Selecting a tool is one of the most challenging aspects of starting a digital scholarship project. OU Libraries can help! Our experts can offer consultations on the tools listed below. For an overview, please visit Digital Scholarship @ OU Libraries.
Tools
Organize and Clean Data
Excel – Spreadsheet software with calculation, graphing tools, and pivot table options for analyzing data.
Google Sheets – Spreadsheet software that works well for collaborative projects.
Open Refine – A tool for cleaning messy data, transforming it between different formats, and exploring data.
Hosting
GitHub – A web-based repository service which offers the distributed revision control and source code management functionality of GIT with a graphical user interface, desktop, and mobile integration.
Analyze and Visualize Data
TimelineJS - A web-based timeline visualization tool that can create a timeline visualization with Google sheets. A Google account is needed, but otherwise free and open source.
Library MakerSpace – Flexible experimentation and innovation space at OU Libraries that provides access to extended reality technologies, such as 3D printing, 3D scanning, and virtual reality. Regular workshops are offered through the library makerspace as well.
Map Data
StoryMapJS - A web-based story mapping visualization tool that is free and open source.
Google – Google offers some mapping solutions. To use these services, you must first have a Google account.
- MyMaps – Allows users to quickly create and publish maps online.
Create Digital Collections or Exhibits
Omeka - A content management system designed for the display of library, museum, archives, and scholarly collections and exhibitions.
Blog or Website Building
WordPress - An easy-to-use web publishing platform originally designed around blogging that has now evolved with functionality as a robust content or learning management system, with many themes and plugins for extra functionality.
Text Analysis
oXygen XML editor – A cross-platform XML editor that may be used to create and validate XML documents and associated schema.
Voyant - An easy to use, web-based text analysis software.
Programming Languages
- Beautiful Soup – A library, written in the Python programming language, for pulling specific pieces of data out of HTML and XML files.
- Pandas – An open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
R - Another open source programming language. R was originally developed for statistics but also works well for graphics and text mining.
People
Don't know where to start?
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Schedule a Consultation
Liorah Golomb, Humanities Librarian
Specialization: Text Analysis
Mark Laufersweiler, Research Data Specialist
Specialization: OSF, ORCID, Dryad, Research Data Management, Python, GitHub
Claire Curry, Science Librarian
Specialization: Citation Management, Data Visualization, Geography & GIS, Programming in R, Open Science Framework, Software Carpentry instructor
Tyler Pearson, Director of Digital Scholarship and Data Services
Specialization: Python, Scripting, Web Scraping, Docker, Git
Amanda Schilling, Science Librarian
Specialization: Citation Management, Open Science Framework, LaTeX