UCLA Redivis

Description

UCLA Redivis is a data platform designed to support academic research by providing a central hub where researchers can easily discover, access, and analyze their data. This powerful platform facilitates data management and collaboration, offering robust tools for data analysis and visualization. Redivis is tailored to meet the needs of faculty, researchers, and students, making it an invaluable resource for the UCLA academic community.

Services Offered

Data Management: Efficient organization, storage, and preservation of large datasets.
Data Discovery: Tools to help researchers easily find and access relevant datasets.
Data Analysis: Advanced features for performing complex data analyses.
Data Visualization: Dynamic and interactive visualization capabilities.
Collaboration: Facilitates collaborative research and data sharing among users.
Security: Ensures data privacy and compliance with regulatory standards.

Areas of Expertise

Data Wrangling: Cleaning and transforming raw data for analysis.
Statistical Analysis: Conducting a wide range of statistical analyses.
Machine Learning: Implementing machine learning models.
Geospatial Analysis: Analyzing and visualizing spatial data.
Data Sharing: Securely sharing datasets with collaborators and the research community.

Audience

Target Audience: Faculty, researchers, and students across all disciplines who need advanced data management and analysis capabilities.

Outcomes

Expected Outcomes: Improved data management practices, successful execution of complex data analyses, enhanced collaboration on research projects, and streamlined data discovery and access.

How to Access Services

Getting Started: To begin using UCLA Redivis, visit our UCLA Library Data Portal for requesting an account.
Training and Support: Access tutorials, documentation, and support from the Introduction | Redivis Documentation .

Contact Information

For more information or to request support, please contact the @Jamie Jamison UCLA Redivis.