Nodegoat Workshop

Analyse and Visualise Humanities Data

Analyse and visualise humanities data

Learn how to use the web-based research environment for the humanities Nodegoat for your research. nodegoat allows scholars to build datasets based on their own data model and offers relational modes of analysis with spatial and chronological forms of contextualisation.

No prior knowledge is necessary for participation. Please bring your laptop and feel free to also bring your research questions and/or dataset to be used during the workshop. You can also start your project before the workshop and attend the workshop to ask questions about your project: go to to get started.

The workshop will be held by Pim van Bree and Geert Kessels (LAB1100). LAB1100 is a research and development firm the two established in 2011. LAB1100 brings together skills in new media, history, and software development. Working together with universities, research institutes, and museums, LAB1100 has built the digital research platform nodegoat and produces interactive data visualisations.

This workshop is organised by the Digital Lab of the Leipzig Research Centre Global Dynamics (ReCentGlobe).

There are two research projects at ReCentGlobe that are already using Nodegoat in their research. They are both open to share their experiences made so far, so feel free to contact them: Weltwissen (Kathleen Schlütter/Carolina Rozo Higuera) and ANCIP (Vincent Schober/Elisabeth Warnck).

Eva Ommert (SFB 1199, Leipzig, Germany)

Since January 2020, Eva Ommert is responsible for research data management in the Collaborative Research Center 1199 “Spatialization Processes under Conditions of Globalization” (SFB 1199). In the SFB topics which are becoming increasingly important in the academic world are addressed. For example, following questions will be addressed: What is research data in our humanities and social science disciplines? How should research data be documented – for the researchers themselves, but also for others? What needs to be considered in terms of data protection? What do after-use scenarios for certain research data look like? How much time and resources must be spent on preparing research data in such a way that subsequent use by others is possible – and when is this worthwhile? Her task is to coordinate this debate.