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ZENODO
Report . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
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Refining Scenario Reporting: Developing a Glossary for Enhanced Interpretability and Replicability in Scenario-Based Research

Authors: Myrén, David;

Refining Scenario Reporting: Developing a Glossary for Enhanced Interpretability and Replicability in Scenario-Based Research

Abstract

Background:Scenario-based research is widely used across multiple disciplines to study decision-making, coordination, and complex systems. However, inconsistent terminology and insufficient descriptions of scenarios in reports reduce interpretability, hinder replication, and negatively affect inter-organizational collaboration and policymaking. Objective:The aim of this study was to develop a glossary that improves how scenarios are described in scientific and organizational reports. The target group consisted of professional scenarists, researchers, and practitioners from multiple domains, including healthcare, emergency services, security, and simulation-based training, who design, analyze, or use scenarios in their work. Results:Through interviews with nine participants from diverse professional fields, the study identified 46 terms organized into nine categories, including scenario types, components, roles, evaluation, and logistics. The resulting glossary captures both qualitative and quantitative dimensions of scenario design and reporting and reflects a broad shared understanding across organizations, while also highlighting variations in terminology use. Conclusion:The developed glossary provides a structured framework for improving the clarity and completeness of scenario descriptions. It has potential applications as a checklist for reporting and as a tool for enhancing communication and shared understanding between organizations. Further validation is needed to ensure its applicability across additional domains.

Keywords

(MeSH) Communication, (MeSH) Interviews as Topic, (MeSH) Decision Making, (MeSH) Emergency Preparedness, (MeSH) Simulation Training

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green