| orisma-package | R Documentation |
orisma is an R package for systematic bibliometric mapping of
occupational risk evidence. It is designed to help researchers and
occupational safety and health practitioners analyse whether the scientific
literature on a given topic is connected to workers, workplaces, exposure
conditions and preventive decision-making.
ORISMA provides a complete workflow for occupational risk evidence mapping:
multi-source bibliographic ingestion;
deduplication;
relevance filtering through orm_relevance_guard() and orm_run_guarded();
risk category extraction using a 58-category occupational risk dictionary;
preventive bibliometric indicators such as WRDI, RCS and MGP;
Abstract Sufficiency Score (ASS);
Bridge Article Score;
bilingual academic reports and practitioner-oriented risk sheets.
Typical workflow:
library(orisma)
refs <- orm_load("my_references/")
result <- orm_run_guarded(
refs,
topic = "Collaborative robotics and occupational health and safety",
mode = "conservative"
)
orm_report(result)
orm_risk_sheet(result)
WRDI: Worker-Risk Disconnection Index.
RCS: Risk Category Saturation Index.
MGP: Material-Gap Profile.
ASS: Abstract Sufficiency Score.
Bridge Article Score.
Aguilar-Elena, R., & Delgado-Garcia, A. (2026). orisma:
Occupational Risk Integrated Systematic Mapping and Analysis.
R package version 0.1.0. Universidad Internacional de Valencia (VIU)
& Universidad de Salamanca (USAL).
https://github.com/Aguilar-Elena/orisma
Raul Aguilar-Elena raguilar@universidadviu.com
Occupational Risk Prevention and Occupational Health Research Group (GPRL),
Universidad Internacional de Valencia (VIU), Valencia, Spain.
Ana Delgado-Garcia a.delgado@usal.es
Universidad de Salamanca (USAL), Salamanca, Spain.
Maintainer: Raúl Aguilar Elena raguilar@universidadviu.com (ORCID)
Authors:
Ana Delgado-Garcia a.delgado@usal.es
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