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Building a Smart Laboratory 2018 Building a Smart Laboratory 2018 An introduction to the integrated lab From the publishers of From the publishers of www.scientific-computing.com/BASL2018 Pharma&Biotech The MODA™ Platform The Missing Piece in Your Lab Systems Portfolio MODA-EM™ Software for QC Micro – Implement, Validate, Integrate Seamlessly. Lonza’s MODA-EM™ Software is purpose-built for QC Microbiology’s unique – Reduce investigation and reporting time with rapid analysis challenges. MODA™ Software delivers better business alignment with QC, and visualization of Micro data at a lower total cost of ownership versus customizing your existing LIMS – Manage, schedule and track large EM and utility sample volumes or other lab systems. – Reduce errors while improving compliance and data integrity – Deliver measurable return on investment from time, cost and Find the missing piece in your lab systems portfolio. compliance savings Visit www.lonza.com/moda or contact us at [email protected] © 2015 Lonza www.lonza.com/moda MODA IT Ad 0715 for Scientific Computing World MODA_IT_Ad_Comps_final_selection.indd 1 7/27/15 5:27 PM Contents WELCOME TO THE SMART LABORATORY his year’s edition of Building a Smart Laboratory discusses the importance of developing a robust strategy for the deployment of paperless lab Ttechnology. As the article on page 6 discusses, in order to gain the most insight and value from paperless technology there needs to be a consistent and comprehensive approach that covers the four most important pillars; connect, manage, decide, archive. As laboratories seek to drive more value and to move from a cost centre to being a value 4 An introduction to building 26 Knowledge: Document proposition for an organisation, it is important a smart laboratory 2018 management that all knowledge can be used effectively to generate the largest return on investment. The This introduction sets out procedures to help lab How the smart laboratory contributes to the only way to truly achieve this is to adopt smart users implement paperless technologies in the lab requirements of a knowledge eco-system, and the – with a particular focus on data-intensive science practical consequences of delivering access and laboratory technology. and new trends preservation of knowledge that was traditionally This is a consistent theme throughout stored in paper archives the entire publication. Building a smart laboratory can provide huge benefits to an organisation in terms of increased productivity 6 The key layers to a paperless strategy 30 or value generation, but also through collection Beyond the lab management and archiving of data. However, Developing a robust strategy is a key concern in order to make the most of the investment when deploying paperless laboratory technology, How the smart laboratory can help to improve your business, through greater productivity in ‘smart’ technologies, it is imperative that a write Isabel Muñoz Willery and Roberto strategy is devised that can look at the needs Castelonovo of NL42 Consulting and efficiency, better integration with existing systems, better regulatory compliance, data to the lab and its users to properly adapt and integrity and authenticity configure the technology accordingly. Technology will not do the thinking for us, 10 Dealing with data but if properly constructed a smart laboratory Informatics providers share their experiences Practical considerations in can add considerable value. While this guide on the importance of using the latest laboratory 36 specifying and building the cannot provide all the answers, it does provide an technology smart laboratory introduction to everyone that faces the challenge of increasing productivity and data integrity for This chapter focuses on how to go about building the modern laboratory workflow. a smart laboratory with information relating to 12 Smart laboratories approaches to take, and potential roadblocks An introduction to the concept of a ‘smart’ The authors of the guide are: Peter Boogaard laboratory, based on the data/information/ Industrial Lab Automation knowledge triangle 40 Knowledge: Data analytics Siri Segalstad Taking the theme of knowledge management Segalstad Consulting AS beyond document handling into the analysis of Joe Liscouski Institute for Laboratory Automation 14 Data: Instrumentation data to help develop new products or improve Charlie Sodano existing ones eOrganizedWorld We look at the latest progress towards truly John Trigg digital laboratories, with a focus on the types of phaseFour Informatics Ltd laboratory instruments and their capabilities 41 Summary Isabel Muñoz-Willery Pulling together the various threads on how to NL42 Consulting SL make the laboratory ‘smart’ this chapter hopes to Roberto Castelnovo NL42 Consulting SL