DOCSLIB.ORG

Resource Guide

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Resource Guide 2019 INFORMATICS RESOURCE GUIDE Questions to Ask When Buying Cloud Computing for the Laboratory Laboratory Informatics Using LIMS to Address Core LIMS Meets the Modern Laboratory Labs’ Workflows LIMS: Flexible Data Management Selecting a SaaS LIMS Informatics Resource Guide Questions to Should I invest in a cloud-based system? Many potential users have concerns about security when storing their valuable lab data in the cloud. However, vendors who offer Ask When cloud-based LIMS have many security measures in place and are continually monitoring and acting upon potential threats. Cloud-based solutions might end up being more secure than Buying storage on your lab’s in-house servers. In addition to security, cloud-based systems offer automated and flexible backups to ensure that you never lose your data. Storage capabilities of Laboratory cloud-based systems can also be expanded as the data needs of the lab grow. Will I need to purchase specific instruments Informatics to integrate them with my LIMS? aboratory information management systems (LIMS) are computer programs used to facilitate laboratory Many laboratory instrument manufacturers are teaming up with Loperations. They can be used for sample management, LIMS programmers to integrate their instrument monitoring instrument integration and monitoring, data collection, into LIMS platforms. However, other manufacturers continue to compliance, quality assurance, experiment documentation, develop proprietary instruments that require their own software and many other tasks. LIMS form a central database where solutions. In other cases, monitoring devices can be added to lab members can access all laboratory information, increasing instruments, allowing for integration of instrument monitoring transparency and efficiency within your lab. for multiple units into a single interface. Consult with the LIMS vendor to determine if your instruments will be compatible with How do I know if an adaptable LIMS is the software. Before purchasing any new instruments, check right for my lab? whether they will be compatible with your LIMS. LIMSs can be purchased as out-of-the-box solutions designed to work for your lab with complete functionality. However, many PURCHASING TIP vendors also offer adaptable LIMSs that can be configured to When purchasing a LIMS, look for software that is highly the users’ needs and can be changed in the future as the data configurable. When implementing the system, you’ll want management needs of the laboratory change. These systems to be able to tailor the software to your needs and workflows eliminate unnecessary functions, simplifying the software for rather than being confined to its pre-set capabilities. Over the end user. The right system will depend on the complexity time, configurable software will be able to adapt as your needs of the functions required. If your needs are simpler, an adaptable change without having to implement a new system. solution might be a better fit for your lab. Lab Manager 2 Informatics Resource Guide research, to cover both lab samples and processes. For decades, LIMSs focused on the former, while electronic LIMS Meets laboratory notebooks (ELNs) handled the latter. When first developed, LIMSs and ELNs were built the Modern independently and their functions didn’t meet unless the customers wanted both types of software. At this point, the vendors would try to figure out how to make the software Laboratory packages work together. The latest trends in laboratory information Today, through mergers, acquisitions, and technology management systems acquisition, most major LIMS developers incorporate at least some aspects of laboratory execution software (LES), ELNs, By Angelo DePalma, PhD database, or supervisory functions into their LIMSs. aboratory information management systems (LIMS) One goal of both ELNs and LIMSs is elimination of nonvalue- have evolved toward greater accessibility, functionality, added laboratory activities, of which paperwork is a substantial Land interconnectivity, to a degree that could not be but seemingly entrenched component. Many lab workers foreseen (or have been possible) when LIMSs were first still use paper notebooks, even when they have high-level introduced. In the early 1980s, when LIMSs first emerged, information systems in place. Thus, the elimination of programmers were working with small mainframes or paperwork became a common driver for adoption of both ELNs minicomputers and didn’t have Oracle databases, Windows, and LIMSs, which further drove their integration. or microcomputers. The challenge was sample management, and that’s what LIMSs were designed to handle. Another idea, that individual lab processes were part of a larger organic whole, made integration of LIMS and ELN products At the time, the pharmaceutical industry was just even more appealing. LIMS should not exist in silos as this adopting large compound libraries for drug discovery software is highly interrelated and can leverage common and combinatorial chemistry to probe active molecules functionality. In