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    A memory institution for the digital age
    (Novosibirsk : Red.-Izdat. Otdel, 2020) Arndt, Susanne; Begoin, Mathias; Runnwerth, Mila
    The German National Library for Science and Technology (TIB) seizes the opportunity of an epochal change into the Digital Age, inter alia, by maintaining a prestigious research department covering the areas data science & digital libraries, visual analytics, scientific data management, knowledge infrastructures, learning & skill analytics, open science, and non-textual media. Without neglecting the original mission of collecting and curating literature for a widespread access to scientific information, TIB merges well-established processes with intelligent assistance tools. The Specialised Information Service for Mobility and Traffic Science (FID move) is one example of combining the mentioned research areas in order to build a user-centred subject-specific research infrastructure to support and shape tomorrow’s scientific work. We give a detailed introduction to the project’s action fields: web service platform, information supply with a focus on open access, strategy & structure for reusable research data, research community exchange & networking, communication strategies for the public & for scientists. Exemplary, we present the ongoing activities in building a comprehensive knowledge organisation system for e-mobility.
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    Preserving information on mathematical software via web archives
    (Zenodo, 2018) Holzmann, Helge; Runnwerth, Mila
    Software is an essential ingredient in mathematical research especially in numerical analysis, mathematical modelling, and statistics. However, the traditional publication process has not come up with a satisfyingly neat solution to reference software yet, taking into account its dynamics in order to allow for reproducibility. While software on GitHub might be ”cited” by linking to the repository including the precise commit given by its SHA signature, commercial software can only be referenced by its web presence most of the time. In 2016, we evaluated swMath, a database for information on mathematical software, on how a software’s archived web site reflects its development. We found, although some web sites are already archived and indeed provide a temporal overview of their corresponding software’s development including documentation, there is need for improvement. In 2017, we presented a demo framework to archive and cite software homepages adding a time stamp. Our vision is a service to archive semantically linked web sites of mathematical software on the basis of swMATH. The resulting archive contains all information on the software at a specific time and can be cited in a traditional publication via DOI.