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Digital Scholarship & Digital Humanities

Digital Scholarship Resources

Data Management is the process of validating, organizing, protecting, maintaining, and processing scientific data to ensure the accessibility, reliability, and quality of the data for its users (NIH). 

Digital Humanities can be broadly defined as the application of digital tools to supplement and enhance traditional, analog humanities research.

Datasets

The following list of data sources may be helpful as researchers develop digital scholarship projects.

Developing Technical Skills

The Carpentries: Free, online foundational coding and data science instruction.

The Programming Historian: Publishes "novice-friendly, peer-reviewed tutorials that help humanists learn a wide range of digital tools, techniques, and workflows to facilitate research and teaching." 

Python for Humanists: Open textbook teaching fundamental Python for humanities projects.

R Learning Resources: Open access textbooks by Hadley Wickham.

Sage Campus: Supports the teaching and learning of tricky skills and research methods across all stages of academic study. These self-paced and instructor led courses cover the essential skills needed to thrive in academic study or research pursuits. Course topics include data literacy, research skills, data science skills, and getting published.