addition, customers want a single vendor for all within those molecule collections. As more drug discovery their software, so it makes sense to have LIMS, ELN, and LES organizations adopted these tools, labs became inundated available under a single software platform. with samples, sometimes needing to process thousands of unique samples per week. Democratizing complexity To this day, a great deal of the effort in lab automation, As LIMSs began losing their exclusive focus on samples, particularly on the software side, attempts to manage such they also underwent what this column has termed (with Lab Manager 3 Informatics Resource Guide respect to instrumentation) “democratization”— reduced LIMS are also able to connect to ELNs to provide a complete complexity leading to improved usability and accessibility picture of quality data and how it is acquired. ELNs track each by ordinary users. step in the process so that if a product is out-of-specification, the manufacturer can track back to the specific production lot as well This new class of products, or “lean” LIMS, provides an as how the product was tested. alternative to the traditional pharmaceutical LIMSs, which are highly loaded and require significant investment. The traditional Modern LIMSs have a good deal of ELN functionality already software also has many modules and stacks required for built in, but some customers, prefer a dedicated ELN. functionalities, which can scare many users. A LIMS should be intuitive to use. Into the cloud Cross-functionality—to a point The question of whether to host a LIMS (or any data-intensive application) locally, at or near the point of use, versus keeping Integration with third-party laboratory and process software it in the cloud has pretty much been settled. Drug companies, has long been a goal for LIMS companies. Early on, developers which churn out thousands of patents per year and with a keen were constrained by computing power, limitations in supervisory sense of intellectual property ownership, were at one time software, and the proprietary nature of such products. Those reluctant to let their data “out.” Today, the preference is for limitations are disappearing as interface standards emerge and cloud-based data repositories. suppliers recognize that staying in business requires them to accept the reality of multi-sourcing for laboratory information Cloud-based LIMSs offer better performance, better disaster products. recovery, greater redundancy, superior security and data integrity, and easier scaling with very little capital investment. LIMS are also becoming more tightly integrated into In addition, using the software-as-a-service model means that instrumentation and non-LIMS information management vendors are increasingly involved, and labs are able to subscribe to systems such as ERP (enterprise resource planning) and SAP software rather than purchasing, which can help when budgeting. (systems applications and products). Product Spotlight: Welcome to Digital Lab Solutions from Eppendorf We believe, that digital transformation is a game changer, enabling us to focus on the high value tasks by efficiently supporting the day-to-day duties. The combination of latest Internet-of- Things technology, data analytics methods and superior manufacturing capabilities will improve the impact of your lab. Learn more about how you can evolve yourself and your lab with our digital solutions for device management and lab information management. One step further towards your future lab. Learn More Lab Manager 4 Informatics Resource Guide In many ways, adaptable means personalized. Vendors can LIMS: configure your LIMS to the way you want to work. When something is easy to configure and adapt, it leads to less headaches for the end user. That could be a mantra for an Flexible Data adaptable LIMS—fewer headaches. Create your own flow Management Adaptable LIMS can handle and track protocols without locking users into a rigid workflow. For example, the software The adage of “adapt or die” applies to can allow the objects handled by the LIMS to be linked to a laboratory information management each other with little restriction and can also allow these system (LIMS) just as it does to evolution objects to be used independently. This ability allows the LIMS to be phased into a lab incrementally and independently of by Mike May, PhD a workflow. An adaptable LIMS should fit seamlessly into a laboratory’s operations and implementation should not be daptability in a LIMS can mean adjusting it for the disruptive for the lab. way a researcher works or accommodating changing Aneeds in a lab, such as handling data from new devices Drag and drop configurations can make it easy to set up more added to a workflow. In order to be accepted, a LIMS needs to complex procedures. Vendors are also creating development be capable of handling projects that require innovative solutions methods that let you communicate with instruments using and quick development. drivers and design the interface the way you want. An adaptable LIMS can also save money and reduce the risk of So, when you think “adaptable” in a LIMS, decide what you being out of compliance.
