An overview of the software components, which create our bridge between trust and control, is shown in Fig. . The central pillar is formed by AiiDA, 9 providing a base of trust by tracking the provenance of data, collating it on a per-sample basis into digital twins, which are further discussed below. In this implementation, the human-facing aspect of control is provided by AiiDAlab, allowing users to design their studies via a web-based user interface, which can be rapidly prototyped and easily deployed using modular components. Data visualisation and reporting can be implemented via AiiDAlab. Examples of user interfaces, developed for battery materials research and packaged into the AiiDA-Aurora plugin, are presented in the Case study section, below. Automated control via external modules, using e.g. machine learning approaches, as well as AiiDA's interface for computational tasks, are core and well established features of the AiiDA ecosystem, and are discussed elsewhere. 9