Standardization of Analytical Data: Best Practices
Standardization of Analytical Data: Best Practices - An ACDLabs White Paper
Standardization is critical to extracting the full potential of data. This White Paper offers a comprehensive guide to overcoming challenges and driving progress in analytical chemistry and beyond. Learn about available formats for analytical data standardization, limitations, and how to ensure data is usable by lab scientists and AI/ML.
Who should read this White Paper?
This resource is essential for R&D Leaders in Pharmaceutical, chemicals, agrochemicals, CPG industries. Data scientists and AI/ML Professionals working to harness the potential of diverse data sets will also find this to be useful reading. It is a great resource for laboratory managers and scientists seeking to improve workflow efficiency and data accessibility, as well as IT and informatics teams responsible for data management and integration.
What does this White Paper contain?
- You can learn the fundamentals of data standardization and normalization, including their impact on innovation.
- Explore the hurdles of managing diverse data from techniques like NMR, HPLC, mass spectrometry, and more.
- Understand the evolution of data formats, from JCAMP-DX to JSON and Spectrus, and their relevance today.
- Discover actionable insights to implement data standardization and future-proof your data for AI/ML.
- Learn how harmonizing datasets improves productivity, compliance, and decision-making across R&D processes.
Why read this White Paper?
It could help you to increase lab productivity. Streamline workflows and eliminate inefficiencies caused by fragmented data. Understand how to prepare your data for advanced analytics and uncover valuable insights. Gain knowledge of cutting-edge practices and industry trends in data management. Standardized data also facilitates seamless integration across teams, systems, and partners.