Love Data Week is an annual, week-long event each February dedicated to spreading awareness of the importance of data management, sharing, preservation and reuse.
Hesburgh Libraries and the Navari Family Center for Digital Scholarship join other institutions in hosting educational events for those who work with and care about research, professional, community and personal data. Due to the pandemic, all events were virtual this year.
Workshops such as NVivo for Beginners and Bringing Order to Qualitative Madness with ATLAS.ti taught attendees about tools and techniques for working with qualitative data. This year’s drop-in event, Managing Your Personal Data, invited participants to discuss tips and tricks for organizing and managing their personal documents, photos and other files.
At the session The U.S. Census: Then, Now, and Moving Forward participants explored the beginnings of the U.S. Census, its current charge and intent and the challenges it faces in contemporary society. Attendees experimented with tools useful for socio-demographic research involving U.S. Census resources — specifically, extracting and customizing data from Data.Census.gov and visualizing data with Social Explorer.
Similar to Love Data Week 2020, the most popular event was the Data Haiku Contest, which received submissions from all across campus. The haiku submissions had to be related to data in some way (e.g., data management, processing, sharing, preservation, reuse, etc.).
2021 Haiku Contest Winners
The following winners are in no particular order.
Title: D8a Boi
He's a data boy
She said see you later boy
Find a new model
Author: Alec Torigian, Alliance for Catholic Education
Mined from raw to rich
“Data’s the new oil,” they say
Fueling new frontiers
Author: Maggie McMahon, Undergraduate Student, ITAO/Business Analytics
Title: Lost Connection
Message of Despair
Bane of Procrastinators
Author: Peter Schimpf, Undergraduate Student, Aerospace Engineering
Title: Ethnographic Data from a Fort Wayne Funeral
Draped in white she lies
I stare at her for long, since
The dead cannot talk
Author: Helal Mohammed Khan, Graduate Student, Peace Studies and Anthropology
The bayesian stats,
think independent events.
Likelihood of case.
Author: Sarah Nicholls, Undergraduate Student, Applied and Computational Mathematics and Statistics
Title: Ode to Data
Oh! your lovely curves,
You’re a variance from all
the standard subjects
Author: Matilda Sweis, Undergraduate Student, Computer Science
Thank you for the data file.
Codebooks are nowhere.
Author: Don Brower, Hesburgh Libraries
Title: Cartesian love story
A scattered plotline
Author: Brian Fremeau, Office of Campus Safety
Title: Tik Tok
Forget who you are—swipe on
Let algos decide…
Author: Tommy Campbell, Undergraduate Student, Finance
metadata connects us
(i know who you are)
Author: Anna Michelle Martinez-Montavon, Hesburgh Libraries