OpenStats: how to combine statistics and research data management (RDM) to leverage efficient scientific data analysis by guided statistics
- DOI
- 10.1186/s13321-026-01241-2
- Published
- 2026-07-01
- Container
- Journal of Cheminformatics
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.1186/s13321-026-01241-2,
title = {OpenStats: how to combine statistics and research data management (RDM) to leverage efficient scientific data analysis by guided statistics},
author = {Konrad Krämer and Pierre Tremouilhac and Fabian Mauz and Christoph Grathwol and Nicole Jung and Stefan Bräse},
year = {2026},
journal = {Journal of Cheminformatics},
doi = {10.1186/s13321-026-01241-2},
url = {https://doi.org/10.1186/s13321-026-01241-2}
}RIS
TY - JOUR TI - OpenStats: how to combine statistics and research data management (RDM) to leverage efficient scientific data analysis by guided statistics AU - Konrad Krämer AU - Pierre Tremouilhac AU - Fabian Mauz AU - Christoph Grathwol AU - Nicole Jung AU - Stefan Bräse PY - 2026 JO - Journal of Cheminformatics DO - 10.1186/s13321-026-01241-2 UR - https://doi.org/10.1186/s13321-026-01241-2 ER -
APA
Krämer, K., Tremouilhac, P., Mauz, F., Grathwol, C., Jung, N., & Bräse, S. (2026). OpenStats: how to combine statistics and research data management (RDM) to leverage efficient scientific data analysis by guided statistics. Journal of Cheminformatics. https://doi.org/10.1186/s13321-026-01241-2
Source records
- crossref · retrieved 2026-09-26T00:17:10.102Z