Open science and data are yet to make a real breakthrough and research policies will have a critical role in it. The history and general context around open data is hence firstly addressed, including how researchers perceive the existing incentives, leading to recommendations on how to foster data sharing. Subsequently, the focus is on catalysis, with a particular emphasis on benchmarking the data sharing practices against other fields and surveying the type of data currently being shared. The current infrastructure, including data repositories, and standards formats is maped. The striking differences among different disciplines are discussed, serving as a basis to propose specific actions to promote data sharing in catalysis. Short‐term initiatives are needed to boost the amount of openly available data, particularly in heterogeneous catalysis, but a high degree of standardization in data formats will be needed to ensure optimal and automated data mining in the long run. Because of its unique, central role in understanding the catalytic action, kinetic catalytic data is of particular interest. As formats and mining tools are dependant on the type of data, kinetic catalytic data is firstly characterized. Guidelines for a standardized sharing format are proposed, taking into account the small, well‐structured nature of this type of data. To maximize the extraction of information, the low volume of kinetic catalytic data will be compensated by incorporating fundamental knowledge into statistics‐based tools. Whencoupled with knowledge generation tools, i. e. kinetic models, new insights at the active site and mechanism levels will be reached in an ever more automated and powerful way.

Adiabatic operation of catalytic fixed-bed reactors for Oxidative Coupling of Methane (OCM) has been simulated using a detailed microkinetic and reactor model. For several catalysts (1%wtSr/La2O3, 10%wtLa-20%wtSr/CaO, 4%wtSn-2%wtLi/MgO and 12%wtMn-20%wtNa2WO4/SiO2), diverse in activity and selectivity towards C2+ products, operating conditions have been determined that maximize C2+ yield at low inlet temperature T0 (<< 923 K). A prior analysis of light-off curves served as a guideline for optimal operating temperature ranges for each catalyst. Imposing a maximum temperature in the reactor (T max ≤ 1273 K) suggested a limit for the catalytic performances, corresponding to 13% CH4 conversion and 61% C2+ selectivity at the reactor outlet for an active (T0= 723 K) Sr/La2O3 catalyst, and an improved 19% CH4 conversion and 82% C2+ selectivity for a less active (T0= 853 K) NaMnW/SiO2 catalyst. The obtained

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Combined kinetic and statistical approach to shed light on the link between kinetically-relevant descriptors and easily tuneable catalyst properties.

OCM catalysts underperforming in typical isothermal conditions could result in above average performances in adiabatically-relevant operating conditions.