Participate In This International Celebration of Data!


Love Data Week is a week-long international celebration of data, dedicated to raising awareness of the importance of research data management, security, sharing, and preservation. This year’s theme is My Kind of Data. Join us for an exciting series of free events that emphasize data equity and inclusion and creating a kinder world through data, while we share practical tips and resources to help researchers use good data practices. Whether you’re working on qualitative or quantitative data, we’ve got events for you! All members of the University of Maine community are welcome to attend.

Departments are invited to host data-related events, and related content can be found on various social media platforms at the hashtag #LoveData24.

 

 

Free Virtual Events Hosted Internationally

Attend one of the many free workshops and hands-on training events being offered through other institutions. For a full list of events and opportunities, visit the International Love Data Week site

Introduction to Data Visualization

In this introductory workshop to data visualization, participants will gain an understanding of the process for making good visualizations.

Intro to Python

This workshop is a no-installation, no-experience introduction to programming with Python. This event is part of Falvey Library’s celebration of International Love Data Week.

Intro to Data Management Plans

When you’re working on incorporating good research data management (RDM) practices into your research, a data management plan, or DMP, is a crucial tool to ensuring you can keep everything organized, both during and after your project.


Attend any (or all) of the free events offered by ARCSIM:

MANAGING YOUR CODE: INTRODUCTION TO GIT AND GITHUB

photo of Kevin Wentworth

Jeanine McGann portrait

Speakers: Kevin Wentworth, Assistant Director (ARCSIM) and Jeanine McGann, Information Systems Analyst (ARCSIM)

Looking to manage code collaboratively? Git is one of the most widely used version control systems in the world, and can help you track code changes and revert to previous versions easily. This workshop will introduce you to Git core functionality, as well as to Github, one of the leading platforms for hosting and sharing code with Git.

Time: Monday, February 12th from 2:00pm – 3:00pm

Location: Raymond H. Fogler Library Classroom 1 and via Zoom

Register Here

THE SEWALL COMPANY AERIAL PHOTOGRAPHS COLLECTION AT UMAINE SPECIAL COLLECTIONS

Speaker: Paul Smitherman (Fogler Library, Special Collections)

This session will provide an introduction to the Sewall Co. Aerial Photographs Collection and some of the current applications of the imagery, including the current status of efforts to digitize the photographs and make them available. In October 2019, UMaine Special Collections received over 3,000 rolls of historical aerial photography dating from 1948 through 2015 of Maine and the surrounding New England area. An overview of data and other technical considerations will be presented.

Time: Tuesday, February 13th from 1:00pm – 2:00pm

Location: Raymond H. Fogler Library Classroom 1 and via Zoom

Register Here

DATA SECURITY BEST PRACTICES
Melissa Kimble portrait

Speaker: Melissa Kimble, Sr. Research Data Security Analyst (ARCSIM)

If you are interested in enhancing your security posture, or are just generally curious about data security, this seminar will provide an overview of the top actions that can be taken to secure research data and systems. Additional time will be allocated at the end of the seminar for questions and discussion on research data security.

Time: Thursday, February 15th from 1:00pm – 2:00pm

Location: Raymond H. Fogler Library Classroom 1 and via Zoom

Register Here

INTRODUCTION TO CONTAINERS: CREATING REPRODUCIBLE, SCALABLE, AND PORTABLE WORKFLOWSLaura Jackson portrait

Speaker: Laura Jackson, Integrative Data Scientist (ARCSIM)

This workshop will introduce you to the key concepts and tools for using containers to enhance your research workflows. Containers make it easy to install software, move your computation between different computing environments, and make your workflow reproducible. In this session, we will discuss the advantages, and how to use containers in several common scientific computing scenarios.

Time: ***Rescheduled to Friday, February 23rd from 1:00pm – 2:00pm

Location: Raymond H. Fogler Library Classroom 1 and via Zoom

Register Here