News

Feb 5, 2026

News, Video

Spring 2026 Data Club recap: Tips on how to avoid repetitive tasks in R. Data Club, provided by the Libraries' Research Data Services, offers strategic lessons and a supportive meeting space for the Columbia community to learn, share, and implement tools for data-driven projects.

Jan 29, 2026

News, Video

Spring 2026 Data Club recap: Tips for working with large datasets in R. Data Club, provided by the Libraries' Research Data Services, offers strategic lessons and a supportive meeting space for the Columbia community to learn, share, and implement tools for data-driven projects.

Jan 28, 2026

News, Video

Spring 2026 Data Club recap: Learn how to structure a research project with uv. Data Club, provided by the Libraries' Research Data Services, offers strategic lessons and a supportive meeting space for the Columbia community to learn, share, and implement tools for data-driven projects.

Oct 2, 2025

News, Video

Fall 2025 Data Club recap: A rapid refresher on the basics of Python programming language followed by an introduction to Proquest’s TDM Studio tool.

Sep 18, 2025

News, Video

Fall 2025 Data Club recap: A tour of working with research data, led by Data Services Librarian Wei Yin, and a preview of upcoming Data Club meetings.

Mar 5, 2025

News, Video

Spring 2025 Data Club recap: Begin learning Polars, an alternative data analysis Python library to pandas, how Polars is similar to and different from pandas, and why it is an appealing choice in 2025 for extract-transform-load (ETL) operations.

Feb 19, 2025

News, Video

Spring 2025 Data Club recap: A look at using SQL and NoSQL databases in Python with pandas.

Feb 6, 2025

News, Video

Spring 2025 Data Club recap: A discussion of project management and how to use Git with VS code.

Nov 26, 2024

News, Video

Fall 2024 Data Club recap: An exploration of how to do lightning-fast data analysis in an Observable notebook.

Nov 7, 2024

News, Video

Fall 2024 Data Club recap: How to translate knowledge of the Observable workflow into generating Jamstack websites.

Nov 2, 2024

News, Video

Fall 2024 Data Club recap: An instructional video on how to install Observable Framework to make data-driven web apps, like dashboards.

Oct 10, 2024

News, Video

Fall 2025 Data Club recap: An exploration of how to make web maps with Leaflet.

Sep 26, 2024

News, Video

Fall 2024 Data Club recap: With a general sense of how to use JavaScript from a prior session, particularly in an Observable environment, participants worked with their own data in their Observable notebooks.

Sep 12, 2024

News, Video

Fall 2024 Data Club recap: Data Club returned in 2024 with a focus on JavaScript! In our first meeting, we reviewed the basic syntax of the language and learned some rudimentary programming idioms.

Apr 3, 2023

Video

The Libraries' Research Data Services team collaborates with the Center for Teaching and Learning (CTL) to design a course on research data management, which includes a series of publicly-available animated videos.

News Archive

Libraries News for years earlier than 2016 is available here:

News

Working with Repetitive Data Tasks in R

Working with Large Datasets in R

Starting a Python Research Project in 2026

Introduction to Python Text Analysis with TDM Studio and ChatGPT

Getting Started with Research Data: Concepts, Tools, & Resources

Data Engineering in Python with Polars 1

SQL and NoSQL Databases in Python with Pandas

Git and Gitting Organized (Also, Text Editing)

Day One Exploratory Data Analysis with JavaScript

Day One Generating Jamstack Websites

Installing Observable Framework from Zero

Day One Map-Making with Leaflet

Day One Data with Observable

Day One JavaScript

Everyone Uses Research Data | Exceptional Scholarship with Research Data, Part 1

News Archive

News

Subscribe to the Libraries' Monthly Newsletter.

Working with Repetitive Data Tasks in R

Working with Large Datasets in R

Starting a Python Research Project in 2026

Introduction to Python Text Analysis with TDM Studio and ChatGPT

Getting Started with Research Data: Concepts, Tools, & Resources

Data Engineering in Python with Polars 1

SQL and NoSQL Databases in Python with Pandas

Git and Gitting Organized (Also, Text Editing)

Day One Exploratory Data Analysis with JavaScript

Day One Generating Jamstack Websites

Installing Observable Framework from Zero

Day One Map-Making with Leaflet

Day One Data with Observable

Day One JavaScript

Everyone Uses Research Data | Exceptional Scholarship with Research Data, Part 1

News Archive