Neatline Workshop 2017

Most import link

DSG Omeka Sandbox site

Workshop Précis

Today we will explore Neatline, which is a platform for building spatial exhibits using items collected using the Omeka digital archive software. It’s possible to discuss Neatline without getting into the nitty-gritty details of Omeka, and for the most part that’s how we will address it, mostly because of time constraints. I will need to outline Omeka in broad strokes in order for certain aspects of Neatline to make sense, however, and I’ve also provided links below to resources that will help you learn more about Omeka. If you decide to pursue a project using Neatline, you will likely have to learn more about Omeka to do so.

The point of today’s workshop, however, is not really to teach you how to use a particular piece of software. Instead, my aim is to let you explore one way of making a map and begin thinking about how the activity of mapping differs, intellectually and pedagogically, from the study of maps.

Like other mapping platforms, Neatline has both affordances and limitations. Neatline is a wonderful platform for making, as Bethany Nowviskie writes,

hand-crafted, interactive stories as interpretive expressions of a single document or a whole archival or cultural heritage collection.

By contrast, Neatline is not a GIS or a platform for big spatial datasets; we can talk more about this distinction and how it might apply to your own research and teaching.

Workshop Schedule

Here’s an outline of how I hope this morning will go, but this will vary depending on both human and technical variables. At any stage, feel free to let me know whether we should slow down, speed up, define, redefine, and so forth. I’m just fine with detours, so long as they contribute to your projects and your teaching.

  1. What is Omeka? (9:15-9:30)
  2. Creating records in Neatline (9:30-10:00)
  3. Practice creating records (10:00-10:15)
  4. Timelines and waypoints (10:15-10:45)
  5. Improving your exhibits (10:45-11:00)
  6. Importing georectified historical maps into Neatline (11:00-11:30)

If needed and desired we can do more after lunch!

Omeka Resources

Neatline Tutorials

Model Neatline Exhibits

Omeka-Neatline Workshop 2016

Today we’ll be learning the following. I’ve outlined a rough schedule just below this paragraph, but it will vary depending on both human and technical variables. At any stage, feel free to let me know whether we should slow down, speed up, define, redefine, and so forth. I want to make sure you come away confident in your ability to use Omeka and (just as important!) to teach students to use Omeka. I’m just fine with detours, so long as they contribute to your projects and your teaching. Continue reading

Network Analysis Workshop

I regularly run workshops on humanities network analysis. For participants, I’ve compiled some starting instructions, sample data files, and suggested reading below.

Recommended Reading

Tools for Network Analysis

There are many options at various skill levels for humanists interested in network analysis. Here are just a few:

  • If you’re looking for an especially straightforward platform for basic network analyses, you might check out Palladio which adapts the platform designed for Stanford’s Mapping the Republic of Letters project for other scholars’ use. Martin Düring’s tutorial at the Programming Historian focuses on extracting network data from unstructured text and visualizing it in Palladio, and Miriam Posner’s “Getting Started with Palladio” introduces the tool’s network functionalities (along with much else).
  • You can also create basic network graphs using Fusion Tables.
  • If you are running Windows with Microsoft Excel installed, Node XL aims to make generating network graphs from an Excel spreadsheet as easy as creating a pie chart. Unfortunately Node XL is incompatible with Mac versions of Excel.
  • And of course, if you’re comfortable with programming languages there are plenty of methods for generating network graphs by hand. Taylor Arnold and Lauren Tilton write about using R for network analysis in Humanities Data in R and Lincoln Mullen has a growing resource in Digital History Methods in R, including an in-progress chapter on networks.

This Workshop: Gephi

For this workshop, we will be using Gephi, one of the most widely-used tools for network analysis and visualization. You will need to download and install the application before we can get started. If you find it runs slowly (or not at all) you might need to update Java on your system.

Workshop Data

Sample data can be found in this folder. You can download them all as a zip file or download files separately as we need them.