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  • About
  • Digital Scholarship
    • DS Methods Overview
      • ¶ Data Visualization
        • Basic Charts
        • Timeline
        • Treemap
        • Network
      • ¶ Mapping
        • GIS
        • Story Maps
        • Maps as Interface
      • ¶ 3D & Immersive Technologies
        • Augmented Reality & Virtual Reality
        • 3D Modeling & Laser Scanning
        • Immersive Games
        • 360 Degree Capturing
      • ¶ Digital Exhibits
        • Example Exhibits
      • ¶ Hypertext
        • Publishing & Presenting
        • Multimedia
        • Narratives & Games
      • ¶ Textual Encoding Initiative
        • What Does TEI Markup Look Like?
        • Facsimiles & Critical Editions
      • ¶ Text Analysis
        • Out of the Box vs Coding and Scripting
        • Text Analysis Examples
    • Introduction to Data
      • ¶ What is Data?
        • Structured & Unstructured Data
        • Quantitative & Qualitative Data
        • Humanities & Data
      • ¶ What is Data Visualization?
      • ¶ DS Data Projects
        • Getting Started Questions
        • Project Examples
        • Visualization Tools
      • ¶ Research Data Lifecycle
        • Data Management Best Practices
      • ¶ Glossary
    • Introduction to Mapping
      • ¶ What is Spatial Data?
      • ¶ Vector and Raster Data
        • Vector and Raster Data Examples
        • File Format Examples
      • ¶ Starting a Mapping Project
        • Getting Started Questions
        • Project Examples
        • Mapping Tools and Platforms
    • Introduction to Digital Exhibits
      • ¶ What is a Digital Exhibit?
        • Related Concepts
      • ¶ Starting a Digital Exhibit
      • ¶ Exhibit Examples
      • ¶ Platforms
  • Digital Pedagogy
    • ¶ What is Digital Pedagogy?
    • ¶ Considerations
    • ¶ Recommendations
    • ¶ Assignment Design
      • Learning Outcomes
      • Mode/Method/Tool Process
      • Assignment Examples
    • ¶ Evaluation
      • Assignment Criteria
    • ¶ Maintenance & Archiving
      • Recommended File Formats
  • Accessibility
  • Skills
  • Tools
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  • Data Acquisition
  • Data Manipulation
  • Data Visualization
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  1. Digital Scholarship
  2. Introduction to Data
  3. ¶ DS Data Projects

Getting Started Questions

The following questions are helpful to consider when beginning a data project.

Data Acquisition

  • Are you looking for data & statistics with a time period or geography focus?

  • Are you looking for a specific data type? e.g., qualitative, qualitative, GIS, multimedia

  • Are you collecting your own data for your research?

  • Have you started searching for data sources?

  • Do you need support on data management (DMP), preservation, or sharing?

Data Manipulation

  • What data format are you using? e.g., Excel, Stata, SPSS

  • What data tasks do you need to conduct?

    • Data cleaning: the process of preparing data for analysis by removing or modifying data that is incorrect, incomplete, irrelevant, duplicated, or improperly formatted.

    • Data merging: the process of combining two or more data sets into a single data set.

    • Aggregation (Summarization): the process of gathering data and presenting it in a summarized format.

Data Visualization

  • What format does your data come in? e.g., Excel, text file, JSON, PDF, spatial

  • Do you have any preferred visualization tool you want to use?

  • Do you need help with choosing the visualization tools?

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Last updated 3 years ago