the LotF, whether it is the “raw” data coming off the instruments or the “refined” result data derived from the raw data, will continue to be key to the LotF; if anything, the criticality and value of the digital assets generated by LotFs will become even more important in the future. Data‐focused technologies and standards such as IoT, FAIR, SiLA, and Allotrope will ensure that the high‐value digital assets are well managed and secured. The increasing focus on data privacy, security, and protection will put heavy pressure on LotFs with regard to good governance and compliance.
Finally, when considering new technologies such as AI/ML and quantum computing, and new science such as CRISPR and CAR‐T, we feel we cannot overstress that science, technology, research, and development never cease to evolve. New discoveries are being made constantly, and these will without doubt have an impact on the LotF in ways we cannot predict now, in 2021. We can state quite confidently that there will be some technologies or scientific discoveries we have not mentioned here, which will affect significantly what happens in the labs of the future. We have highlighted those we feel now are important to help guide and stimulate you, the reader as you try to understand where and how the LotF is likely to develop. There will be others. In fact during 2020 a number of the themes and directions we have highlighted in this chapter have come to pass as the world has grappled with the momentous events surrounding the SARS‐CoV‐2 (COVID‐19) pandemic. The pace of scientific and medical response to understanding the virus and its treatment has been unparalleled. Global, open and collaborative sharing of data and information on the virus itself, on the epidemiology of the disease, on its acute treatment through, for example, accelerated drug repurposing and the development of an effective vaccines, has allowed enormous progress to be made towards helping the control of the virus [112]. New technology has also enabled safer lab working to cope with COVID-19 restrictions (e.g. equipment booking, lab capacity planning, remote access to instruments supporting home working, and tracking of contacts). Technology and automation have supported the faster establishment of new test facilities, but there have been differences in approach between larger and smaller local labs, and between different countries, e.g. between Germany and UK (in the UK these are known as “Lighthouse Labs” [113]). And new science has played a huge role in the development of the many potential vaccines currently being progressed and trialled in labs and clinics across the world [114]. Nevertheless, despite this explosion of cross-border, cross-research group and company collaboration, there have still been challenges around speed of data sharing, data accuracy and trust in the information being disseminated widely, particularly as that sharing has often happened without or before robust peer review [115]. This tells us that there is still a long road ahead on the LotF journey. Most assuredly though, the lab of the future in say, 2030, will be very different from the lab of 2020; but it will be a fascinating, exhilarating and safer place, not only to work, but also to have your work done, and to do new science.
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