Scientific Data Management and Instrument Integration
Monday, March 9, 2026 1:00 PM to 5:00 PM · 4 hr. (America/Chicago)
Short Course Office - Room 211
Short Course
Instrumentation & Nanoscience
Information
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.
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.
Day of Week
Monday
Session Number
SC-7435
Application
LIMS and Data Management
Methodology
Data Management
Primary Focus
Methodology
Morning or Afternoon
Afternoon
Short Course Information
Course Level
Beginner
Duration
Half Day Course
Learning Objective
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.
Course Outline
* Data sources in the laboratory
* Instrument data formats
* Collecting data from lab PCs
* Centralized management of instrument data
* Processing and viewing data without the original software
* Data and communication standards
* Cloud vs. on-premise data management
* LIMS and ELN connectivity options
* Mapping result data to LIMS and ELN
* Regulatory considerations
* Summary
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.
Early Fee (before Jan 29, 2026)
$450.00
Full Fee (after Jan 29, 2026)
$550.00
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