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...

Happy Open Access Week 2020!

Data management focuses on data organization and sharing. DASH and Dataverse are platforms to help you share your work and increase your scholarly impact. In this session, learn practices and platforms to achieve your open access goals!

Panelists:

• Julie Goldman, Research Data Services Librarian
• Katie Mika, Data Services Librarian
...

Happy Open Access Week 2020!

Research papers and protocol organization in labs often lack detailed instructions for repeating experiments. protocols.io is an open-access platform for researchers to create step-by-step, interactive and dynamic protocols that can be run on mobile or web. Researchers can share protocols with colleagues, collaborators, the scientific community or make them public, with ease and efficiency...

A part of the data workflow is preparing the data for analysis. Some of this involves data cleaning, where errors in the data are identified and corrected or formatting made consistent. This step must be taken with the same care and attention to reproducibility as the analysis.

OpenRefine (formerly Google Refine) is a powerful free and open source tool for working with messy data: cleaning it and transforming it from one format into another. Many people comment that this tool saves them literally months of work trying to make these edits by hand!

This seminar will...