Data Literacy: Introduction to GIS In-Person
In this workshop, we will use browser mapping tools to explore the specifics of how to understand and think about location data. In addition to exploring the basics of location data, we will practice with some example datasets, such as spatial demographic data, and even historic map overlays.
No experience is required; registrants should keep an eye on their email after signing up for software instructions.
Instructor: Belle Lipton, GIS Outreach Librarian, Harvard Map Collection
This is an in-person workshop with no online option. Registration is limited and attendees must have a Harvard University ID (HUID) to enter the Countway Library.
- Date:
- Wednesday, January 29, 2025
- Time:
- 1:00pm - 4:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Countway Floor 1: Room 102
- Campus Location:
- Harvard Longwood Campus
- Categories:
- Classes Data Management Records Management
Spring 2025 Research Data Management Seminar Series
- January 29 - Data Literacy: Introduction to GIS
- February 27 - Research Management: The Ins & Outs of Making Your Work Open Access at Harvard
- March 19 - Better Research IV: A Guide to Efficient Research Practices
- March 26 - Better Research V: Tips and Tricks for Writing an Actionable Data Management Plan
- April 9 - Research Management: Closing Out Your Research
- April 23 - Better Research VI: Data Sharing with Harvard Dataverse
- May 21 - Research Management: Research Data Stewardship Basics
Seminar Audiance
- Seminars are open to all faculty, research staff, postdoctoral researchers, and students from all disciplines.
- In-person workshops are open to Harvard University ID holders only.
- Online webinars are open to the public research community.
- While content will focus on Harvard policies and resources, participants from other insitutions may find the concepts useful.
Need help with data management? Feel free to book a 30 minute meeting slot with me.
Happy to help with data organization, cleaning, and sharing for fostering reproducible workflows and open science!