What are the Challenges in Data Management and Analytics in Catalysis?
Despite the benefits, there are several challenges:
1. Data Quality: Ensuring the accuracy and reliability of experimental data is a persistent challenge. 2. Data Integration: Integrating data from different sources and formats can be complex and time-consuming. 3. Scalability: Managing and analyzing large datasets require scalable infrastructure and advanced computational resources. 4. Interdisciplinary Collaboration: Effective data management and analytics often require collaboration between chemists, data scientists, and IT professionals, which can be difficult to coordinate.
