Toward efficient reporting for catalytic methane reforming data: a framework and review for standardized scientific data reporting
Year: 2026
Type: article
Abstract: Catalyst performance in dry methane reforming (DMR) depends on metals, supports, promoters, and synthesis methods, yet inconsistent reporting limits reproducibility and comparability. This review introduces the Data-Friendly Article (DFA) framework, a FAIR-aligned guideline designed to enhance transparency, standardization, and machine readability in catalysis studies. The DFA defines essential elements such as activity and stability outputs, data-point count, quantitative characterization, and consistent reporting of experimental parameters. Applying this framework to 149 Ni–Al₂O₃ DMR studies showed that only 82 (55%) met DFA suitability criteria, while 67 were excluded due to missing parameters or inconsistent presentation, with stability outputs reported more consistently than activity metrics. By distinguishing between DFA-compliant and excluded studies, this work highlights the need for standardized reporting to facilitate benchmarking and accelerate the integration of catalysis data into machine-learning workflows.
Source: npj Computational Materials
Authors: Ismail Salim, Abdallah S. Berrouk
Institution: Khalifa University of Science and Technology
Language: English
Subfield: Catalysis
Field: Chemical Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,490
Award: G63039802
OpenAlex ID: W7123396673