OnQ Software, a market leading manufacturer of LIMS has today announced an exciting new partnership with Software4Labs Ltd. The agreement involves the distribution of OnQ Software’s QLIMS into the UK market to further expand its European presence.
Health officials are turning to wastewater systems to track the spread of COVID-19 and identify vulnerable communities. Clinical labs that perform coronavirus testing do not understand the methodologies for wastewater analysis. As the National Wastewater Surveillance System comes online, wastewater testing labs can take on a critical role in bringing the pandemic under control...
In part 2 of our blog series on creating effective technical documentation, we detailed a best practice methodology that ensures the documentation will maximize benefits for your organization (part 1).
It might now be several years since you first deployed your LIMS, but have you paid it the attention it deserves? Your laboratory could be running much greater sample numbers or your lab processes and workflows may have changed over time. It could be time to think about a ‘tune up’.
Surprisingly, small configuration changes can make a big difference to the efficiency of your laboratory operation. [Read More]
In this 2020 paper published in Data Science Journal, Mayernik et al. present their take on assessing risks to digital and physical data collections and archives, such that the appropriate resource allocation and priorities may be set to ensure those collections' and archives' future use. In particular, they present their data risk assessment matrix and its use in three different use cases. Noting that the trust placed in a data repository and how it's run is "separate and distinct" from trust placed in the data itself, the authors lay out the steps for assessing those repositories' risks, and then making that task easier through their risk assessment matrix. After presenting their use cases, they conclude that their matrix proves "a lightweight method for data collections to be reviewed, documented, and evaluated against a set of known data risk factors."
This is a collection of free online introductory laboratory informatics courses developed by the Centers for Disease Control and Prevention (CDC) and the Association of Public Health Laboratories (APHL). The first two courses follow the journey of a specimen through the laboratory and explores the generation and transmission of data and results within and outside of the laboratory. A third course on laboratory informatics systems is in development. Participants can earn Professional Acknowledgment for Continuing Education® (P.A.C.E.®) credits upon completion.