Bioprocess Digital Twin Deployment Readiness Toolkit (v3.0.0) and AD reference scenario assessment data for the TRL–DRL–α framework
Publication Date
October 13, 2026
Creators
Bai, Chengwan
Gomes Rachel Louise
Fisher, Oliver
Institution of Chemical Engineers, University of Nottingham, University of Surrey
Description
Version 3.0.0 of the Bioprocess Digital Twin Deployment Readiness Toolkit, a browser-based application implementing the scoring and role-mapping rules of the role-based TRL–DRL–α framework for biomanufacturing digital twins. Within a user-defined system boundary and deployment context, the toolkit records the Technology Readiness Level (TRL) of the physical process, the Data Readiness Level (DRL) band and eight alignment (α) criteria, then tests operational roles from the target role downwards to identify the highest role a digital twin can currently support: R1 (offline analysis and open-loop decision support), R2 (online, operator-mediated support) or R3 (automated closed-loop optimisation or control). Every unmet requirement is reported as a deployment constraint, and results can be exported as JSON. The deposit also contains the input scores and assessment output for the AD reference scenario reported in Section 5 of the companion article "Digital Twins That Deliver: A Role-Based Deployment Readiness Framework for Biomanufacturing Systems". Source code is released under the MIT Licence (see LICENSE file); data and documentation under CC BY 4.0. A live version is available at https://chengwanbai.github.io/DT-Framework-tool/.
Associate publ. Title
Digital twins that deliver: a role-based deployment readiness framework for biomanufacturing systems
Subjects (JACS)
Subjects (LC)
Divisions
Data type
Other
Data collection method
Compilation/Synthesis
Legal and ethical issues
No personal or sensitive data. Source code, data and documentation were created by the authors. Figures are reproduced from the companion article.
Resource languages
English (UK)
Publisher
University of Nottingham
Date Issued
October 13, 2026
Except where otherwise noted, this item's license is described as
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trl-drl-alpha-assessment.json
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