Mass Spectrometry & Spectroscopy
Is Analytical Data Management Explicitly Part of Your Organisation’s Digitalisation Strategy?
Oct 02 2020 Read 581 Times
The covid-19 pandemic has brought data digitalisation and management into pinpoint focus. With scientists suddenly locked out of labs, working in shifts, or working from home, organisations are thinking about how to improve data accessibility and storage.
As scientists, we don’t often dwell on how data is stored. Buzz words like digitalisation lie in IT’s domain. But if we cannot contribute to the data-management solution, we will find ourselves with one thrust upon us. Digitalisation isn’t a matter of putting things on a computer monitor. Digitalisation should enable us to do everything we need with data: to manipulate, review, and interrogate it for answers and to support decisions.
Analytical data is among the most complex and varied data we collect. While we may think it’s already being managed - in the instrument software, in our ELN, in the LIMS - imagine accessing it remotely. Can you zoom into the spectrum or chromatogram to take a closer look? Can you re-integrate, detect that previously overlooked peak, or re-process the data?
Users of software on the ACD/Spectrus Platform found themselves in a unique position in 2020: they could answer ‘yes’ to these questions, and more. Spectrus enables digital assembly of analytical data from >150 instrument vendor formats and multiple analytical techniques (LC/UV/MS, GC/MS, NMR, Raman, IT, and more). The portfolio of Spectrus Workbooks offers advanced tools for processing, analysing, and storing analytical data in chemical context. Furthermore, users need not step into the instrument lab to make a decision from analytical results. Automation sweeps data from the instrument so it can be processed and stored in re-analysable form in a searchable database.
Rescue your analytical data from summary tables and uneditable images. Keep your experimental results alive for whenever and wherever you need them.
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