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Sensor management system (SMS): Open-source software for FAIR sensor metadata management in earth system sciences

Lorenz, Christof ORCID iD icon 1; Brinckmann, Nils; Bumberger, Jan; Hanisch, Marc; Kuhnert, Tobias; Loup, Ulrich; Moorthy, Rubankumar; Obsersteiner, Florian; Schäfer, David; Schnicke, Thomas
1 Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU), Karlsruher Institut für Technologie (KIT)

Abstract:

Deriving reliable conclusions and insights from environmental observations urgently requires enrichment of the data with consistent and comprehensive metadata, including time-resolved context such as changing deploy ments, configurations, and maintenance actions. We have therefore developed the Sensor Management System (SMS), which provides a feature-rich platform for modeling even the most complex sensor systems and managing all sensor-related information across their life cycle. Each entity is described via well-defined terms like Devices, Platforms, and Configurations, as well as Sites that are further enhanced with attributes like instrument manufac turers, contact information, or measured quantities and complemented by a continuous history of system-related actions. By further linking the SMS to subsequent systems and services like a registry for Persistent Identifiers (PIDs) or controlled vocabularies (CVs) and establishing a community of end-users, the SMS provides the central element of a digital ecosystem and a transferable solution for practical sensor management across institutional contexts that fosters a more consistent, sustainable, and Findable, Accessible, Interoperable, and Reusable (FAIR) provision of sensor-related metadata.


Verlagsausgabe §
DOI: 10.5445/IR/1000195895
Veröffentlicht am 04.08.2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 09.2026
Sprache Englisch
Identifikator ISSN: 2352-7110
KITopen-ID: 1000195895
Erschienen in SoftwareX
Verlag Elsevier
Band 35
Seiten 102858
Nachgewiesen in Web of Science
OpenAlex
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