A Beginner’s Guide to Bibliometric Data Analysis with the TOBI Portfolio

In today’s research environment, bibliometric analysis has become an essential tool for understanding the reach and impact of scientific work. Yet, for many researchers, especially those without a technical background, getting started with bibliometric data can be overwhelming. Tools are often complex, and data access can feel out of reach.

That’s where the TOBI Portfolio comes in. With a focus on accessibility, this collection of Jupyter Notebooks offers a beginner-friendly approach to bibliometric analysis, for all levels of technical expertise. TOBI provides a flexible and intuitive way to explore key bibliometric questions.

So what can you do with the TOBI portfolio?

The TOBI Portfolio simplifies bibliometric analysis by offering notebooks that guide you step-by-step through various research scenarios. Each notebook comes with clear instructions, example API retrievals, and plotted visualizations — so you can jump straight into the analysis without having to start from scratch.

Here are a few things you can explore (so far):

  • Jupyter Notebook tutorials: basic bibliometric analyses using open databases.
  • Tools for quality checks: scripts to detect data issues in open databases.
  • Custom analysis scripts: explore Open Access shares, language distributions, and more.

At the heart of the TOBI Portfolio is a commitment to open data. The notebooks use freely available platforms like OpenAlex and OpenAIRE, so researchers from all backgrounds can explore bibliometric data.

  • OpenAlex offers a broad database of scholarly works, authors, institutions, and citations.
  • OpenAIRE provides rich metadata and data on open access categories.

Each platform brings unique insights and we encourage you to test both on your own.

One of the portfolio’s biggest strengths is its flexibility. Every notebook is fully customizable, so you can tailor the analyses to answer your own research questions.

For example:

  • Adapt parameters to narrow your focus to specific years, countries, institutions or subject areas.
  • Adjust visualizations to spot trends or changes in citation behavior over time.
  • Add new metrics to track additional indicators that matter to your research.

It’s easy to make the portfolio work for you.

We’d love to hear how you’re using the TOBI Portfolio — get in touch and share your experience!

TOBI: Towards Open Bibliometric Indicators is a project led by ETH Library and co-funded by swissuniversities. Visit the TOBI website to learn more about the project or contact us at bibliometrics@library.ethz.ch
Photo of author

Elisabeth Giryes

Elisabeth Giryes is a computational linguistics student working in the group Research Analytics Service and is contributing to the TOBI (Towards Open Bibliometric Indicators) project through data engineering.

Leave a comment