Neglecting to develop and implement a detailed naming convention for your data files. Data hot mess.
Failing to sync and back up your data in three separate locations. Deadly data loss.
Saving your data to a proprietary file format that is on the verge of insolvency. Walking dead data.
Facing the shame of having your publication retracted due to data irregularities. 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 data quality projects!
Instructor: Julie Goldman, Research Data Services, Countway Library, firstname.lastname@example.org
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