My research is about the interaction of (machine) representation and the impact on the success of data analysis (matchine learning, chemometrics, AI, etc). See the posts about molecular chemometrics. This got me into FAIR: making data interoperable and being able to (really) reuse data is the starting point of doing research.

This paper got published in July already, but I had not had the time yet to blog about this exciting work by Irini Furxhi and Ammar Ammar: A data reusability assessment in the nanosafety domain based on the NSDRA framework followed by an exploratory quantitative structure activity relationships (QSAR) modeling targeting cellular viability (doi:10.1016/j.impact.2023.100475) The study has two sides to it: first, it looks into how far we