Structural coding, assisted by numerical and causal attributes, of a literature corpus

Published: 7 January 2022| Version 1 | DOI: 10.17632/gzfbzfgk79.1


These data sets are the categorization of a literature corpus studied for our article on power modeling and measurement methods for servers. The data set clustering is done based on our method presented in 'PAD: a graphical and numerical enhancement of structural coding to facilitate thematic analysis of a literature corpus' that show how a literature corpus can be systematically organized, based on each individual study's addressed problem(s), taken approach(es), and derived outcome(s). These data sets give a quick overview to the researchers working in the direction of server power modeling and help them identify the least or most studied problems, approaches, and outcomes in this domain, as well as the problem -> approach and problem->approach->outcome(developments) trajectories.



University of Malta, Universita degli Studi di Genova


Categorical Data Analysis, Thematic Analysis, Methodology