February 8th - February 12th, 2021
What is Love Data Week?
Love Data Week is an international celebration of data hosted by the Inter-university Consortium for Political and Social Research (ICPSR). The purpose of Love Data Week is to raise awareness and build a community to engage on topics related to research data analysis, management, sharing, preservation, reuse, and library-based research data services.
This year’s theme is Data: Delivering a Better Future.
Monday, February 8th
12:00 pm - 1:00 pm Kickoff to Love Data Week and Introduction to Data Services Offerings
In this kickoff session for Love Data Week we will introduce you to Data Services, and our offerings, in a series of lightning talks. These talks will include finding maps and learning StoryMaps with Lena Denis, ArcGIS with Bonni Wittstadt, Data Archiving with Chen Chiu, De-identification with Dave Fearon, and Data Visualization and an introduction to Love Data Week with Pete Lawson.
2:00 pm - 3:00 pm Introduction to Data Cleaning with OpenRefine
Pete Lawson, Ph.D., Data and Visualization Librarian
OpenRefine (formerly Google Refine) is a powerful free and open source tool for working with messy data: cleaning it and transforming it from one format into another. Do you a have messy dataset, with missing, corrupted, misspelled, or duplicated data? This lesson will teach you to use OpenRefine to clean and format data effectively, as well as how to automate and reproduce the cleaning process. OpenRefine is an easy to use GUI tool, and does not require any programming knowledge.
Tuesdaay, February 9th
12:00 pm - 1:00 pm Documenting Your Research Data
Chen Chiu, Ph.D., Data Management Consultant
Documenting your research data is a prerequisite for data sharing and your own use of your data in the future. Good documentation helps your data be discoverable, understood, and trusted by others. We will discuss the following topics in this workshop: Metadata standards - using metadata standards will help you stay consistent in your documentation and ensures other researchers in your field can understand and re-use your data. Documenting tabular data - Tabular data is one of the most widely used ways to structure research data. Documenting code: Researchers often write code to acquire, manage and analyze research data. Providing good documentation for your code is important for others to understand and reuse your scripts.
Wednesday, February 10th
12:00 pm - 1:00 pm: Introduction to ICPSR
Pete Lawson, Ph.D., Data and Visualization Librarian
The Inter-university Consortium for Political and Social Research (ICPSR) provides leadership and training in data access, curation, and methods of analysis for the social science research community. This session will introduce you to the resources available to JHU affiliates through the ICPSR, including one of the world’s oldest and largest social and behavioral science data archives, educational resources including the Summer Program in Quantitative Methods of Social Research, and data management plan and budget estimate support for grant proposals. Whether you are a student, faculty, or staff, there is likely something at the ICPSR for you!
2:00 pm - 3:30 pm: Data for Studying the Quality of Elections and Democracy
Bryce Corrigan, Ph.D., Senior Statistician and Lecturer, SNF Agora Institute
Scholars of democracy have witnessed a worldwide surge in phenomena undermining it in recent years, sounding the alarm most recently over Trump and his partisans’ disinformation campaign to undermine electoral integrity and foment insurrection. In this session, I will introduce how scholars measure the quality of elections and liberal democracy and the use of several publicly available datasets. In looking at these data, we will see how they reflect (or fail to reflect) democracy as we might conceive of it, and also how they can aide us in grasping changes, fast and slow, born out of sociopolitical, economic, and technological forces.
Thursday, February 11th
2:00 pm - 4:00 pm: Bring Your Research Alive with StoryMaps: Beginners
Friday, February 12th
11:00 am - 12:00 pm Working with APIs and the U.S. Census in R
Reina Murray, Geospatial Data Curator and Applications Administrator
Heard about Application Programming Interfaces (APIs), but don’t know how to use them? Join JHU Data Services in this one-hour presentation, as we cover a powerful tool for researchers to access and acquire data in R. This presentation will first introduce APIs and how to make API requests in R. The presentation will then demonstrate and go over several options for how to access data from the U.S. Census Bureau’s various APIs. Prior experience and knowledge of R is recommended.
2:00 pm - 4:00 pm: Bring Your Research Alive with StoryMaps: Advanced
To host a Love Data Week event, or for more information, please reach out to email@example.com.
Learn More About Data Services
Data Services supports JHU researchers, faculty, and students on the Homewood and East Baltimore campuses with a spectrum of resources for working with data to make your research and teaching successful. For consulta tions, training, or archiving services, please reach out via chat (Live chat hours: Monday to Thursday, 12 pm to 5 pm and Friday, 12 pm to 3 pm) or by email.
For more information about our services, visit our website at https://dataservices.library.jhu.edu/.
For more data-related training and workshops beyond those offered during Love Data Week please visit our Training and Workshops page.