Celebrate Love Data Week

Love Data Week

Love Data Week is an international event celebrating and engaging with important issues in data collection, sharing, reuse, and preservation. Each year during the week of Valentine's Day, institutions worldwide host data-related events sharing news and events on social media. Love Data Week 2024 takes place from February 12 to 16, and the social media hashtag is #LoveData24. In celebration of the event, Rutgers–New Brunswick Libraries is offering various coding, GIS, AI, and data management workshops

This year's Love Data Week theme is My Kind of Data, with a focus on disciplinary data, inclusive data, and data communities. What kind of data is your kind of data? Come to our workshops and learn about the varieties of data and their uses.

Register for our 2024 Love Data Week workshops

Data Science Basics: Introduction to SQL
Monday, February 12, 10:00-11:30 a.m (Online)
This online workshop will provide a beginning level introduction to computer programming using Python, a popular general-purpose programming language. No prior programming knowledge is required. We will present Python syntax, assigning variables, data types, and conditional statements and make use of replit.com, a browser-based tool for coding.

Introduction to NVivo
Monday, February 12, 10:00-11:30 a.m. (Online)
NVivo is a qualitative data analysis software that helps researchers manage, code, and markup data for both mixed methods and qualitative studies. This workshop introduces the NVivo workspace and basic features, including organizing data, making mind maps, and getting acquainted with data coding. It also provides an overview of qualitative methods commonly used in the humanities and social sciences.

Finding, Creating, and Working with GIS Data
Monday, February 12, 12:00-1:00 p.m. (Online)
Location can play an important part in your research. "Everything happens somewhere..." 
In this short, interactive workshop, we'll learn about spatial data, explore GIS (geographic information systems) data resources and search strategies, review critical data literacy and attribution information, and discuss building spatial datasets.

R Graphics with ggplot2
Tuesday, February 13, 3:00-4:30 p.m. (Online)
Data librarian Ryan Womack will explore the power and flexibility of data visualization using ggplot2 in R.  The data visualization theme will continue with Data Science Graduate Specialist Tanya Khanna's exploration of how to use Python's major tools, Matplotlib and Seaborn.

Frederick Douglass Day Transcribe-a-thon
Wednesday, February 14, 12:00-3:00 p.m. (Hybrid)
Douglass Day 2024 will feature the general correspondence of Frederick Douglass from the Library of Congress. About the collection: Frederick Douglass Papers: General Correspondence, 1841 to 1912. Participants may come or leave at any time during the event. Learn more about Douglass Day at https://douglassday.org.

Next-Gen AI: Reshaping Roles and Pathways in Higher Education
Thursday, February 15, 10:00-11:30 a.m. (Online)
Dive into the exciting world of AI with our session "Next-Gen AI: Reshaping Roles and Pathways in Higher Education" and discover how it's transforming the landscape for everyone in colleges and universities. This session isn't just for tech experts; it's for anyone interested in how AI can personalize learning, speed up research, and simplify daily tasks. You'll get insights into the latest AI tools, like chatbots and Microsoft Copilot, and learn how they're making a significant impact. Whether you're a student, educator, or simply eager to see where the future is heading, this session is your gateway to grasping the AI wave sweeping through higher education. This session will be presented by Eduardo Molina, Rutgers University Vice President for Institutional Research and Decision Support.

Unveiling Data Stories: Python for Visualization and Exploration
Thursday, February 15, 4:00-5:30 p.m. (Online)
This workshop is designed to guide participants through the process of revealing hidden stories in data using Python. It focuses on using Matplotlib and Seaborn, two prominent visualization tools, for effective exploratory data analysis (EDA). This workshop emphasizes the creation of engaging visual narratives, enabling participants to transform complex data insights into compelling and understandable visual formats.

Data Management Plans for Funding Agencies
Friday, February 16, 10:30 a.m.-12:00 p.m. (Online)
Data management doesn’t have to be difficult! Librarians Yingting Zhang (RBHS) and Laura Palumbo (NB) will review data sharing and management planning one year after the changes to the NIH policy. Review the requirements of data management plans for both NIH and NSF, good data management practices, factors to consider in repository selection, and tools to use in preparing your plan.

View all upcoming workshops.

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