Scientific Data Management and Instrument Integration
Instructor: Burkhard Schaefer, Splashlake
Wednesday, October 9, 2024 ◉ 1:00 pm to 3:00 pm EST
Cost: $250
Track: Professional & Career Development
Course Level: Beginner
Course Description: Take your lab to the stage of digitisation. In the lab, we’re in it for the data. This data should be properly managed so it can generate value. This data management course provides a comprehensive overview of scientific data management, as well as instrument integration with LIMS and ELN systems. Learn how to get your instruments connected. Collect data from instrument PCs in an analytical or biological lab and store them in a secure central place. Explore how this data can be integrated with leading systems such as LIMS and ELN to reduce manual transcription. Understand the role of data standards and communication standards to make this process easier. Apply the FAIR principles to your data to maximise its utility. The instructor supplies practical case studies and examples for how to apply these techniques to laboratory environment.
Target Audience: Individuals looking for an overview of data management and connectivity technology topics relevant to a laboratory environment. The target audience for this class is laboratory IT decision makers and professionals all the way from R&D to production, contract labs and other stakeholders.
Learning Objectives:
This course helps you build your own connectivity strategy for your lab data. It offers an understanding of the scientific data management field. Interfaces with leading systems (ELN, LIMS) can save time and reduce errors.
About the Instructor
Dr. Tania Burkhard Schaefer is the lead architect of the AnIML data format. He is a regular contributor to the Pittcon short course program and has been involved with the LECIS standardization effort at Los Alamos National Laboratory (LANL) and the AnIML standardization project with the National Institute of Standards and Technology (NIST) and the American Society for Testing and Materials (ASTM). In his day job, Burkhard is working on systems for integrating, analyzing and sharing of analytical data. He holds a Diploma of Computer Science from the Technical University of Kaiserslautern and has been teaching short courses for over 20 years.
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