This section of the guide reviews resources for captioning, cleaning, and organizing data so that it can be analyzed using digital software and resources.
OpenRefine is a free, open source tool for cleaning and transforming data. The library manages a LibGuide that reviews how to get started with OpenRefine and use it for data cleaning.
This LibGuide is a useful starting point for patrons who are not familiar with data cleaning workflows and considerations. It reviews data cleaning best practices for spreadsheet and text data, and shares several data cleaning tools and resources.
CITL's Data Analytics program offers analytics consulting services, including coding support for Python, R, Qualtrics, and SPSS. Patrons can request an appointment by filling out the form on Data Analytics' webpage.
The Research Data Service (RDS) is a campus-wide program that provides support for researchers interested in organizing, cleaning, storing, and sharing data. A full list of their services and resources is available on their website.
This workshop provides an overview of techniques to extract information from text, including how to identify people and places using named entity recognition and natural language processing.