The last weeks I posted a few articles about QLIMS clever tools to speed up the implementation. Focus on QLIMS as a real SaaS or private Cloud implementation.  What is still possible for a LIMS administrator in a cloud deployment? Way more than you think.

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Celebrate, Good Times, Come On… It’s A Celebration!  Those famous lyrics from the iconic 1980s hit by Kool and the Gang summarize how I feel right now! This month, CSols Inc. is celebrating 20 years of serving our employees, partners, and most importantly, you, our customers!

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We all know that an investment in the right technology can create efficiencies for an organization. The COVID-19 pandemic highlighted the importance of managing the diagnostic testing laboratory using a comprehensive LIMS that is well-implemented and supported by a reputable LIMS vendor.

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The Informatics division of Abbott is pleased to announce the STARLIMS Quality Manufacturing Solution QM12.2 Service Pack 1 (QM12.2 SP1) release. STARLIMS QM12.2 is built on the latest STARLIMS Technology v12 platform.

In this mini review published in Frontiers in Water, Carriço and Ferreira draw from their personal experiences in the Portuguese water industry to present a case for better data and information management in assessing the condition of existing urban water infrastructure. The authors turn to a collection of 16 performance indicators for assessing water supply systems (WSS) or district metering areas (DMA), as well as the poor state of data management overall in water utilities, as a an impetus for improving the information systems that handle those indicators and related data. They further explain the data requirements for condition assessment of water utility assets, the importance of data integration and interoperability, and the existing barriers to getting those things correct. They close by suggesting future trends, noting however that "many small and medium size utilities worldwide are yet resistant" to such trends, while recommending that "utilities should start to investigate the data they collect and to rethink existing data models."

This is a Georgetown University course that is released on the edX platform. The eight-week course is designed to provide greater "understanding, analysis, and interpretation of biomedical big data to those in the biomedical field with limited or no significant experience in bioinformatics." The course is free to take, with a Verified Certificate of completion available for $49. The course requires on average three to six hours a week of effort. Access to the class begins September 9, 2019.