Steigern Sie den Erfolg Ihrer Forschung in den Wirtschaftswissenschaften
Der Open Economics Guide der ZBW zeigt Ihnen, wie Sie mit Methoden und Tools von Open Science – wie Open Access und Open Data – Ihre Forschung effizienter und sichtbarer machen.
Einführung in Open Access
Forschung sichtbar machen.
Einführung in Open Data
Forschung überprüfbar machen.
Einführung in Open Educational Resources
Lehre verfügbar machen.
Neues aus dem Blog
Mit aktuellen Tipps und Tutorials rund um Open Science immer auf dem Laufenden bleiben.
Data Stewards: Unterstützung für Forschungsdatenmanagement und Open Data
In den letzten Jahren haben einige Universitäten und Forschungseinrichtungen begonnen, Data...
Reproduzierbarkeit in der Praxis: Tipps und Erfahrungen mit Reproducibility Checks
Reproducibility Checks sind von großem Wert für die wissenschaftliche Qualität. Doch...
Open Science in der Praxis
Forscher:innen berichten aus ihrem Alltag.
Open-Science-Veranstaltungen
Konferenzen, Seminare, Webinare, Online-Panels und mehr!
Overview about programming languages
Programming is the essential tool for managing data sets and conducting data science methods. Handling huge data sets manually is impossible, so we can only prepare, curate, analyze and evaluate them by programmable means. In addition, programming is crucial for documenting, creating graphical output, and presenting results (e.g., on the web). In order to write programs, we need to a programming language – but what is that? What is a programming language, actually? What characterizes a programming language and what is it for? Why is HTML not a programming language and what has Turing to do with it?
Design Science
The goal of the course is to provide Ph.D. students with insights and capabilities that enable them to plan and conduct independent Design Science research. To achieve this goal, students will engage in a number of activities in preparation and during this four-day course, including preparatory readings, lectures, presentations, project work, and in-class discussions. The course format offers an interactive learning experience and the unique opportunity to obtain individualized feedback from leading IS researchers as well as develop preliminary research designs for their own Ph.D. projects.