WHAT IS LOVE DATA WEEK?
Love Data Week is a week-long event that is celebrated on an international level to bring more awareness to the importance of research data management, library-based research data services, and more. On top of raising awareness on topics related to these different aspects, Love Data Week also aims to build a community for individuals to get engaged as they participate in the series of events that are held throughout the week.
This year, Love Data Week will be on Feb. 8 to Feb. 12. With the virtual event theme being, “Delivering a Better Future,” participants will be given the opportunity to share how they are using data to invest in having a better future as a result.
While this year’s Love Data Week is soon approaching, check out the Meet Your Data Librarians Podcast from last year’s event to learn more about some of the contributors of the celebration!
Below is a schedule of the events taking place throughout this year’s Love Data Week:
Monday: Twitter Account Takeover! The data librarians will be taking over the Libraries’ Twitter account from 2 p.m. – 4 p.m., so be sure to follow @fsulibraries on Twitter for more information!
Tuesday: The “Introduction to HPC/Slurm and Open OnDemand” workshop will be held via Zoom on Feb. 9 at 3:00 p.m. and hosted by Nick Ruhs, the STEM Data & Research Librarian. Click here to register!
Wednesday: Keep an eye out for a “Get Data Lit” blog post; you won’t want to miss it!
Thursday: Adopt a Dataset! Bring the dataset you decide on adopting to life by gaining knowledge on what it contains in order to educate others about it via email or social media. You’ll also get the chance of receiving a digital Certificate of Adoption along with having your name displayed in the Adopt a Dataset Wall of Honor. Visit the ICPSR website to adopt your data set today!
Friday: The “Best Practices: Codebooks & Data Dictionaries” workshop will be held via Zoom on Feb. 12 at 1:00 p.m. and hosted by Jesse Klein, the Social Sciences Data & Research Librarian. Click here to register!