# Rucio - Scientific data management

## TL;DR

Rucio is an open-source framework designed for scalable, distributed scientific data management, supporting diverse research communities beyond its initial high-energy physics focus.

## Contribution

This paper introduces Rucio's architecture, core concepts, and operational experience, highlighting its adaptability for various scientific data management needs.

## Key findings

- Supports data distribution across heterogeneous data centers
- Successfully used in large-scale high-energy physics experiments
- Demonstrates effective management of diverse scientific datasets

## Abstract

Rucio is an open-source software framework that provides scientific collaborations with the functionality to organize, manage, and access their data at scale. The data can be distributed across heterogeneous data centers at widely distributed locations. Rucio was originally developed to meet the requirements of the high-energy physics experiment ATLAS, and now is continuously extended to support the LHC experiments and other diverse scientific communities. In this article, we detail the fundamental concepts of Rucio, describe the architecture along with implementation details, and give operational experience from production usage.