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  • About DS Learn
  • Tutorials
    • ¶ Digital Exhibits
      • Getting Started with Digital Exhibits
        • Considerations
        • Basic Steps
          • Site Organization
          • Usability & Accessibility
        • Platforms
    • ¶ Digital Storytelling
      • Introduction to ArcGIS StoryMaps
        • Getting Started
        • Using Content Blocks
        • Importing Maps from David Rumsey
      • Introduction to KnightLab StoryMap JS
      • TimelineJS
    • ¶ 3D Modeling & Immersive Technology
      • Adding 3D Models in Omeka
      • Intro to Photo Processing with Agisoft Metashape for 3D Model Making
      • Tips and Tricks for Taking Photos for 3D Model Creation
      • An Introduction to Apple's Reality Composer AR
      • Importing SketchFab Models into AR for the iPad or iPhone
      • Creating Basic 3D Objects for AR in Blender
      • Introduction to Meshlab
    • ¶ Data Visualization
      • Introduction to Tableau
        • Download and Install Tableau
        • Using Tableau to Visualize COVID-19 Data
        • Tableau DH
        • Resources
      • Beyond Simple Chart in Tableau
        • Beyond Simple chart Examples
      • Google Colab
        • Get Started
        • Data Import
        • Data Wangling
        • Visualization
        • Results Export
      • Out of Box Data Visualization Tools
        • How to use Google Data Studio with Google Sheets
        • Google Data Studio Interface
        • Creating Visualizations in Google Data Studio
    • ¶ Mapping
      • Tiling High-Resolution Images for Knightlab StoryMapJS
      • Hosting and Displaying Zoomable Images on Your Webpage
      • Georectifying Historical Maps using MapWarper
      • Making a Starter Map using Leaflet
    • ¶ REST API
      • How does REST API work?
      • JSON File
      • Get Started with Google Sheets Script Editor
      • Example 1: Extract Data by One Cell
      • Example 2: Extract Data by A Cell Range
    • ¶ Text Analysis
      • Introduction to Text Analysis
        • Step 1: Exercise One
        • Step 2: What is Text Analysis?
        • Step 3: Important Considerations
        • Step 4: Why Voyant and Lexos?
        • Step 5: Exercise Two
      • Text Repositories
      • Text Analysis in JSTOR
        • Overview of Constellate
        • Build A Dataset
        • Create A Stopwords List
        • Word Frequency
  • Digital Scholarship Incubator
    • Schedule
    • Getting Started
    • People
    • Project Guidelines
    • Topics
      • 3D Modeling and Immersive Technologies
        • Part 1: 3D Photogrammetry & Laser Scanning
          • Exercise: Experiment with 3D creation tools
        • Part 2: An Introduction to Apple's Reality Composer AR
          • Exercise: Experiment with Apple RealityComposer AR
      • Anatomy of a DS Project
        • Parts of a DS Project
        • Some DS Project Examples
        • Exercise: Evaluating a DS Project
      • Pedagogy
      • Data and Data Visualization
        • Introduction to Data
        • Introduction to Data Visualization
        • Introduction to Tableau
          • Download and Install Tableau
        • Introduction to Network Visualization
      • Digital Exhibits
        • Exercise 1: Exploring Exhibits
        • Exercise 2: Exhibit.so
      • DS Intro & Methodologies
      • User Experience
        • Usability Exercise
      • Mapping and GIS
        • An Introduction to Mapping, GIS and Vector Data
          • Workshop: Exploring and Creating Vector Data
          • Quick Review: Spatial Data
        • An Introduction to Raster Data and Georeferencing Historical Maps
          • Workshop: Finding and Georeferencing an Historical Map
          • Tutorial: Georectifying Historical Maps using MapWarper
        • Presentation + Workshop: Putting it together in ArcGIS Online
        • Workshop: A Brief Introduction to QGIS
          • Adding Base-maps and Raster Data
          • Adding and Creating Basic Vector Data
          • Styling your data and preparing it for exporting
      • Story Maps
        • Story Map Exercise
      • Text Analysis
        • Exercise 1: Voyant
        • Exercise 2: Python
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  1. Digital Scholarship Incubator

Project Guidelines

Participants will be creating projects after the incubator week and presenting on them in early fall 2022 during which participants will receive feedback to help them further develop their work.

It is understood that some participants will be able to get further with their projects than others. The DS Group will provide workshops that dive deeper into DS tools, consultations, and other types of project support.

Projects may be one of the below. (The descriptions are deliberately open-ended as we want you to get out of the process what is most meaningful to you.)

  • A well-articulated plan for a researched-based DS project and a prototype that demonstrates aspects of how the project will work.

  • A well-articulated plan for further developing an existing researched-based DS project and a prototype that demonstrates aspects of how the new developments will work.

  • A digital pedagogy/DS-based lesson and a prototype that demonstrates digital component(s). A "lesson" may involve the creation of an assignment, a learning digital object, or both.

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Last updated 3 years ago

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