Despite its importance, data retrieval in catalysis faces several challenges:
Data heterogeneity: Different types of data are generated using various methods and formats, making integration difficult. Data volume: The sheer amount of data generated can be overwhelming, necessitating efficient storage and retrieval mechanisms. Data quality: Ensuring the accuracy and reliability of data is critical, as erroneous data can lead to incorrect conclusions. Privacy and security: Protecting sensitive data from unauthorized access is essential.