Load more

Recommended publications
  • Information Management Technology
    Information Management Technology 12 May 2006 | News Image not found or type unknown Information Management Technology Laboratory informatics has a much broader application area-scientific research from drug discovery to production. Information science or "informatics" is the science of information. It is often studied as a branch of computer science and information technology and is related to database, ontology and software engineering. Informatics is primarily concerned with: Creating and structuring data Management, storage and retrieval of data Distribution and transfer of information Informatics is about the transformation of information by computation or communication; by machines or people. It is the intersection of artificial intelligence, cognitive science, computing science and related fields. Informatics focuses on understanding business or scientific research challenges and applying information technology as the solution-tackling the problem first rather than technology first. It combines software applications, search technology, database storage and tools for digitally-enabled collaboration. Laboratory informatics Laboratory informatics is the specialized application of information technology to maximize laboratory operations, particularly in analytical, production and research and development. Laboratory informatics encompasses data acquisition, data processing, data analysis and long-term archiving, electronic laboratory notebooks, laboratory information management, laboratory automation, scientific data management, document
    [Show full text]
  • Laboratory Informatics Guide 2014
    LABORATORY INFORMATICS GUIDE 2014 www.scientific-computing.com/lig2014 FROM THE PUBLISHERS OF subsidiaries. BREAKTHROUGH MOMENT #46 QUERYING YOUR DATA AND INSTANTLY VISUALIZING THE ANSWER © 2011 PerkinElmer, Inc. 400280_06. All trademarks or registered are the property of and/or its Scientifi c breakthroughs don’t happen every day. But with the TIBCO Spotfi re® platform, they just might happen more often. TIBCO Spotfi re® software visualizes your data in stunning, impactful analyses—giving you immediate insights and even answering questions you haven’t posed yet. With such a powerful tool, you can take complete control of your data: • Combine data from multiple sources—chemical structures, text, numbers, images, chemical properties, biological assays, and more. • Identify new relationships, isolate signifi cant outliers, and easily spot trends and patterns. TIBCO Spotfi re® software connects to data sources with just a few clicks—and runs visualizations instantly. It’s that easy. Download your free trial and get started on your next breakthrough today. www.perkinelmer.com/spotfi re-scientifi ccomputingworld Created By: WHM Creative Production: Sarah Pruett / 206.313.1252 Stock: TBD Job: CID3639 PerkinElmer TIBCO Spotfi re Breakthrough Print Ad Inks: CMYK - Match to PMS swatches for PMS299C, PMS 369C, Date: 12/02/13 PMS 423C, PMS 286C, PMS 144C Finish Size: 213mm x 282mm contents | LABORATORY INFORMATICS GUIDE 2014 WELCOME There is a paradox at the heart of this year’s Laboratory Informatics Guide. On the one hand, we have an article showing how technology developed for the consumer market can help drive down costs and improve efficiencies in the work of the analytical laboratory.
    [Show full text]
  • Informatics Self-Assessment Tool for Public Health Laboratories 2013 Suggested Citation
    Informatics Self-Assessment Tool for Public Health Laboratories 2013 Suggested Citation Association of Public Health Laboratories (APHL); Centers for Disease Control and Prevention. Laboratory Efficiencies Initiative: Informatics Self-Assessment Tool for Public Health Laboratories. Silver Spring, MD; APHL; 2013. http://www.aphl.org/aphlprograms/lss/Laboratory-Efficiencies-Initiative/Pages/Informatics.aspx This publication was supported by Cooperative Agreement # U60HM000803 from CDC and/or Assistant Secretary for Preparedness and Response. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of CDC and/or Assistant Secretary for Preparedness and Response. Funding for the program was funded 100% from federal funds. Table of Contents Abbreviations ................................................................................................ 1 CA 5: Prescheduled Testing ....................................................................... 29 Description ...................................................................................... 29 Introduction .................................................................................................. 2 Guidance Statement ........................................................................ 29 The Laboratory Efficiencies Initiative (LEI) ........................................... 2 Capability Area 5 ............................................................................. 30 Tool Development Process ...............................................................
