Burkhard Schäfer, Splashlake, Griesheim
This presentation introduces the notion of digital sustainability in scientific research & development and manufacturing. It focuses on maximizing outcomes from available resources through a holistic and scalable approach to data management and integration.
By implementing this approach, researchers can enhance the efficiency and effectiveness of their experiments, data handling, and analysis processes. The talk outlines a smart lab data blueprint, from experiment planning to analytics, showing how standardization enables more productive use of resources. This framework not only optimizes current research capabilities but also sets the stage for advanced AI and machine learning applications, including closed-loop experimentation.
Data and communication standards, particularly SiLA and AnIML, can play a role in achieving this. The speaker demonstrates how these standards form the foundation for comprehensive data orchestration, representation, and management in automated laboratories.
Ultimately, the presentation argues that adopting a holistic approach drives innovation by allowing scientists to achieve more significant results with their given resources, thus embodying the principle of digital sustainability in laboratory environments.
