Addressing Data Integrity in the Age of Sticky Notes
by Stephen Ferrell | June 11, 2018

In 1992, I entered my first lab: a land of Bunsen burners, pipettes, test tubes and a kaleidoscopic selection of oddly colored sample jars. Within 20 minutes, my lab partner and I had spilled 4 molar Hydrofluoric acid into an electrical outlet and my scientific career went up in literal flames. For reasons you might guess, it was not until almost 10 years later that I found myself in the lab again. This time I was validating 21 CFR Part 11 compliance solutions that had been installed across all the PC’s in the lab – less fun and dangerous.

In a lab replete with Mass Spectrometers and HPLC systems, there was one tool that stood above the rest…

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Avoiding Bad Lab Software: A 3-Step Guide – April 19, 2018

Effective software evaluation is a vital skill needed to achieve success in your lab and career in the life sciences. Here’s how to do it:

1. Know your requirements

Clear and detailed software requirements are very important, but also difficult to create. With clear documentation, you can ensure that you are getting exactly what you have asked for. It also benefits all parties by establishing the scope of the project, helping it stay on time and on budget…

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CEO Blog: Leaders in Software – by Tom Dolan | March 15, 2018

My wife and others in her field work to put Hashimoto’s and other ailments into remission. Let’s imagine that I have started my own lab to support their growing demand for testing. Ready?

I am testing the current subject’s samples in a few ways at my brand-new lab equipped with my new analyzers. It has been going great for the first few dozen batches, me armed with my trusty excel spreadsheet, but I soon decide that I need laboratory software. More on that decision later.

Today, my lab has some new options to consider when shopping for laboratory software that weren’t around a few years ago. Some of the providers I evaluate…

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Big Pharma = Big Data: Challenges and Solutions – February 2, 2018

Large pharmaceutical companies face numerous data management obstacles. This is, in part, due to the large scope of data that requires proper data entry, storage, access, curation, and reporting. Laboratory Information Management Systems (LIMS) are a common and appropriate solution. However, many Big Pharma companies (and other large life science entities) solve the data management challenges with a series of non-connected software solutions that differ by departments. The result is a confusing network of data that is not necessarily interlinked to allow robust record keeping and data mining. If your organization faces these challenges, keep reading for helpful solutions…

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Six Problems Your Toxicology Lab May Be Facing (And How to Solve Them)– December 8, 2017

Often, the most challenging part of running a clinical toxicology lab has nothing to do with testing itself. Between daily operations, client management, changing reimbursements, and the constant threat of inspection, many toxicology labs are finding the logistics of day-to-day lab management difficult to keep up with. Though a lab and its staff might be well-prepared to run accurate tests, it’s impossible to run a successful lab without also being able to manage internal processes and customer relations, as well as understand changing industry regulations…

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