Data accessibility in the chemical sciences: an analysis of recent practice in organic chemistry journals

• Sally Bloodworth,
• Cerys Willoughby and
• Simon J. Coles

Beilstein J. Org. Chem. 2025, 21, 864–876, doi:10.3762/bjoc.21.70

• identifiers for all reported compounds. Keywords: data availability; FAIR principles; journal guidelines; NMR data; organic chemistry; Introduction Fundamental to science is the ability of researchers to build upon the findings of others. Scientific data are no longer perceived as simply an output of

Catalysing (organo-)catalysis: Trends in the application of machine learning to enantioselective organocatalysis

• Stefan P. Schmid,
• Leon Schlosser,
• Frank Glorius and
• Kjell Jorner

Beilstein J. Org. Chem. 2024, 20, 2280–2304, doi:10.3762/bjoc.20.196

• this chapter, we first discuss the evolution of physical-organic descriptors for the representation of organocatalysts [82]. Later, we examine the effects of increasing data availability towards the application of ML in this field. 2.1 Evolution of physical-organic descriptors in organocatalysis

• . With HTE platforms established and due to their importance to ML campaigns, the past few years have seen a trend in creating larger experimental chemical reactivity datasets, in particular for transition metal catalysis [47][48]. 2.2 Increasing data availability in ML for organocatalysis While, to the

Synthesis of new pyrazolo[1,2,3]triazines by cyclative cleavage of pyrazolyltriazenes

• Nicolai Wippert,
• Martin Nieger,
• Claudine Herlan,
• Nicole Jung and
• Stefan Bräse

Beilstein J. Org. Chem. 2021, 17, 2773–2780, doi:10.3762/bjoc.17.187

• characterization data, biological assay details, and data availability in chemotion repository. Supporting Information File 289: Copies of spectra. Supporting Information File 290: Direkt links to datasets and reference numbers of target compounds in Molecule Archive. Funding This work was supported by the