    [Show full text]
  • 2017 Informatics Resource Guide
    The Lab Manager INFORMATICS RESOURCE GUIDE Things to Think About Before Buying a Lab Informatics System BY RYAN ACKERMAN Considering the Cloud BY JOHN JOYCE, PhD LIMS: Flexible Data Management BY MIKE MAY, PhD 20 To LIMS or Not to LIMS? 17 BY ANGELO DEPALMA, PhD Product Focus: Electronic Laboratory Notebooks BY ANGELO DEPALMA, PhD Informatics Resource Guide 2017 Things to Think About Before Buying a Lab Informatics System Modern informatics systems come in a variety of different types and configurations to suit any researcher’s needs By Ryan Ackerman A LABORATORY INFORMATICS INTEGRATION TIP When integrating a new informatics solution into your lab, one thing you’ll want to make sure of is that the variety of instruments in your lab will be compatible with the new software. Make a list of your lab’s equipment and do your research to make sure it will work with the new informatics platform before you start. How does the scale (size, people, and processes) How will increases in scope or scale determine affect the ideal informatics set-up? which informatics system should be used? Modern informatics systems come in a variety of different types and Increases in scope or scale can bring up many fears for most configurations to suit any researcher’s needs. If you are part of a small laboratories. Failing to meet compliance, having a system which is research lab that works out of a single location with only a few tests, no longer fit for the purpose, or having an informatics system which using a hardware-based solution may be best.
    [Show full text]
  • Laboratory Informatics and the Laboratory Information System
    1 Laboratory Informatics and the Laboratory Information System DANIEL F. COWAN The primary objective of clinical laboratorians is to provide the highest possible quality of service to patients and those who care for patients. High-quality ser- vice encompasses accurate and precise analysis, timely, clear, and concise report- ing, and delivery of the service to a location in a format most valuable to the user of the service. Quality has also come to include elements of efficiency, effective- ness, analysis of diagnostic utility, and decision support.1,2 Delivery of the ser- vice has come to mean that integration into a comprehensive electronic medical record (EMR) is to be expected.3,4 Although it is widely accepted that about 70% of the information used in the management of patients comes from the clinical and anatomical pathology laboratories,5 in one large medical center in which information flow is tracked, about 94% of requests to the EMR are for laboratory results.4 In addition, a critical quality feature is the transformation of laboratory data into information.2,5,6–8 Drives for improved quality, integration, and efficiency have resulted in the incorporation of information technology and the personnel, policy, and proce- dural changes needed to exploit the technology into the clinical service labora- tory.9–11 This applies equally well to anatomic and clinical pathology. It seems clear enough that the managers of laboratory operations must understand infor- mation, the purpose of information, and the proper management of information in order to survive and prosper in an environment that demands an orientation to service and a full appreciation for the inter-relationship between processes and events.
