IoS: A Needed Platform for Scientific Workflow Management

Abstract

Data analytics, machine learning, and artificial intelligence have found widespread application in science. They are usually employed as part of more extensive data analysis pipelines starting with raw data processing. Unfortunately, many tools that are not tested yet are used to support critical decision-making. The intended internet of science platform aims to overcome this issue and lead to sustainable, interoperable, reusable, and correct scientific workflow development. This paper calls for action to develop the internet of science to facilitate a future focus on collaborative knowledge discovery.