Texas Tech University

Digital Humanities Lab

The Digital Humanities Lab was founded in 2012 with the mission of bringing digital humanities resources to the humanities research community at Texas Tech. The Digital Humanities Lab is a resource for students and faculty to explore research topics, develop skills, and create projects. The DH Lab is located in HUMA 102.

Resources

Hardware

  • Dell PCs running Windows 10
  • Mac running macOS Sequoia
  • Flatbed Scanners
  • Color Printer
  • Document Camera
 

Software

  • R
  • Rstudio
  • Python
  • Notepad++
  • QGIS
  • OpenRefine
  • Omeka Classic
  • MariaDB
  • Other open source or University Licensed software upon request



Do you want to clean or analyze text?

For data cleaning, the lab has OpenRefine which can help you organize data in spreadsheet format by faceting, clustering, and reformatting information. For one type of quantitative text analysis, the programming language R for statistical computing and the programming environment Rstudio can be used to break down and quantify a corpus of texts.

Do you want to map data or events?

Each lab computer has the most up-to-date version of QGIS. This is a mapping program which uses a relational database to incorporate metadata with each point placed. Texas Tech has available licenses for ArcGIS as well. If you would like to use ArcGIS, please contact the assistant director about setting up a license.

Do you want to make a database?

The lab computers are equipped with MariaDB to create relational databases or data recorded in tables of metadata related to a particular category or header. The database structure makes it easy to search for information or present pieces of information. Other database structure or software can be added upon request.

Do you want to create a digital scholarly edition?

The eXtensible Mark-Up Language (XML) is one of the most widely used markup languages for creating digital scholarly editions. It is typically used following the Text Encoding Initiative's (TEI) guidelines. Lab computers are equipped with Notepad++ which can be used for editing XML. Contact the assistant director if you are interested in licenses for the editor Oxygen for your project.

Do you want to make a searchable scan?

Optical character recognition (OCR) uses machine learning to recognize letter forms and produce a file of the text it has recognized. This text file can then be mapped onto an image or PDF file to have a searchable scan. For high-quality, easy-to-read scans, Adobe Acrobat’s OCR function can quickly and easily make a searchable scan. For lower-quality or image scans, the command line program Tesseract can OCR images and map the text onto a PDF. For very low-quality scans, contact the assistant director for assistance with pre-processing techniques.

Do you want to make a digital exhibit?

The digital exhibit platform Omeka is a powerful way to both catalog digital artifacts with extensive metadata and to present artifacts in engaging pathways with additional information.

Do you want to build a website?

For a simple website, the lab computers are equipped with Notepad++ to edit Hypertext MarkUp Language (HTML) documents which can be customized with content, links, and images. For a sleek, static site, the program Jekyll can transform a plain text page into a web page. There are a variety of pre-designed templates for personal websites, digital scholarly editions, digital exhibits, teaching sites, and more.

Contact

Lab email: English.DHLab@ttu.edu

Director: Marta Kvande (marta.kvande@ttu.edu)

Assistant Director: Anna Kroon (ankroon@ttu.edu)

Open Hours Fall 2024

Mondays: 2:00 – 4:30 pm

Wednesdays: 12:00 – 2:30 pm