SCIENTRYScientific Entry System

Flexible, spreadsheet-inspired data management system for researchers

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🧬

Project-Based Organization

Create project containers that hold one or more models (like spreadsheets) with structured data management.

📊

Flexible Data Models

Define custom attributes with types (text, number, select, date) and validation rules for your scientific data.

🔐

Role-Based Access Control

Manage permissions with roles: Admin, Project Manager, Data Manager, and Researcher.

📁

File Management

Store and organize protocol files, images, and related documents with your datasets.

🔗

Data Linking

Create foreign key-like links between models to maintain data relationships.

📈

Visual Reporting

Generate charts, reports, and visual insights directly from your data.

🚀 Quick Start

SCIENTRY is designed to help researchers manage experimental data with structure, traceability, and collaboration in mind. Whether you're migrating from traditional spreadsheets or setting up a new project from scratch, SCIENTRY provides a user-friendly and robust environment.

Key Features

Replace error-prone spreadsheets with structured and validated data entry
Manage lab protocols and experimental files per dataset
Coordinate multi-user collaboration with defined roles
Maintain links between datasets via model references
Generate quick visual insights and downloadable reports

Who Is It For?

Research labs and institutions
Bioinformatics and life science teams
Environmental monitoring projects
Any group needing structured scientific data management

🛠 Tech Stack

Backend: Python (Flask)
Frontend: Vue 3 / Vite
Database: MongoDB
Documentation: VitePress

📬 Contact

Developer: Emilio Righi
Email: emilio.righi@crg.eu Lab: Roderic Guigó Lab – CRG Barcelona