Catalysis research often involves proprietary formulas, unique catalysts, and sensitive experimental results. Protecting this information is critical to maintaining competitive advantage and ensuring intellectual property rights. Data masking allows researchers to share data without revealing sensitive details, thus facilitating collaboration and data analysis without risking data breaches.
