From CUNY Academic Commons
General suggestions and curated lists
- See the Digital Research Tools (DiRT) database, now an initiative of Project Bamboo; a directory of tools organized by research activity, with reviews – very rich, highly recommended. Create an account to contribute content.
- See also the Tools section of arts-humanities.net.
- For a great shorter list, see under “Recommended Free or Open Source Tools” in the resources section of The University of Victoria’s “Digital Humanities 150” course website.
- And the University of California Santa Barbara English Department has a Toy Chest of tools suitable for users with no programming experience.
- Concordia University, Canada’s “Oral Historian’s Digital Toolbox“
- Miriam Posner’s post on the UCLA’s Digital Humanities Bootcamp 2013 blog has a good survey of DH projects and the tools used to build them.
- The MSU Fieldschool website has a great list of tools for cultural heritage visualization.
- Alan Liu’s Digital Humanities Resources for Student Project-Building is geared toward “free tools or tools with generous trial periods available for student use,” as is his Introduction to the Field.
Readers, please help us build out these sections by recommending particular tools and methods that you have found useful, by discipline/problem domain.
Geospatial and mapping
- ArcGIS is proprietary GIS (Geographic Information Systems) platform made by Esri.
- GIS (QGIS) is an open source geographic information system. CUNY graduate students, faculty, and staff are eligible to register for Francis Donnelly’s Introduction to GIS Using Open Source Software Practicum and Spatial Databases Practicum.
- Mapbox is a popular set of tools for building interactive maps.
- Worldmap is an open source mapping platform developed by Harvard’s Center for Geographic Analysis. Its About page stresses the goal to “fill a growing niche between powerful desktop-bound mapping applications, and lightweight web map solutions with limited capacity.”
- HyperCities is a research platform developed by UCLA for visualizing both space and time.
- Neatline is a set of plugins used with Omeka designed to visualize narratives of space, time, and objects.
- Cornelius Puschmann’s slideshow “Visualization in the Digital Humanities“
- Lev Manovich’s resources include “tools for visualizing large collections of images and video,” along with a Google doc containing an extensive “list of resources for visualizing cultural data” and a document of “class notes” on concepts and techniques for preparing cultural data for analysis and visualization.
Text mining and analysis
- Text Analysis with R for Students of Literature by Matthew Jockers.
- Scalar is a scholarly publishing platform built by The Alliance for Networking Visual Culture.
Tutorials and Learning to code
- CHI Fieldschool recommends these tutorials for the visualization of time, space, and data.
- Other websites with resources and tutorials include:
- GitHub is used to share and collaborate on software building and data. See also GitHub Training videos and this post from Scholars’ Lab on Forking, Fetching, Pushing, Pulling.
- Figshare is designed to be a data repository where researchers can also share work.
Working with images
- An overview of Organizing Image Collections for Research can be found on this Digital Fellows handout.
- Name Changer (Mac only) or similar tools will quickly batch rename or append filenames on a large number of images.
- Preview can quickly batch resize a large number of images. This can also be done in Mac Automator.
- To view the EXIF metadata of any photograph, drop the photo or its URL into an EXIF data viewer such as [exifdata.com. exifdata.com].
- For a high volume of data storage, use an external hard drive and/or cloud storage. See the this Digital Fellows handout for a comparison of cloud storage options.
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