Data Analysis and Management
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Resources, consultations and training to help you discover, manage, store and share research data.
The Library provides access to a variety of data sources. Use these research guides to access available data and statistical sources collected by governments and other organizations.
UC Davis DataLab can help with:
- Open-source software
- R, Python, QGIS, Git, Command Line, etc.
- Reproducible research practices and technologies
- Data justice and ethics
- Data gathering and cleaning
- APIs, webscraping, GIS, optical character recognition, text mining
- Data analysis and prediction
- Modeling, machine learning, natural language processing, artificial intelligence
- Data visualization, virtual reality and mapping
Consult with UC Davis DataLab:
About DataLab
UC Davis DataLab collaborates with researchers from all disciplines and career stages to grow data science capacity and community across UC Davis.
Through training and educational activities including workshops, classes, data challenges, research and learning clusters, symposiums, and office hours, DataLab supports researchers to develop transparent and reproducible data-intensive research using cutting-edge data science tools, technologies and computational approaches.
Our Research Data Management topic guide is designed to help you:
- Develop Data Management Plans
- Collect & Organize Data
- Store & Secure Data
- Share & Publish Data
Consult with a librarian about data management, publishing or preservation:
Our librarians and health informaticists can help you:
- Develop a plan to access, manage and use health data assets
- Find open health data or health statistics
- Get support with evidence-based medicine
- Ask questions about funder (e.g., NIH) requirements related to data management and sharing