    [Show full text]
  • Research Journal of Pharmaceutical, Biological and Chemical Sciences
    ISSN: 0975-8585 Research Journal of Pharmaceutical, Biological and Chemical Sciences Chemo-informatics Studies on Natural Occurring Naphthoquinone Coloring Agents. Vikas Gupta1 and Ajay Kumar2. 1GTBIT, Rajouri Garden, New Delhi-110065, India. 2Galgotias University, Plot No-2,Sector17A, Yamuna Expressaway, Distt Gautam Budh Nagar, UP, India. ABSTRACT Similarity studies of natural occurring naphthoquinone coloring agents, lapachol , chinone, chimaphilin, juglon, lawsonia, napthochinone yellow, Spinochrome D using Tanimoto coefficient and Euclidean Distance measurents are reported. C Algorithm and MATLAB Algorithm are developed for calculating the Tanimoto coefficient and Euclidean Distance values of coloring agents. The values of Tanimoto coefficient and Euclidean Distance obtained using both the algorithm are found to be same. Results shows that the compound Juglon and 5 Lawsonia have highest similarity with Tanimoto coefficient ,0.6 and Euclidean Distance , 1.414 and Chimaphilin has quite good similarity with Spinochrome D with Tanimoto coefficient .5714 and Euclidean Distance , 1.732. Lapachol and 2 Chinone also show good similarity with Tanimoto coefficient .5455 and Euclidean Distance , 2.236. Interestingly Napthochinone yellow and Chinone, have lowest similarity with Tanimoto coefficient 0.25 and Euclidean distance of 2.449. But both the compounds have good similarity Juglon and Lawsonia with Tanimoto coefficient 0.5 and Euclidean distance values of 1.41 and 2.0 respectively Keywords: Tanimoto coefficient, Euclidean Distance, Naphthoquinone coloring agents, C Algorithm , MATLAB Algorithm. *Corresponding author November - December 2014 RJPBCS 5(6) Page No. 110 ISSN: 0975-8585 INTRODUCTION The applications of information technology have given birth to different disciplines namely, Bioinformatics, Chemoinformatics, Geoinformatics, Health informatics, Laboratory informatics, Neuroinformatics, Social informatics.
    [Show full text]
  • Laboratory Informatics Guide 2021 Understanding the Needs of the Laboratory
    Laboratory Informatics Guide 2021 Understanding the needs of the laboratory From the publishers of SCIENTIFIC COMPUTING WORLD www.scientific-computing.com/lig21 Transform Digital Lab Consulting® provides independent strategic consulting to enable organisations of all sizes to transform their business through better use of informatics. We provide clear, actionable advice to help companies find the most effective solution for their environment. We have over 20 years of experience across the entire value chain, from early research to manufacturing. We are based in the UK and work globally with our clients and partners. Discover more at dlc.io +44 (0)1543 547607 [email protected] LABWARE LIMS and ELN in a single platform Automation software for all laboratories Offices worldwide supporting customers in more than 125 countries www.labware.com CDD BH EU 297x210mmV4.pdf 1 30/09/2020 11:54 CDD BH EU 297x210mmV4.pdf 1 30/09/2020 11:54 C M C Y M CM Y MY CM CY MY CMY CY K CMY K CDD BH EU 297x210mmV4.pdf 1 30/09/2020 11:54 Contents t is clear that Covid-19 has had a significant impact on laboratory operations. Even for laboratories that are not working directly on Covid-19 Itesting, drug and vaccine development, restrictions on laboratory space and access to equipment are putting a significant burden on scientists. Thankfully, laboratory informatics software tools can shoulder some of that burden by providing a platform for remote Software tools help combat Digitial transformation access, automation of laboratory operations 4 Covid-19 22 or by providing access to data and tools for collaboration to keep scientists working Robert Roe looks at how Covid-19 is driving Sophia Ktori looks at the role software plays in productively.
