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Data Slippery Slopes

Data Slippery Slopes

Neglecting to develop and implement a detailed naming convention for your data files. Down the slope.
Failing to sync and back up your data in three separate locations. Data slip up
Saving your data to a proprietary file format that is on the verge of insolvency. Data danger zone.
Facing the shame of having your publication retracted due to data irregularities. The steepest of slopes.

Data management is not easy, as is evidenced by these true slippery stories of data quality and management gone wrong. Learn from (and wince at) these mistakes to avoid problems with your own research projects! We will review retraction examples to consider future ways of supporting reproducibility.

Instructor(s): Julie Goldman, Research Data Services, Countway Library
Meghan Kerr, Longwood Medical Area Records Manager/Archivist, Center for the History of Medicine


Winter 2020 Research Data Management Seminar Series

Thursday, February 13, 2020
2:00pm - 3:00pm
Time Zone:
Eastern Time - US & Canada (change)
Countway Floor 5: Minot Room
Campus Location:
Harvard Longwood Campus
  Classes     Data Management  
Registration has closed.

Event Organizer

Meghan Kerr
Profile photo of Julie Goldman
Julie Goldman


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!

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