CESAER - the Conference of European Schools for Advanced Engineering Education and Research - is a non-profit international association of leading European universities of science and technology and engineering schools/faculties at comprehensive universities and university colleges.
The growing digitization and networking process within our society has a large influence on all aspects of everyday life. Large amounts of data are being produced permanently, and when these are analyzed and interlinked they have the potential to create new knowledge and intelligent solutions for economy and society. Big Data can make important contributions to the technical progress in our societal key sectors and help shape business. What is needed are innovative technologies, strategies and competencies for the beneficial use of Big Data to address societal needs.
swMATH is a freely accessible, innovative information service for mathematical software. swMATH not only provides access to an extensive database of information on mathematical software, but also includes a systematic linking of software packages with relevant mathematical publications.
The Journal of Open Source Software (JOSS) is an academic journal with a formal peer review process that is designed to improve the quality of the software submitted. Upon acceptance into JOSS, a CrossRef DOI is minted and we list your paper on the JOSS website.
Opening Reproducible Research is a DFG-funded research project by Institute for Geoinformatics (ifgi) and University and Regional Library (ULB), University of Münster, Germany
Progress in scientific research is dependent on the quality and accessibility of software at all levels and it is now critical to address many new challenges related to the development, deployment, and maintenance of reusable software. In addition, it is essential that scientists, researchers, and students are able to learn and adopt a new set of software-related skills and methodologies.
The Journal of Open Research Software (JORS) features peer reviewed Software Metapapers describing research software with high reuse potential. We are working with a number of specialist and institutional repositories to ensure that the associated software is professionally archived, preserved, and is openly available. Equally importantly, the software and the papers will be citable, and reuse will be tracked.
JORS also publishes full-length research papers that cover different aspects of creating, maintaining and evaluating open source research software. The aim of the section is to promote the dissemination of best practice and experience related to the development and maintenance of reusable, sustainable research software.
Starting in January 2016 and funded for three years by the German Research Foundation (DFG), project CONQUAIRE – Continuous Quality Control for Research Data to Ensure Reproducibility will focus on reproducibility and quality control during the research process in an institutional setting.
F. Kleinkopf. Schriftenreihe des Archivs für Urheber- und Medienrecht Nomos, Baden-Baden, (2022)Immer häufiger werden digitale Methoden wie das Text- und Data-Miningzur Erkenntnisfindung eingesetzt, das die Möglichkeit bietet, Musterin großen Datensätzen zu erkennen und zugleich Grundlage desmaschinellen Lernens ist. Die Arbeit betrachtet diese Methode ausurheberrechtlicher Perspektive und berücksichtigt dabei die Bedeutungund Steuerungswirkung urheberrechtlicher Schranken, die besondereInteressenlage im Wissenschaftsurheberrecht sowie interdisziplinäreErkenntnisse. In der umfassenden Analyse wird die komplexeRechtsmaterie strukturiert, es werden Defizite aufgezeigt und konkreteLösungsvorschläge unterbreitet. Ein Schwerpunkt liegt dabei auf derlangfristigen Zugänglichkeit der erzeugten Forschungsdaten..
L. Käde. Datenrecht und neue Technologien Nomos, Baden-Baden, 1 edition, (2021)Die interdisziplinäre Analyse nimmt konkreten Bezug zu in derKI-Entwicklung eingesetzten Machine Learning (ML)-Frameworks und gibtpraxisrelevante Antworten auf damit zusammenhängendeurheberrechtliche Fragen. Insbesondere der Datenbank(werk)schutz fürML-Modelle steht dabei im Fokus. Die Arbeit bietet außerdem eineEinschätzung der Relevanz von Text und Data Mining-Schranken imKI-Kontext. Mit Blick auf die Erzeugung von Werken durch bzw. mithilfevon ML wird die Zurechnungsproblematik erörtert, eine Lösungvorgeschlagen und eine Hilfestellung zur Ermittlung eines Urhebersangeboten. Darüber hinaus erfolgt hinsichtlich etwaiger KI-Autonomieeine Einführung in die Zusammenhänge von Intelligenz, Kreativitätund Computational Creativity..
A. Schreiber, and R. Struminski. Universal Access in Human--Computer Interaction. Design and Development Approaches and Methods: 11th International Conference, UAHCI 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9--14, 2017, Proceedings, Part I 11, page 444--455. Springer, (2017)