    [Show full text]
  • Chemical Informatics and Cyberinfrastructure Collaboratory a Project Funded by the National Institutes of Health Under The
    Chemical Informatics and Cyberinfrastructure Collaboratory A project funded by the National Institutes of Health under the NIH Roadmap Molecular Libraries Initiative for Exploratory Centers (P20) for Cheminformatics Research NIH Grant No. 1 P20 HG003894-01 (Fox) Geoffrey C. Fox, Principal Investigator October 1, 2005 – September 30, 2007 Page 0 Chemical Informatics and Cyberinfrastructure Collaboratory A. Executive Summary Chemical and life science research is capable of generating terabytes of data each day. Answers to health-related problems are buried in the data, and the computer techniques of informatics can help unearth sound medical solutions for the benefit of all. In conjunction with other units of Indiana University and external advisors, the School of Informatics and the Pervasive Technology Laboratories at Indiana University will use a grant from the National Institutes of Health to establish an exploratory center for cheminformatics research, the Chemical Informatics and Cyberinfrastructure Collaboratory (CICC). Over the next two years, the CICC will investigate novel approaches to assist in the discovery of new chemical compounds. Using powerful computer simulation and visualization environments, an integrated Chemical Informatics Cyberinfrastructure based on modern distributed service architectures will be constructed. The project will utilize the emerging high-capacity computer networks, powerful data repositories, and computers that comprise the Grid. This will ensure scalability, computational efficiency, and interoperability among heterogeneous components and will lead to the development of specific data-mining tools and applications for chemistry. The tools and infrastructure will be tested in real-life industry and academic science situations, so the approach can be assessed by practicing scientists, ultimately contributing to the design of a new kind of integrated discovery environment that will vastly speed up scientific research.
    [Show full text]
  • Laboratory Informatics Guide 2018
    LABORATORY INFORMATICS GUIDE 2018 www.scientific-computing.com/lig2018 FROM THE PUBLISHERS OF SCIENTIFIC COMPUTING WORLD AGILAB SCIENCE Powered by We don’t only provide LIMS, ELN or LES applications. We go beyond. Unified Laboratory Digital Platform Material Stability Formulations management Biology R&D studies Quality Equipment management management Chemistry R&D Interfaces & Security & Analytical data exchange Quality compliance testing control Resource management Embedded www.agilab.com analytics CONTENTS | LABORATORY INFORMATICS GUIDE 2018 WELCOME Over the few years that Europa Science has been producing the AGILAB SCIENCE Laboratory Informatics Guide, one constant has been the fact that the informatics industry does not stand still for long. On page 4 of this publication, we look at the effect that artificial RESHAPING THE FUTURE OF MEDICINE 4 intelligence (AI) technology is having on healthcare research, and the huge potential it has to shape the future. Combining traditional Robert Roe explores the use of artificial intelligence laboratory informatics processes with AI technology could open technology in healthcare and medicinal research up huge potential to advance research and provide faster and more specialised treatments to patients. The technology can be used to Powered by AGE OF DISRUPTION 8 approximate human cognition of complex medical data freeing A look back over the last 12 months, focussing on the researchers to work on other areas of the work and accelerating technology and processes driving trends in the laboratory research or helping a physician to get to an accurate diagnosis in We don’t only provide LIMS, less time. THE FUTURE OF LABORATORY INFORMATICS 12 It is clear that this is a time of real disruption in informatics, as we find on page 8.
    [Show full text]
  • Refined Solution How HPC Is Changing the Face of Oil and Gas
    www.scientific-computing.com April/May 2013 issue 129 Informatics in petrochemicals Geological applications Data retrieval Refined solution How HPC is changing the face of oil and gas COMPUTING SOLUTIONS FOR SCIENTISTS AND ENGINEERS Issue 129 April/May 2013 CONTENTS Laboratory Informatics News and products 4 Laboratory informatics systems are fuelling efficiency 6 Fuel the future Tom Wilkie reports on laboratory informatics in the petrochemicals industry As I write this, details of Pangea, Total’s new 2.3-petaflop supercomputer based at Statistical Science the company’s Jean Feger Scientific and Computing Centre (CSTJF) in southwest Retrieving data day queries 10 France, have been released. Felix Grant takes on the challenge of data retrieval and explores the issues Touted as the largest commercial HPC surrounding ballooning volumes system in the world, Pangea represents a valuable resource in the exploration of oil High-Performance Computing and gas reserves and will enable Total’s in- News and products 14 house engineers and geologists to develop more complete visualisations of seismic Digging for black gold 16 landscapes, while concurrently running HPC is a vital part of the oil and gas industry, simulations at 10 times the resolution as Warren Clark discovers of existing oil and gas reservoir models. From laboratory informatics and HPC Modelling and Engineering to modelling and simulation, computing technologies are playing fundamental Technology in Turin 23 roles within petrochemicals and oil and The 6th European Altair Technology Conference is coming gas industries. Our features on pages 6, 16 to Italy in April. We preview the event and 30 provide further perspectives.
