Digitization: The Lab of the Future

11th July, 2022.      //   Technology  // 

Digitization: The Lab of the Future

Dr. Samantha Kanza is a senior enterprise fellow at the University of Southampton, where she works on several research projects, including the digitization of scientific research. At the Future Labs Live event 2022, Kanza presented a talk titled “The effects of COVID-19 on the digitization of scientific research”, where she discussed attitudes to electronic implementation in the laboratory, how this has been affected by the global pandemic and her visions for the laboratory of the future.

What is meant by electronic implementation in the laboratory?

It is the use of technology in the laboratory, including both hardware and software to electronically capture data and information in the lab. This could be instruments, software packages, electronic lab notebooks and other digital platforms, or the hardware used for this capture, such as an iPad or computer.

What key barriers to electronic implementation in the lab have you identified?

There are a lot of different barriers, and unfortunately despite improvements in technology many still apply today. Some barriers appear more in academia, such as cost, both with respect to paying for ELN subscriptions, or new equipment/software, and the hidden time costs to implement any new system in a laboratory.

Accessibility is also a huge barrier. Many academic laboratories aren’t set up for the digital capture of laboratory information, both from a hardware and software perspective. Equipment is outdated (requiring the use of legacy machines and software), software packages do not play well together and there is lack of physical space to even sit a laptop or iPad to record scientific research digitally.

The lab can often be a hostile place for technology. Many researchers will be concerned at the idea of taking their laptops into the lab in case chemicals get spilt on them. Further, scientists find the act of taking their gloves off to type notes into a computer very distracting and intrusive, substantially more so than just making notes in a lab book, meaning that integrating the use of a system that requires typing into the laboratory workflow is very challenging.

Software compatibility is also an issue. During my ethnographic studies I observed scientists (in this instance, crystallographers) needing to use multiple different software packages during their laboratory work and manually transfer data between them because the software packages they required were not compatible with one another. This makes it even more challenging to encourage the adoption of digital technologies and devices in the lab.

You note that, electronic implementation in the laboratory requires a change of attitude and organization, just as much as it does technology. 

Attitude is an ever-perpetuating barrier. Many academics do not want to give up using paper or paper lab notebooks in the laboratory., Unfortunately that attitude is reflected in some of the students both as they go through their degrees in the habit of using paper-based methods to record their work, and then don’t see the value of using digital methods as they progress to postgraduate study. It isn’t a bad thing that the academic environment is more freeform than industry, but it is an issue that students aren’t being taught the value of digitizing their research and that a great deal of research gets lost in the pages of lab books.

Further, in general, people can be afraid of change. It can be very challenging to persuade an entire research group to adopt a new piece of software or even more challenging to persuade them to adopt an entire new set of digital processes. This is a socio-technical task that cannot rely purely on technology, we need the support and adoption of users if we are to make improvements in these areas.

We need to start early and educate our young researchers on not just the importance of digitizing scientific research, but also provide them with the best methods and tools to realize this endeavor.

What impact  COVID-19 pandemic is having on digitization in the laboratory?

COVID-19 has increased digitization somewhat and has increased it more significantly in certain areas. There is certainly a much higher use of software to conduct research activities, although with the participants of our study (predominantly PhD students, early career researchers and established researchers) we found that this was mostly centred around organizational software and communication software. Unfortunately, a lot of the barriers to digitization remain the same, and while COVID has paved the way for some improvements, we still have a long way to go. Additionally, some systems were implemented quickly as a necessity through COVID, so it is important to ensure that they remain fit for purpose in the longer term.

Interestingly, one of the main changes we observed was the significant uptake of Juypter Notebooks (a web-based interactive development environment for notebooks, code and data). However, I do not think that this was due to COVID, they just happened to align with the timescales of COVID. It does demonstrate however that more and more scientists are writing code and want to be able to store their code and data together. It also shows that with information that naturally aligns itself to electronic storage (e.g., code/datasets) that scientists are making use of digital tools. The challenge is to widen that pattern into all scientific research and data, even that which does not align as naturally with electronic capture.

Something that I am really interested in, and that I will be investigating next is talking to and surveying the student generation that started their studies during the pandemic, as it will be very interesting to see if or how their perspectives on digitization and the use of digital tools differ, given that they would not have started their studies in an environment where paper lab notebooks were the norm.

What are the required technologies for electronic implementation in the lab?

We need integration software to enable existing software to work together (e.g., notebooking software and domain-based software), and specialist software for the different domain-based needs of the diverse physical sciences community.

We need data standards and the automatic capture of metadata. Alongside this, we also need data format converters as one of the big issues in scientific research currently is both the lack and saturation of data standards and the fact that researchers are all either using different standards or no standards at all. It is highly unlikely that we will ever persuade the entire community to use one or two standards, and some domains do require specific standards for specific things. However, if we can identify the most prevalent standards for data and metadata and work out how to convert between them such that then suddenly data can be used in multiple software packages (that utilize different standards) and different researchers can use data in different forms to link with their own data, that will make a major improvement to digitization.

Further, we need semantic enrichment of our data, which involves identifying the relevant ontologies and identifying where there are gaps in the available schemas.

Finally, we need hybrid technologies and a variety of methods for data capture (including paper-esque methods and voice). One of the biggest reasons that our labs aren’t entirely digital is the ease of use and many other affordances of paper over using a laptop or desktop computer. Short of coming up with an entirely new ergonomic design of the computer (which may well happen in the future) there are limitations to how well a desktop or laptop can fit into the laboratory workflow right in the middle of running an experiment. However, there are other technologies that can be used in that place; hybrid notebooks or smart notebooks where users can write on them like paper could be a way of capturing this information electronically and in the freeform method that users like imparting it. Further, the use of voice would preclude the requirement to even write things down.

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