Intro to Open Data
This month, we cover the best practices of Data Management and Sharing, and how to get started with McGill Dataverse.
About
In this first thematic month of the Fall 2023 semester of Open Data, we thought it would be good to start by covering the foundation of Open Data: Introduction to best practices in research data management and data sharing.
Good data management is the cornerstone of Open and Reproducible Science. First, well-organized and documented data makes it so much easier for you and others to work on your data (do you think you could quickly do additional analyses that reviewers ask for, several months after submitting a publication? Do you think a future trainee in the lab could make sense of your data five years after you are gone?). Secondly, there is no point in sharing messy data that no one ca make sense of or re-use, making good data management and the F.A.I.R principles (you don’t know what this is? great, read-on!) crucial for data sharing and Open Science.
To help us with all of this complicated stuff, we have recruited a wonderful expert on that topic to offer a seminar at the start of the month, and whom will be available throughout September to book one-on-one Zoom consultations with you.
Expert of the month
Research Data Management Specialist at McGill University Library
Alisa has extensive experience in providing individual consulting to campus researchers and research groups on the fundamentals of research data management issues, including data management planning, funding agency requirements, data citation practices, open data, and research data lifecycle management. Alisa also helps researchers sharing data with McGill’s insitutional research data repository (Dataverse).
Seminar/Workshop
September 5 2023, 4pm
Thomson House, Restaurant/Basement level
3650 Mc Tavish St, Montreal, Quebec H3A 1Y2
This seminar will provide attendees with an overview of the best practices for efficiently managing and sharing research data. Attendees will learn how to set up folders according to a logical schema, create README documentation to map out folder hierarchies, and implement a file naming convention. Participants will also learn about making data FAIR, license options for data, and McGill’s institutional data repository.