Fig. 1 | Scientific Data

Fig. 1

From: ML-extendable framework for multiphysics-multiscale simulation workflow and data management using Kadi4Mat

Fig. 1

(a) Data-Information-Knowledge (DIK) hierarchy of research data inspired by Chaffey and Wood, 2005 (Chapter 5)13,44. This hierarchy is analogous to a typical research data lifecycle, which starts as sets of discrete data. The data is processed into information and then further condensed into knowledge, which is generally documented in form of research articles. (b) Workflow of a simulation-based research, where various (meta)data aid the generation of raw simulation data. This data is further processed using scripts and macros on various software. The processed data is further analysed to form meaningful correlations, predictions and trends, which are ultimately published as scientific research.

Back to article page