Nobel Prize Repository
As part of the Nobel Prize Project, the research group led by Prof. Dr. Thomas Heinze developed two datasets which are available for further analysis.
The NLD focuses on Nobel laureates, while the NND explores Nobel Prize nominations.
For further details please see the datasets below.
Datasets
This dataset captures Nobel laureate data in the disciplines of Physics, Chemistry, and Medicine/Physiology from 1901 to 2020. This includes personal information (e.g., first/last names, birthyear, age), institutional and country information (e.g., PhD-granting institution & country, institution & country where prize-winning research was conducted or published and where Nobel Prize was awarded), and prize-related information (e.g., type of research breakthrough, number of years between prize-winning work and Nobel Prize, mentorship).
This link (https://doi.org/10.17605/OSF.IO/7VNXP) will take you directly to the dataset stored in the OSF, as well as to additional information.
Listed here are publications that have already used the NLD:
- Heinze, T., Fuchs, J.E. (2022). National and organizational patterns of Nobel laureate careers in physiology/medicine, physics, and chemistry. Scientometrics, 127(12), 7273-7288. https://doi.org/10.1007/s11192-021-04250-0
- Heinze T., von der Heyden M., Pithan D. (2020). Institutional environments and breakthroughs in science. Comparison of France, Germany, the United Kingdom, and the United States. PLoS ONE 15(9): e0239805.
- Heinze, T., Jappe, A., Pithan, D. (2019). From North American hegemony to global competition for scientific leadership? Insights from the Nobel population. PLoS One 14(4): e0213916.
This dataset shows the Nobel Prize nomination network in the disciplines of Physics and Chemistry from 1901 to 1969. Information about the nominators (those who submit nominations) as well as nominees (those who receive nominations) are available on multiple levels, ranging from individual to national data. The depiction of the organizational affiliation of the scientists is a particularly new component.
This link (https://doi.org/10.17605/OSF.IO/ZUWFK) will take you directly to the dataset stored in the OSF, as well as to additional information.
Listed here are publications that have already used the NND:
- von der Heyden M., Heinze T. (2025): Decline of German and rise of North-American hegemony in science: Insights from Nobel Prize nominations (Physics/Chemistry, 1901-1969). PLoS ONE 20(5):e0323103.
- von der Heyden M. (2024): Selection and Placement of the Scientific Elite. The Network of Nobel Prize Nominations in Physics and Chemistry, 1901-1969. Universitätsbibliothek BUW. doi.org/10.25926/BUW/0-430
