Research Analysis: Home

For researchers ready for sophisticated analysis methods, these tools support digital humanities, data analysis, and advanced research techniques.

New to these methods? We recommend starting with our Introduction to Library Research and Research Tools before moving to these advanced techniques.

Digital Humanities Tools

• Explore Digital Scholar Lab (Gale) - Create custom content sets of up to 10,000 documents from Gale Primary Sources using digital humanities tools for new ways of interrogating content and analyzing insights. Choose the Microsoft choice and login with your university ID.

New to digital humanities? See the Digital Humanities guide from Harvard Library or explore Programming Historian for step-by-step tutorials.

Data Analysis Tools

• Access JSTOR Data for Research - Web-based tools for selecting and interacting with content from the JSTOR archive, including full-text searching, document-level data, word frequencies, citations, key terms, and ngrams.

Working with text analysis? See our Data guide for datasets and computational tools and the Text Analysis Portal for Research (TAPoR) for text analysis tool discovery.

Data Management Planning

Effective data management begins before you start collecting data. Create a data management plan outlining collection, storage, and sharing procedures. Understand data privacy and human subjects requirements, particularly with sensitive information. Plan for long-term preservation and access, considering technical formats and institutional repositories. Document your methodology and data sources thoroughly for reproducibility and future use.

Key planning elements include:

• Data collection procedures and documentation standards
• Storage and backup strategies for data security
• Privacy and ethics compliance for human subjects research
• Sharing and preservation plans for long-term access
• Metadata and documentation for data discoverability

For more information, see our Data Management and Sharing Guide .