RSRCH is developed in co-creation with a leading Academic Medical Centre. The result? A platform focussed on the scientist and the research Institute.
Every year, a new Gartner Hype Cycle for Healthcare Providers is published. For the past few years, this has included the so-called ACRIS. ACRIS is short for Advanced Clinical Research Information System. Generally speaking, this is a platform that allows (biomedical) researchers to import, prepare and analyse data using a variety of tools.
The RSRCH Platform is an example of an ACRIS. In addition, Gartner recently published its analysis of Data Science & Machine-Learning Platforms and Analytics & Business Intelligence Platforms in the form of Magic Quadrants (MQs). What can we learn from this analysis? In this blog article, Jeroen Luigjes, Managing Director, answers a few questions.
“Data analysis is an important aspect of the RSRCH Platform. We offer standard tools for this purpose. On top of that, researchers have the option to install their own tooling. We therefore strive to stay up to date on the various suppliers of analytics tooling, so we can offer our clients good advice and a high quality of service.”
“Major shifts can be seen in Gartner’s MQs. I believe that is partly due to the rapid changes in the use of tooling for statistical analyses. SPSS is a dominant player in this field, but a shift to e.g. R and Python is taking place. This has led to the rise of the data scientist. This type of environment imposes entirely different requirements on a research organisation, e.g. regarding version management and the use of libraries. The fact that SPSS is still commonly used is because many educational programmes still include it as part of their curriculum. However, more and more subjects also teach the use of R.”
“That depends entirely on the type of user and the environment they operate in. To me, the MQs are useful for inspiration, but you should not rely on them too much. For example, preclinical research and clinical research might require entirely different tools. We therefore take the type of user into account. In any environment, there are users who prefer to write their own code, those who like a low-code environment and those looking for ready-to-use apps developed by other researchers. I believe that the RSRCH Platform offers an excellent mix of standard features and the new data science tools. This gives researchers the flexibility they need to conduct their research.”
What do you see in Gartner’s new Magic Quadrants?