Materials Commons: A Collaborative Research Data Platform#
Key Features#
Storage and Collaboration#
Secure file storage with mirroring across data centers
Version control for all files
Collaborative access management
Progressive metadata enhancement capabilities
Protection against data loss from hardware failures or personnel changes
Data Publication and Tracking#
Digital Object Identifier (DOI) assignment
Citation tracking
Download and view statistics
Integration with Google Dataset Search
Indexing by data publication sites
Community association features
Integration Options#
Web Interface#
Interactive website for file management
Built-in file uploader
Globus integration for large data transfers
Command Line Interface (CLI)#
Automated file uploads and downloads
Project management capabilities
Script-friendly for workflow integration
Batch processing support
API Access#
Comprehensive API for software integration
Used by facilities like CHESS
Custom workflow implementation
Direct integration with existing software stacks
Getting Started#
Create an account
Set up your first project
Begin uploading data
Add collaborators as needed
Manage multiple projects
Transfer data between projects
Note
You can create unlimited projects and easily share data between them to support different research paths.
Conclusion#
Materials Commons provides a comprehensive solution for research data management, combining secure storage, collaboration tools, and flexible integration options. Its features support the entire research lifecycle, from data collection to publication, while ensuring data preservation and accessibility. Whether you’re a single researcher or part of a larger team, Materials Commons offers the tools needed to manage your research data effectively.
Getting Started
Guides
- Best Practices for Organizing Research Data
- Using The CLI
- File Operations
- PRISMS-PF Integration
- Using Spreadsheets For Data
- Overview
- File Format Support
- Best Practices for Spreadsheet Data
- Spreadsheet Structure Guidelines
- Tips for Large Datasets
- Common Issues to Avoid
- Best Practices for Data Analysis
- Basic Requirements
- Units Specification
- Column Types
- Ignoring Columns
- Ignoring Worksheets
- Handling Blank Values
- File References in Spreadsheets
- Workflow Construction
- Global Constants
- Loading Spreadsheets
Documentation