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.

Es ist ein Stiftekorb zusehen, der Open Science Tools symbolisiert.

Free Open Science Tools

A whole range of free and useful Open Science tools are available to support you in making your research even more efficient. Take a look at our tool catalogue!

Find tools for:

New Blog Posts

Stay up to date with the latest tips and tutorials on Open Science.

Open Science Events

Conferences, seminars, webinars, online panels and more!

Publishing beyond the market

16. January 2026
Leiden (The Netherlands) & Online
Organised by: Universiteit Leiden

This talk will outline the argument in my new book Publishing Beyond the Market: Open Access, Care, and the Commons (University of Michigan Press, 2025, Dr. Samuel A. Moore). The book explores the evolution of the open access landscape looking at commercial models, governmental policies and radical scholar-led publishing experiments, arguing that the move to open access should focus less on the free accessibility of research outputs and more on who controls the publications and infrastructures for scholarly communication. The talk will situate these ideas within debates on the commons and will argue for a route forward that nurtures an alternative, scholar-led open access landscape.

Data Quality Workshop: Unstructured Data and the Need for Quality Metrics

22. January 2026
Munich (Germany)
Organised by: BERD@NDFI, KODAQS

In the context of unstructured data in business, economics, and other social sciences, research can focus on a wide range of topics, including but not limited to… the assessment or improvement of the quality of unstructured data - the development of data quality frameworks - applications for unstructured data in research - highlighting the challenges in collecting and curating unstructured data. The event brings together experts from diverse fields to share insights, experiences, and strategies for navigating the challenges and opportunities of working with unstructured data. It also explores the need for quality metrics in AI and official statistics development in business, economics, and related data.

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