Fundamental research in machine learning is inherently empirical, because the performance of machine learning algorithms is determined by how well their underlying assumptions match the structure of the world. Hence, no amount of mathematical analysis can determine whether a machine learning algorithm will work well. Experimental studies are required. To understand this point, consider the well...

In materials sciences, a large amount of research data is generated through a broad spectrum of different experiments. As of today, experimental research data including meta-data in materials science is often stored decentralized by the researcher(s) conducting the experiments without generally accepted standards on what and how to store data. The conducted research and experiments often involv...

This article presents a summary of key success factors for publishing research in top-tier IS journals; it is not intended to be an introduction to research, but to go beyond the "rational model" presented by most introductory works. The paper begins by discussing the processes by which research projects are identified and developed, specifically focusing on where project ideas are found and ho...

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