Welcome
Homepage including slides, data, and workshop objectives.
2 min readGet here quickly:
https://bit.ly/arcgis-find-data
Harvard Map Collection
Scope
🚨 This is not a workshop on how to use GIS mapping software. Please consider referring to our other in-person learning opportunities or follow-along materials from previous events.
🚨 Today will focus on how to find relevant source data for a GIS project.
Goals
- Understand the value of a few common GIS data approaches.
- Get a feel for the flow and pace of working with GIS data.
- Leave knowing which resources you can rely on for your project.
What is the benefit of using GIS layers?
| Hand-drawn | Canva-style | GIS layers |
|---|---|---|
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Credit: Hannah Ahn ‘24
Credit: Amisha Kambath ‘22
Credit: Luisa Shida ‘25
How we will approach learning how to search for GIS layers


| In class activity | Demo and explore more |
|---|---|
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Sample data
You can download and explore sample datasets related to this activity from the workshop data homepage, hosted on the Open Science Framework (OSF.io)
- Visit the workshop data homepage.
- Click the three vertical dots icon and select
Download.
- The folder that downloads to your computer contains sample data from all the workshop activities. It is a zipped or compressed file. In order to use it, you will have to
double-clickit on Mac orright-click→ExtractorUncompresson a PC.
If you’d like to follow along in class using ArcGIS Pro, here are some tips for obtaining that software:
- Harvard Center for Geospatial Analysis (CGA) manages ESRI licenses on the Harvard campus; check out CGA’s ArcGIS Pro installation instruction.
- Harvard Map Collections library guide, ArcGIS Pro Access & Support at Harvard.

Outline
- Work through an activity all together
- Pick another activity and work through just the
In class activitysection - Record your findings and any questions you have in your GIS journals
- Go through the activities all together with more in-depth demos
Wrapping up
Help improve this workshop by giving us suggestions in the survey.
Credits
Many thanks to our cross-institutional colleagues for providing feedback and expertise on search strategies: Tara Anthony (Penn State), Jessica Benner (Carnegie Mellon), John Clark (Lafayette College), Meagan Duever (Georgia State), Todd Quinn (University of New Mexico), Chris Thiry (Colorado School of Mines), Amy Work (UC San Diego). Thanks to Kevin Holden and Christine D’Auria from the Harvard Bok Center Learning Lab for workshop support.


