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 Whose Data Is It, Anyway?. 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 #LoveData25.

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

Survey Research Tools: An Overview of Qualtrics and REDCap

Qualtrics and REDCap are two robust survey data collecting platforms. This workshop provides an overview of both tools, allowing participants to compare and contrast their features and benefits. 

Indigenous Data Sovereignty: The Elements of Care

Join our panel of experts as they explore the ways Indigenous communities currently use scientific data as tools of care. From genomic data to ecological data and sociological data, they share how information is used to push for sovereignty and self-determination.






MANAGING YOUR CODE: INTRODUCTION TO GIT AND GITHUB

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

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

DATA SECURITY BEST PRACTICES

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

INTRODUCTION TO CONTAINERS: CREATING REPRODUCIBLE, SCALABLE, AND PORTABLE WORKFLOWS

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