
Abstract
One of the main topics within research activities is the management of research data. Large amounts of data acquired by heterogeneous scientific devices, sensor systems, measuring equipment, and experimental setups have to be processed and ideally managed by FAIR (findable, accessible, interoperable, and reusable) data management approaches in order to preserve their intrinsic value to researchers throughout the entire data lifecycle. The symbiosis of heterogeneous measuring devices, FAIR principles, and digital twin technologies is considered to be ideally suited to realize the foundation of reliable, sustainable, and open research data management. This paper contributes a novel architectural approach for gathering and managing research data aligned with the FAIR principles. A reference implementation as well as a subsequent proof of concept is given, leveraging the utilization of digital twins to overcome common data management issues at equipment-intense research institutes. To facilitate implementation, a top-level knowledge graph has been developed to convey metadata from research devices along with the produced data. In addition, a reactive digital twin implementation of a specific measurement device was devised to facilitate reconfigurability and minimized design effort.
Keywords: cyber–physical system, sensor data, research data management, FAIR, digital twin, research 4.0, knowledge graph, ontology
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This presentation is faithful to the original, with only a few minor changes to presentation. In some cases important information was missing from the references, and that information was added.
