Data modeling of scientific experimentation

Abstract

Microcomputers running data acquisition, analysis, and communication software have helped scientists automate their laboratories, improve the quality of research, enhance productivity, and facilitate collaboration. Despite the growing use of these and other software tools, reliance on the traditional pen and laboratory notebook for recording and organizing experimental data remains commonplace. This paper presents a data model of scientific experimentation for designing database systems that chronicle the empirical study of natural processes.