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Digitalisierung in Städten ist ein globaler Trend. Auch in der Bundesrepublik Deutschland streben viele Städte an, sogenannte Smart Cities zu werden. Um dieses Ziel zu erreichen, werden in Städten zunehmend Daten zu verschiedenen Themenbereichen gesammelt – mit der Absicht, den Informationsaustausch zwischen Behörden, Bürgerinnen und Bürgern und anderen städtischen Akteuren einfacher, effizienter und transparenter zu gestalten. Zu diesem Zweck werden häufig sogenannte urbane Datenplattformen eingesetzt. In diesem Praxisdossier wird die Rolle von urbanen Datenplattformen im Kontext von Resilienz und Smart Cities untersucht. In Kooperation zwischen dem LOEWE-Zentrum emergenCITY und Haselhorst Associates wurden zu diesem Zweck zwei Forschungsfragen definiert: 1) Können urbane Datenplattformen dazu beitragen, die Resilienz der Stadt zu erhöhen? (Resilienz durch IKT) und 2) Sind die existierenden urbanen Datenplattformen in sich resilient? (Resilienz für IKT). Zur Beantwortung dieser Fragen wurden über 400 deutsche Städte hinsichtlich des Vorhandenseins oder der geplanten Einführung einer städtischen Datenplattform untersucht. Ergänzt wurden die Ergebnisse durch eine Analyse der Smart-Cities-Modellprojekte. Basierend auf der Analyse werden 6 Empfehlungen für kommunale Akteure formuliert.

The emergence of FAIR data management (FDM) is being witnessed in more and more disciplines, including the engineering sciences. However, until recently, little academic credit has been given for the work that sound FDM practices in research publications require. Moreover, there has been a lack of space where the engineering sciences community could discuss and share experiences, ideas and advice about this topic. In academia, a suitable platform for such information exchange are journals. In this publication, the concept behind ing.grid, the newly established open access journal for FDM in engineering sciences, is presented, illuminating how these challenges can be addressed by providing a platform for the publication of manuscripts, research data, and software as well as by incorporating open peer review.

The poster informs about the ing.grid journal, scholarly-led journal for FAIR data management in engineering sciences. ing.grid adheres to the Open Access, Open Review and Open Data principles.

Curating research data to ensure it is findable, accessible, interoperable and reusable (FAIR) is gaining increasing importance in engineering sciences. ing.grid – FAIR Data Management in Engineering Sciences is a Diamond Open Access journal that provides a publishing platform for this field. As this field is being established, scientific discussion is of vital importance. Today, peer review hides much of the scientific discussion from the community and the public. In contrast, ing.grid uses an open peer review process that shows reviews, author responses and editor comments alongside the submitted preprints. By bringing the peer review process into the open, ing.grid ensures transparency and accountability and engages the relevant community. The hybrid open peer review concept is put into practice using the Janeway preprint server and journal platforms: After submission via the preprint repository, reviewers, editors, authors and community members post comments. The review comments are specially flagged. Once manuscripts are accepted, they are sent to the journal through a custom-built interface and typesetting. Finally, they are published as peer reviewed articles. ing.grid relies on the support of the publishing services provided by the University and State Library at Technical University of Darmstadt (Germany). The library facilitates the TUjournals press site for scholar-led Diamond Open Access journals. This cooperation allows ing.grid to draw on the library’s cataloguing and long term archiving experience. Moreover, common effort is made to develop a knowledge graph representing the journal. This will lead to improved discovery of published research and the transparency of interconnections between different contributions.

This study presents an exploratory, historically-informed approach to assessing resilience for critical events that cause demand relocation within a water distribution system (WDS). Considering WDS as an interdependent socio-technical system, demand relocation is regarded as a critical factor that can affect resilience similarly to the more commonly analyzed component failures such as pipe leaks and pump failures. Critical events are modeled as events during which consumer nodes are evacuated within a perimeter varying in size according to a typical length scale in the studied network. The required demand drops to zero in the evacuated area, and the equivalent demand is relocated according to three sheltering schemes. Results are presented for analyzing the effect of the size of the evacuated area, the feasibility of sheltering schemes, vulnerability of particular parts of the city as well as the suitability of network nodes to accommodate relocated demand using a suitable resilience metric. The results provided by this metric are compared with those drawn from common graph-based metrics. The conclusions are critically discussed under the consideration of historical knowledge to serve as a basis for future research to refine resilience assessment of socio-technical systems.