July 25, 2018
Laboratory Informatics Weekly Update

Volume 16, Issue 30


In This Issue

 Upcoming Webinars

07/31/2018 - Join LABTrack for a Free On-Line Webinar: KPI for Contract Labs

08/16/2018 - Webinar: Cannot Rule Out AI – Correlate Clinically


Using ETL Tools for LIMS Data Migration

For today’s scientific organizations, a laboratory information management system (LIMS) is necessary tool for effective data management in the laboratory. For many reasons, companies often find themselves in a situation where it is advantageous to upgrade the laboratory environment by migrating data from legacy systems into a new or even existing LIMS.  A LIMS data migration project will often involve the use of ETL technology to assist. Migrating data to a LIMS can be a challenging endeavor, however. Companies often have years of historical data and knowledge stored in their existing LIMS that must be migrated over to the chosen system. Depending on the amount and complexity of the data sources in the legacy system(s), as well as the complexity of the new LIMS, the data migration can require much time and labor. Unless the project team does proper planning and execution, the migration process can end up being the cause of major project delays.


Best Practices for Electronic Laboratory Notebook Implementation in R&D Labs

In today’s highly competitive global economy, innovation is mission critical for research and development (R&D) organizations. An important key to effective innovation is the efficient capture and sharing of experimental data to help organizations leverage their collective experience and knowledge.
 Featured Discussions

07/14/2018 - "Windows XP = non-compliance?" and how to fix this gap?

07/13/2018 - IBM: A data breach will now cost your organization $3.86 million, if you're lucky

07/12/2018 - Quality_Gap Analysis

07/11/2018 - Cloud-based QMS/PLM system

 Journal Articles

Data science as an innovation challenge: From big data to value proposition

How best can we retrieve value from the rich streams of data in our profession, and introduce a solid, systematic process for analyzing that data? Here Kayser et al. describe such a process from the perspective of data science experts at Ernst & Young, offering a model that "aims to structure and systematize exploratory analytics approaches." After discussing the building blocks for value creation, they suggest a thorough process of developing analytics approaches to data analytics. They conclude that "[t]he process as described in this work [effectively] guides personnel through analytics projects and illustrates the differences to known IT management approaches."

The development of data science: Implications for education, employment, research, and the data revolution for sustainable development

In this 2018 paper by Murtagh and Devlin, a historical and professional perspective on data science and how collaborative work across multiple disciplines is increasingly common to data science. This "convergence and bridging of disciplines" strengthens methodology transfer and collaborative effort, and the integration of data and analytics guides approaches to data management. But education, research, and application challenges still await data scientists. The takeaway for the authors is that "the importance is noted of how data science builds collaboratively on other domains, potentially with innovative methodologies and practice,"

A Guide for Management: Successfully Applying Laboratory Systems to Your Organization’s Work

This recorded Lab Informatics Tutorial series is designed as a management level view of laboratory systems and is appropriate for anyone planning, reviewing, or approving the acquisition of laboratory informatics. A background in science is not necessary to follow the presented material. Its purpose is to provide you with an understanding of how these technologies (Laboratory Information Management Systems, Electronic Laboratory Notebooks, Scientific Data Management Systems, Laboratory Execution Systems, Instrument Data Systems, and supporting technologies ) can be used to support/improve your labs operations, and the considerations that need to be taken into account before they are purchased.
 Featured Books

LIMSjournal - Summer 2018: Volume 4, Issue 2


07/25/2018 - Learn more about SPECTra, a new radiopharmacy LIMS

07/25/2018 - Arc Bio Established to Develop NGS Tools to Revolutionize Infectious Disease Field

07/25/2018 - Simulations Plus Subsidiary DILIsym Awarded Grant for up to $1.7 Million For Model Development

07/25/2018 - Transcriptic Selected to Oversee Robotic Cloud Lab Platform for Lilly’s San Diego Biotechnology Center

 Upcoming Trade Events

09/06/2018 - India Lab Expo

09/10/2018 - Smartlab Forum

09/12/2018 - Thailand Lab International 2018

09/17/2018 - Genome Informatics 2018

10/02/2018 - World of Technology & Science 2018

10/05/2018 - HIS 2018

10/31/2018 - Lab Innovations 2018

11/13/2018 - LIMS-Forum 2018

 Bid Opportunities

07/26/2018 - Request for Proposal: Laboratory Provider Links (LPL) Software

07/30/2018 - Request for Tender: Integrated Electronic Health and Care Record for Health and Social Care Northern Ireland

08/03/2018 - Request for Proposal: Engineering Analysis Laboratory Services

08/16/2018 - Request for Proposal: Laboratory Information Management System (LIMS) Replacement Project

08/31/2018 - Invitation to Bid: Laboratory Services New Jersey Department of Transportation

Become a Sponsor
CSols Inc.
Thermo Fisher Scientific
Autoscribe / Autoscribe Informatics, Inc.
LabLynx, Inc.
Abbott Informatics Corporation
Blaze Systems Corporation
Astrix Technology Group
ApolloLims / Common Cents Systems, Inc.
Computing Solutions, Inc.
Psyche Systems

E-mail your feedback or questions to us at: limsforum@lablynx.com

Mail us: LabLynx, Inc. P.O. Box 673966 Marietta, GA 30006

Telephone: 770-859-1992