Laboratory Informatics Weekly Update – Volume 14, Issue 31
August 03, 2016 Laboratory Informatics Weekly Update Volume 14, Issue 31 In This Issue Webcast Focus AUGUST 17, 2016: WEBINAR - Maximizing LabVantage LIMS' Value and Minimizing Implementation Risks In CSols’ experience, successful LabVantage LIMS implementations begin with a set of critical preparatory tasks. Organizations that complete these tasks are more successful and get more value out of their LIMS. Event Focus SEPTEMBER 26-30, 2016: 14th Cold Chain GDP & Temperature Management Logistics Global Forum The world’s largest event for temperature-controlled life science supply chains will return this year with extended topic focuses, session formats, speaking faculty and vendor options.…Water, water, everywhere: Defining and assessing data sharing in academia
In this 2016 article published in PLOS ONE, Van Tuyl and Whitmire take a close look at what "data sharing" means and what data sharing practices researchers have been using since the National Science Foundation's data management plan (DMP) requirements went into effect in 2011. Making federally-funded research "data functional for reuse, validation, meta-analysis, and replication of research" should be priority, they argue; however, they conclude not enough is being done in general. The researchers close by making "simple recommendations to data producers, publishers, repositories, and funding agencies that [they] believe will support more effective data sharing."
Agilent Technologies Completes Asset Acquisition of iLab Solutions, a Leader in Cloud-Based Laboratory Management Software
Agilent Technologies Inc. (NYSE: A) today announced it has completed the asset acquisition of iLab Solutions LLC, a leader in cloud-based solutions for core laboratory management.
IBM Lab-on-a-Chip Breakthrough Aims to Help Physicians Detect Cancer and Diseases at the Nanoscale
IBM scientists have developed a new lab-on-a-chip technology that can, for the first time, separate biological particles at the nanoscale and could help enable physicians to detect diseases such as cancer before symptoms appear.
