Data Horror Stories: Avoid the Nightmare In-Person
Neglecting to develop and implement a file naming convention. Data hot mess.
Failing to sync and back up your data. Deadly data loss.
Saving your data to a proprietary file format. Walking dead data.
Facing the shame of having your publication retracted. The horror. The horror.
Data management is not easy, as is evidenced by these true horror stories of data quality gone wrong. Learn from (and wince at) these mistakes to avoid problems with your own projects.
Plus, come celebrate Halloween with free lunch and treats! 🥪🧁
Instructors: Julie Goldman, Research Data Services Librarian, Countway Library
Ashley Thomas, Health Science Data and Digital Services Librarian, Countway Library
This is an in-person workshop. Registration is limited and attendees must have a Harvard University ID (HUID) to enter the Countway Library.
- Date:
- Thursday, October 31, 2024
- Time:
- 12:00pm - 2:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Countway Floor 1: Room 102
- Categories:
- Classes Data Management Records Management
Fall 2024 Research Data Management Seminar Series
- September 24 - Better Research I: Managing Research Data Efficiently
- September 26 - Research Management: Project and Lab Onboarding
- October 24 - Data Management: Computing Strategies and Resources
- October 31 - Data Horror Stories: Avoid the Nightmare
- November 14 - Data Literacy: Principles of Finding and Citing Data
- November 19 - Better Research II: Writing a Data Management and Sharing Plan
- December 3 - Research Management: Tools for Open Science
- December 12 - Better Research III: Data Sharing in Repositories
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!