Monday, January 11, 2021
12:30 pm - 2:30 pm
Virtual via Zoom
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 is 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.
This lesson will teach you to use OpenRefine to effectively clean and format data and automatically track any changes that you make. Many people comment that this tool saves them months of work trying to make these edits by hand.
This lesson assumes no prior knowledge of the skills or tools.
Open to Undergraduates, Graduate Students, Postdocs, Faculty, Staff
E-Research Librarian
natalie.meyers@nd.edu
Natalie Meyers is the E-Research librarian in Digital Initiatives and Scholarship where she helps pioneer and provide research data consulting services, including in-depth data management services in support of grant-funded research.
She devotes up to 80% of her time as an embedded e-research librarian for grant-funded research by faculty members.
Natalie serves as an advisor to groups and individuals regarding data and digital content management.
She also provides advice and works with units across campus and externally to offer collaborative, team-based support for data management needs, including development of GIS, as well as data and metadata services for the Center for Digital Scholarship. She advises other library initiatives as needed and hosts, conducts, and/or designs related workshops.
Julie Vecchio
Interim Co-Director, Navari Family Center for Digital Scholarship
250I Hesburgh Library
