PULSE

PULSE (Project Unit Logistics & Statistics Engine) is an open-source, multi-tenant R Shiny platform for biostatistics and data-management units.

Abstract

PULSE is a specialized multi-tenant Shiny platform designed for biostatistics and data-management teams. It acts as a central system for tracking project progress, deadlines, and team capacity while standardizing operational workflows. The platform includes structured repository creation, granular task tracking linked to sub-deliverables, adaptive protocol representation forms, and dashboard visibility for unit-level performance.

PULSE is designed to show biostatistics as a full scientific discipline that spans design logic, data governance, methodological planning, and publication strategy, rather than being treated as analysis-only support at the end of a project.

Rationale

Clinical research operations often rely on fragmented tools such as spreadsheets, manual folder setup, and static documentation. PULSE was developed to replace that fragmentation with a coherent, auditable workflow framework built around five pillars.

  1. Standardization: a controlled folder glossary and automated repository setup reduce onboarding time and improve consistency across projects.
  2. Granular tracking: deliverables can be tracked at manuscript, SAP, and sub-task level for realistic workload visibility.
  3. Data isolation and security: multi-tenant structure keeps unit-specific data separated while supporting shared platform governance.
  4. Adaptive documentation: protocol representation uses dynamic forms so requirements reflect study type without unnecessary noise.
  5. Elevating biostatistical scope: the platform supports design, data management, and governance workflows across the full project lifecycle.

Personal Statement

Developing PULSE has focused on reducing administrative friction so scientific rigor can remain central. The design principle was flexibility within a framework: structured enough to support quality control and governance, but flexible enough for the non-linear reality of real research programs.

The interface and workflow decisions were made so that managers and analysts can quickly find actionable project information, while preserving the depth required for methodologists. PULSE is intended not only as a tracker, but as infrastructure that improves transparency, reproducibility, and recognition of biostatistical leadership from inception to publication.

Source

Open Repository

Run Locally

git clone git@github.com-mapel:MaPeL-LAB/pulse-app.git
cd pulse-app
Rscript -e "shiny::runApp('.')"

Notes

This project is maintained as an independent repository and can be developed and tested outside this website.