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Building a Smart Laboratory 2017 Contents


Contents/Introduction


Welcome to the smart


laboratory Tis year’s edition of Building a Smart Laboratory focuses on the benefits that implementing paperless technologies can provide in both regulated and non- regulated environments. With increasingly stringent regulatory requirements facing many industries, the smart laboratory offers the most efficient and cost-effective way of meeting these requirements. As the data integrity article on page


An introduction to Building a Smart Laboratory 2017


4


Choosing the right software can be a complex task. This introduction sets out procedures that must be followed to implement paperless technologies in the lab – with a particular focus on data-intensive science and new trends


Data Integrity takes centre stage 6


The smart laboratory can help maintain data integrity. But, as Isabel Muñoz-Willery and Robert Castelnovo discuss, the place to start is with an organisation’s business needs, not the technology and informatics tools themselves


Dealing with data 10


Managing change in the laboratory: informatics providers share their experiences on the importance of using the latest laboratory informatics technology


The smart laboratory 12


An introduction to the concept of a ‘smart’ laboratory based on the


data/information/knowledge triangle – joined-up science. The progressive digitisation of the laboratory offers unprecedented opportunities to increase the efficiency and productivity of scientific work


Data: Instrumentation 14


An overview of the types of laboratory instruments and their capabilities, emphasising the changing requirements for being ‘smart’. We look at the latest progress towards truly digital laboratories


Information: Laboratory informatics tools


19


An overview of laboratory informatics tools – laboratory information management systems, electronic laboratory notebooks, laboratory execution systems and scientific data management systems – and how convergence is changing the informatics market


www.scientific-computing.com/BASL2017


Knowledge: Document management


26


How the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Access to, and the preservation of, explicit knowledge has traditionally been achieved with paper; the digital age presents a new set of challenges


Beyond the laboratory 29


How the smart laboratory can help to improve your business, through greater productivity and efficiency, better integration with existing systems, better regulatory compliance, and data integrity and authenticity


Practical considerations


in specifying and building the smart laboratory


36


How to go about building a smart laboratory; what approaches to take, and how to deal with potential roadblocks. Becoming ‘smart’ takes time – not least because of the investment required, but also because of the impact of the change and the need to consider legacy requirements


Knowledge: Data analytics 40


Taking the theme of knowledge management beyond document handling into the analysis of data to help develop new products or improve existing ones


Summary 41


Pulling together the various threads on how to make the laboratory ‘smart’, and recognising that being smart is a journey, not a destination


References and further reading 42


l Further reading l References


6 highlights, while informatics tools can already solve the regulatory issue for laboratories the correct system must be identified and implemented. Tis requires users to understand the capabilities of a potential system and the needs of the laboratory so that they can properly build their informatics tools from the ground-up with this knowledge. Although the point is made in the


context of data integrity, it is the essence of this entire publication: building a smart laboratory can solve many business problems, but in order to make sure that it is truly ‘smart’ some clear thinking needs to be done in advance. Technology will not do our thinking for us, but the hope is that this guide will offer some pointers along the way to a paperless and smart laboratory. While this guide does provide all the


answers, it does provide an introduction to everyone that faces the challenge of increasing productivity, reducing costs and increasing data integrity – in short, making the laboratory ‘smart’.


The authors of the guide are: Peter Boogaard Industrial Lab Automation Siri Segalstad Segalstad Consulting AS


Joe Liscouski Institute for Laboratory Automation


Charlie Sodano eOrganizedWorld John Trigg phaseFour Informatics Ltd Isabel Muñoz-Willery NL42 Consulting SL Roberto Castelnovo NL42 Consulting SL


Cover image: Shutterstock.com


Building a Smart Laboratory is published by Europa Science, the publishers of Scientific Computing World (ISSN 1356-7853). ©2017 Europa Science Ltd. 4 Signet Court, Cambridge, CB5 8LA, UK. All images Shutterstock.com


Tel: +44 (0)1223 221033. Fax: +44 (0)1223 213385. www.scientific-computing.com/BASL2017


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