Related Experiment Video
Updated: Aug 10, 2026

08:58
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
Published on: October 17, 2025
The DSR-PRISMA protocol: Embedding systematic knowledge mapping into design science research for applied technology
1Faculty of Data Science, University of Finance-Marketing, Ho Chi Minh, Viet Nam.
Methodsx
|August 9, 2026
Summary
This study introduces the Design Science Research-PRISMA Protocol, enhancing reproducibility in applied technology research. It provides a structured seven-phase approach with traceable documentation from evidence to design knowledge.
Area of Science:
- Applied technology research
- Information systems
- Computer science
Background:
- Design Science Research (DSR) often lacks traceable literature reviews and abstracted design knowledge, hindering reproducibility.
- Current DSR practices struggle to connect evidence to requirements and artifacts, and evaluations to claims.
Purpose of the Study:
- To introduce the DSR-PRISMA Protocol, embedding PRISMA 2020 within the DSR rigor cycle.
- To enhance the traceability and reproducibility of Design Science Research studies.
Main Methods:
- The protocol comprises seven phases: problem framing, systematic knowledge mapping, requirement derivation, artifact design, demonstration, evaluation, and knowledge abstraction.
- It utilizes six worksheet instruments (T1-T6) and three traceability rules for documented evidence-to-knowledge chains.
- A worked example in AI solution selection and two mini-scenarios demonstrate the protocol's application.
Main Results:
- The DSR-PRISMA Protocol establishes a documented chain from evidence to design knowledge, improving auditability.
- A finding-gap-requirement table bridges the gap between review findings and traceable design requirements.
- Worksheet templates and a reporting checklist facilitate auditing of DSR phases for authors and reviewers.
Conclusions:
- The DSR-PRISMA Protocol offers a rigorous framework for DSR, significantly improving study reproducibility.
- It provides essential tools for authors and reviewers to ensure transparency and verifiability in applied technology research.
- The protocol addresses critical gaps in current DSR methodologies, particularly in linking evidence to actionable design requirements.