Information: Laboratory lay out the most important factors that must be 19 considered informatics tools Cover image and all other images: Shutterstock.com Building a Smart Laboratory is published by Europa Science, the An overview of laboratory informatics tools publishers of Scientific Computing World (ISSN 1356-7853). ©2018 – LIMS, ELN, LES and – how convergence is 42 References and further reading Europa Science Ltd. 4 Signet Court, Cambridge, CB5 8LA, UK. changing the informatics market All images Shutterstock.com Design: Zöe Andrews Tel: +44 (0)1223 221033. Fax: +44 (0)1223 213385. www.scientific-computing.com/BASL2018 www.scientific-computing.com/BASL2018 3 An introduction to: Building a Smart Laboratory 2018 Building a Smart Laboratory 2018 AN INTRODUCTION TO Building a Smart Laboratory 2018 It’s rare for a company to start with sharing, the barriers to implementing successful a clean slate when making decisions Paperless or less paper? electronic integrated processes often remain a about laboratory automation bridge too far. Data-intensive science is becoming far more mainstream; however, going digital in the The informatics journey laboratory has been a relatively slow process. More his chapter serves as an introduction than 75 per cent of laboratory analysis starts with to this guide Building a Smart The journey starts with data capture, data a manual process such as weighing; the majority Laboratory 2018. We hope to highlight processing, and laboratory automation. When of results of these measurements are still written the importance of adopting smart samples are being analysed, several types of down or re-typed. Tlaboratory technology but also to guide users scientific data are being created. They can be There are exceptions: probably the best through some of the challenges and pitfalls when categorised in three different classes. example of integrated laboratory automation designing and running the latest technologies in Raw data refers to all data on which decisions can be found in how chromatography data the lab. are based. Raw data is created in real-time from an handling systems (CDS) operate in modern For any laboratory a cost/benefit analysis instrument or in real-time from a sensor device. laboratories. The characteristics of such a system needs to consider the functionality already Metadata is ‘data about the data’ and it is used include repeatable, often standardised, automated provided by legacy applications – as well as for cataloguing, describing, and tagging data processes that create a significant amount of raw business justifications. This guide will help you resources. It adds basic information, knowledge, and processed data. understand what informatics processes are and meaning. Metadata helps organise electronic The paper versus paperless discussion is as needed in laboratories, and why the laboratory resources, provide digital identification, and old as the existence of commercial computers. In should not merely be seen as a necessary cost helps support archiving and preservation of the the 1970s, just after the introduction of the first centre. resource. personal computer, Scelbi (Scientific, Electronic Only by becoming smart – as this guide Secondary or processed data describes how and Biological), Business Week predicted that outlines – can lab managers change that mind-set raw data is transformed by using scientific computer records would soon completely replace and generate true value for their organisation. methodologies to create results. To maintain paper. It took at least 35 years before paperless Many laboratory operations are still data integrity, altering methods to reprocess will operations were accepted and successfully adopted predominantly paper-based. Even with the require a secured audit trail functionality, data in many work operations. Although they have enormous potential to reduce data integrity and access security. If metadata is not captured, been accepted in banking, airlines, healthcare, and for compliance, to make global efficiency gains the ability to find and re-use previous knowledge retail, they lag behind in science. in manufacturing and to increase knowledge from scientific experiments is eliminated. The journey from paper to electronic begins 4 www.scientific-computing.com/BASL2018 Building a Smart Laboratory 2018 An introduction to: Building a Smart Laboratory 2018 with the transition from paper to digital, which changing to a new model based upon a ‘pay-as- mainstream adoption. The acceptance of tablets includes both the transfer of paper-based you-go’ or philosophy (OPEX). CRM applications and mobile devices will expand exponentially in processes to ‘glass’ and the identification and such as SalesForce.com started this business the laboratory. adoption of information
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