Behind the curtain of clinical data science

Abstract

Analytical pipelines and software processing biological data have become standard. The software tools development does not end with a release because continuous maintenance and further improvement of knowledge and data science behind is always necessary. A large part of the knowledge integration plays data. Data is an essential part of any analytical pipeline and may significantly impact on the result’s correctness, precision, and interpretation. An equally important part is the data representation itself and its comprehensibility. Moreover, the rapidly changing world of science, as well as technological progress (e.g., artificial intelligence), brings further challenges.