A FAIR Future for Engineering Sciences - Linking an RDM Community through a Scientific Journal

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

Research outcomes and scholarly publishing: FAIR principles as quality assessment

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

Urban Data Platforms and Urban Critical Infrastructure

Urban data platforms (UDP) are currently being launched in many cities as a part of their smart city strategies. They gather and provide access to data from various urban domains, including critical infrastructure. We performed a survey about UDPs in Germany. Focusing on their potential for improving resilience of the city (resilience through ICT) and the resilience of the UDPs themselves (resilience for ICT), our key findings were: ▪ UDP providers tend to focus on normal conditions rather than crisis ▪ critical infrastructure is often not covered ▪ lack of focus on crisis shows in the design of the UDPs as wel

Open Peer Review for a Transparent and Engaging Scientific Environment: Towards a FAIR Journal

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

Water Distribution in a Socio-Technical System: Resilience Assessment for Critical Events Causing Demand Relocation

The data set contains raw simulation data as well as aggregated results for the study "Water Distribution in a Socio-Technical System: Resilience Assessment for Critical Events Causing Demand Relocation" in MDPI water 2021, 13(15) (DOI: https://doi.org/10.3390/w13152062). The data set comprises three hdf5 files with results from simulations for each of the three sheltering schemes as well as three further hdf5 files with results aggregated with regard to disruption origin. One further hdf5 file contains results from the centralied sheltering scheme aggregated with regard to sheltering node. Three further hdf5 file consist of results showing unserviced nodes in the water network. The aggregated results files are the basis for all results graphics in the publication. The plotting scripts can be found in the related software repository

Urbane Datenplattformen in Deutschland

Tabelle mit urbanen Datenplattformen und Auswahl der Städt

Urbane Datenplattformen und Resilienz der Städte: Status quo in Deutschland und Empfehlungen für kommunale Akteure

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

Supplementary Material (Data): Do Resilience Metrics of Water Distribution Systems Really Assess Resilience? A Critical Review

This dataset contains the data for the paper "Do Resilience Metrics of Water Distribution Systems Really Assess Resilience? A Critical Review". It contains the table with the categoriation of WDS resilience metrics and a table with literature search protocol

Dataset on Citizens' Preparedness, Self-Organization, and Influence of Infrastructure Failures during the European Flood of 2021

This dataset contains data and statistical scripts of an online survey in 168 affected ZIP codes reaching 908 citizens from with 404 self-ascribed themselves as personally affected by the flooding in Germany in summer 2021 as base for the submission of the paper "Sharing is Caring: Neighborhood Self-Organization and Infrastructure Dependencies in the Flooding 2021 in Germany".initia