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Geodata Infrastructure for the Management of Railway Assets-Related Research Data

Shankar, Sangeetha und Fischer Prestes, Laura und Patil, Akhil Jayant und Heinbockel, Julia und Uschok, Angela R. und Schubert, Lucas Andreas (2023) Geodata Infrastructure for the Management of Railway Assets-Related Research Data. NFDI 1st Conference on Research Data Infrastructure, 2023-09-12 - 2023-09-14, Karlsruhe, Germany. doi: 10.5281/zenodo.8369224.

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Kurzfassung

A system containing updated information on railway assets, including their condition, contributes significantly to the maintenance of railway networks and to ensure continuous service. The Institute of Transportation Systems (DLR-TS) of the German Aerospace Center (DLR) carries out research in the area of condition monitoring using in-service trains. Massive amounts of measurement data are collected from various sensors mounted railway vehicles. There is an ever-growing amount of data, as several terabytes of measurement data are collected every year as a part of multiple projects. Furthermore, static and semi-static data on railway networks such as the topology of the network, the infrastructure elements in the network and their conditions are also gathered. Here arises a need for sustainable management of the raw datasets and the generated results to make them Findable, Accessible, Interoperable and Reusable (FAIR) over time to researchers within the DLR, and other stakeholders such as project partners, funding organizations and the public. This poster addresses the topic of management of railway infrastructure and measurement data through the development of a system called "Transportation Infrastructure Data Platform" (TRIDAP) that enables the storage, analysis and sharing of data in a FAIR-compatible way. The platform is setup using open-source software such as PostgreSQL, Apache Kafka, Apache Spark, GeoServer, GeoNetwork and Prometheus to name a few. DLR-TS is actively developing this platform. Datasets from DLR-TS and few other DLR institutes are planned to be stored in the platform during the course of the DLR-funded cross-domain project "Digitaler Atlas 2.0".

elib-URL des Eintrags:https://elib.dlr.de/195774/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Geodata Infrastructure for the Management of Railway Assets-Related Research Data
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Shankar, SangeethaSangeetha.Shankar (at) dlr.dehttps://orcid.org/0000-0003-0387-7740143248678
Fischer Prestes, LauraLaura.Fischer (at) dlr.dehttps://orcid.org/0000-0002-2432-9076NICHT SPEZIFIZIERT
Patil, Akhil JayantAkhil.Patil (at) dlr.dehttps://orcid.org/0000-0003-0035-8427NICHT SPEZIFIZIERT
Heinbockel, JuliaJulia.Heinbockel (at) dlr.dehttps://orcid.org/0009-0002-3718-3544NICHT SPEZIFIZIERT
Uschok, Angela R.Angela.Uschok (at) dlr.dehttps://orcid.org/0000-0002-8788-4237143248681
Schubert, Lucas AndreasLucas.Schubert (at) dlr.dehttps://orcid.org/0000-0002-5516-5326NICHT SPEZIFIZIERT
Datum:22 September 2023
Referierte Publikation:Nein
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
DOI:10.5281/zenodo.8369224
Status:veröffentlicht
Stichwörter:Data Management, Geodata Infrastructure, Railway Infrastructure
Veranstaltungstitel:NFDI 1st Conference on Research Data Infrastructure
Veranstaltungsort:Karlsruhe, Germany
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:12 September 2023
Veranstaltungsende:14 September 2023
Veranstalter :German National Research Data Infrastructure (NFDI)
HGF - Forschungsbereich:keine Zuordnung
HGF - Programm:keine Zuordnung
HGF - Programmthema:keine Zuordnung
DLR - Schwerpunkt:Digitalisierung
DLR - Forschungsgebiet:D DAT - Daten
DLR - Teilgebiet (Projekt, Vorhaben):D - Digitaler Atlas 2.0
Standort: Berlin-Adlershof , Braunschweig
Institute & Einrichtungen:Institut für Verkehrssystemtechnik
Institut für Verkehrssystemtechnik > Informationsgewinnung und Modellierung, BS
Institut für Verkehrssystemtechnik > Informationsgewinnung und Modellierung, BA
Hinterlegt von: Shankar, Sangeetha
Hinterlegt am:29 Sep 2023 13:42
Letzte Änderung:24 Apr 2024 20:56

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