Small but mighty: Discover the data systems pioneering laboratory digitalization

Find out how small data systems can create new possibilities for better, more verifiable science in your lab in this SelectScience webinar

28 May 2020
Tom Casburn
Associate Editor

Expert insights

Steve DeCabooter, Gilson

The lab of the future is a data-centric enterprise, but with most of our industry's attention focused on the possibilities arising from Big Data, gaps still remain. These gaps, left by many ubiquitous benchtop tools, leave holes in the data chain that affect researchers' ability to diagnose result variances. Thanks to technological advancements, this is now changing.

In this upcoming SelectScience webinar, hear from Steve DeCabooter, Director of Connected Platforms at Gilson, to discover and learn why small data systems are different and how they create new possibilities for better, more verifiable science using Gilson's connected platform.

Register Now

Watch this webinar to learn:

  • How small data systems are different from traditional systems
  • How small data systems can enhance overall reliability, traceability, and reproducibility in the laboratory
  • The new possibilities that exist for researchers using connected benchtop equipment

Who should attend?

  • This webinar will provide insights for those researchers both in industry and academia who want to explore small data systems and their importance in laboratory digitalization

The live webinar takes place on Thursday, June 11, 2020, at:

  • 16:00 BST
  • 17:00 CEST
  • 11:00 EDT
  • 08:00 PDT

Register to watch the full webinar here>>

SelectScience runs 3-4 webinars a month across various scientific topics, discover more of our upcoming webinars>>

Links

Tags

Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.Data MiningData mining is an important process for extracting information, patterns and trends from data. Data mining software, databases, reference materials and storage packages are available to process lab data.Software PlatformsSoftware platforms are useful for various stages of laboratory experiments from data collection to data storage and processing. For instance lab software is available for system control, data management, data analysis and qualification / validation.Data LoggingData AnalysisThe analysis of data is the process of transforming, modeling and evaluating data to discover useful information from experimental results. Data ManagementBig DataBig data is described as data sets that are extremely large and complex, and can be challenging to process.