Boost your research success in business studies and economics
The ZBW Open Economics Guide shows you how to use Open Science methods and tools – such as Open Access and Open Data – to make your research more efficient and visible!

Introduction to Open Access
Making research visible.

Introduction to Open Data
Making research verifiable.

Introduction to Open Code
Making research transparent.

Introduction to OER
Making teaching better.
New Blog Posts
Stay up to date with the latest tips and tutorials on Open Science.
R you ready? Getting Started with the Programming Language R [Part 1]
Research in economics and business studies relies heavily on specialised...
Coffee Lecture: How Replication Games Make Reproducibility Tangible in Economics and Business Studies
Replicating a study doesn't just put the robustness of scientific...
Open Science in Practice
Researchers' inside reports from their everyday life.
Open Science Events
Conferences, seminars, webinars, online panels and more!
Reproducible and Transparent AI Research
In this event, we explore to what extent open AI models promote the reproducibility and transparency of research, and the challenges researchers face when developing, publishing, and using such models. Following an introduction, we will approach the topic from three perspectives: reusability in AI, the open publication of AI models, and quality assurance.
ReSeeD – Managing, archiving, and publishing research data
ReSeeD, the central research data repository of Ruhr University Bochum, offers a comprehensive infrastructure for research data management. The repository covers various use cases (e.g. metadata assignment, role and rights management, collaborative work) and is suitable for different types of data. In this workshop, you will explore the basic functionalities of ReSeeD - how to manage and store your data in ReSeeD - from the creation of datasets, collaboration and sharing of datasets, to their archiving and publication - You will gain hands-on experience with ReSeeD, allowing you to directly apply what you've learned.
Contact
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![R you ready? Getting Started with the Programming Language R [Part 1]](https://openeconomics.zbw.eu/wp-content/uploads/2026/10/R-you-ready-Teil-1-ENG.png)