    [Show full text]
  • BIT-2015-Agenda.Pdf
    Final Agenda Cover Cambridge Healthtech Institut e’s Fourteenth Annual Schedule-at-a-Glance APRIL 21 – 23, 2015 Plenary Sessions SEAPORT WORLD TRADE CENTER Awards CONFERENCE & EXPO ’15 BOSTON, MA Pre-Conference Workshops Enabling Technology. Leveraging Data. Transforming Medicine. IT Infrastructure – Hardware Software Development CONFERENCE TRACKS: PLENARY SESSION SPEAKERS: EVENT FEATURES: • Access All 12 Tracks for One Price Cloud Computing 1 IT Infrastructure – Hardware Philip E. Bourne, Ph.D. • Network with 3,000+ Global 2 Software Development Associate Director for Data Science Bioinformatics (ADDS), National Institutes of Health Attendees 3 Cloud Computing Next-Gen Sequencing Informatics • Hear 150+ Technology and Scientific Chris Sander, Ph.D. Presentations 4 Bioinformatics Computational and Systems Biology, Clinical & Translational Informatics Memorial Sloan Kettering • Attend Bio-IT World’s Best 5 Next-Gen Sequencing Informatics Practices Awards Data Visualization & Exploration Tools Cancer Center 6 Clinical & Translational Informatics • Connect with Attendees Using Pharmaceutical R&D Informatics Benjamin Heywood CHI’s Intro-Net 7 Data Visualization & Exploration Tools Co-Founder and President, • Participate in the Poster Clinical Genomics 8 Pharmaceutical R&D Informatics PatientsLikeMe, Inc. Competition Collaborations & Open Access Innovations 9 Clinical Genomics • Choose from 17 Pre-Conference Andreas Kogelnik, M.D., Ph.D. Workshops Cancer Informatics 10 Collaborations & Open Access Founder, Open Medicine Institute • See the
    [Show full text]
  • The Evolution of LIMS, ISO 1578 and the Future of Laboratory Informatics
    The Evolution of LIMS, ISO 1578 and the Future of Laboratory Informatics by Robert Benz Khemia Software, Inc. LIMS TNI Requirements 4.1.5, 4.13.3 and 5.4.7 Control of Data (ISO/IEC 17025:2005, Clause 5.4.7) 5.8.2, 5.8.5, and 5.8.7.3 ISO E1578 – 13 Laboratory Informatics 1. Scope 1.1 This guide helps describe the laboratory informatics landscape and covers issues commonly encountered at all stages in the life cycle of laboratory informatics from inception to retirement. It explains the evolution of laboratory informatics tools used in today’s laboratories such as laboratory information management systems (LIMS), laboratory execution systems (LES), laboratory information systems (LIS), electronic laboratory notebooks (ELN), scientific data management systems (SDMS), and chromatography data systems (CDS). It also covers the relationships (interactions) between these tools and the external systems in a given organization. The guide discusses supporting laboratory informatics tools and a wide variety of the issues commonly encountered at different stages in the life cycle. The sub‐sections that follow describe the scope of this document in specific areas. Specific to Environmental Increasing use of ELNs Importation of more field data/GIS Improved integration with other software platforms like SDMS Web portals becoming commonplace Instrument data/imports One‐offs & data points that do not fit – explanations or non‐conformance required IoT (Internet of Things)? Increase in automation ‐ QA/QC ‐ Artificial Intelligence What about machine learning? IoT by definition is: 3.2.14 Internet of things, IoT, n—a system of objects—computing devices, machines, objects, people, animals, etc.—that can connect to a network and communicate among themselves, often without human intervention.
    [Show full text]