The FAIR (Findable, Accessible, Interoperable, Reusable) principles, initially introduced in 2016 , were formulated with the primary objective of promoting the reuse of scientific data and data management , which were later extended to research software and workflows with the goal of uniformity and reusability. Since the advent of FAIR principles, different tools have been developed to enable uniformity in these workflows . Generally, the initial workflow design plans are focused on the research goal rather than the FAIRification of the workflow; hence, the FAIR guidelines are not defined early in the process. Such workflows remain "unmanaged" , which leads to inconsistency and a lack of reusability across different systems.