Join us for a virtual Introduction to Data Visualization workshop. Learn what data visualization is and why it is important. Examples, tips, tools, best practices and other resources will be shared to help you effectively visualize data for presentations, research and more.
data analysis
Data Cleaning for Social Sciences Workshop 3: Advanced Data Cleaning Procedures
The QMC is hosting a free, virtual three-part workshop series on data cleaning for social sciences. The event will be held over Zoom, and cover basic, intermediate, and advanced data cleaning procedures.
The overall goals of this workshop series are to equip participants, particularly in the field of social sciences, with the essential skills and knowledge needed to effectively clean, prepare, and transform data for robust and accurate analysis in their research and studies.
The workshop series will be led by our Graduate Research Associate, Lizeng Huang.
Register for this event by clicking the link here, and visit our Spring 2024 Workshop Series page for more information about our upcoming events.
Data Cleaning for Social Sciences Workshop 2: Intermediate Data Cleaning Procedures
The QMC is hosting a free, virtual three-part workshop series on data cleaning for social sciences. The event will be held over Zoom, and cover basic, intermediate, and advanced data cleaning procedures.
The overall goals of this workshop series are to equip participants, particularly in the field of social sciences, with the essential skills and knowledge needed to effectively clean, prepare, and transform data for robust and accurate analysis in their research and studies.
The workshop series will be led by our Graduate Research Associate, Lizeng Huang.
Register for this event by clicking the link here, and visit our Spring 2024 Workshop Series page for more information about our upcoming events.
Data Cleaning for Social Sciences Workshop 1: Introduction & Basic Data Cleaning Procedures
The QMC is hosting a free, virtual three-part workshop series on data cleaning for social sciences. The event will be held over Zoom, and cover basic, intermediate, and advanced data cleaning procedures.
The overall goals of this workshop series are to equip participants, particularly in the field of social sciences, with the essential skills and knowledge needed to effectively clean, prepare, and transform data for robust and accurate analysis in their research and studies.
The workshop series will be led by our Graduate Research Associate, Lizeng Huang.
Register for this event by clicking the link here, and visit our Spring 2024 Workshop Series page for more information about our upcoming events.
By the Numbers Discussion: School Pandemic Preparedness (Zoom)
How are US schools prepared for the next pandemic? What measures have been taken by researchers and administrators? Are we ready for another pandemic?
Come learn about this and much more on Friday, January 19. We will host Josue (Josh) De La Rosa, Director of Annual Reports and Information at the National Center on Education Statistics (NCES) for an invited presentation and extended discussion on school pandemic preparedness.
By the Numbers discussion series tackles various topics of interest to researchers, students, faculty, administrators, and more.
Register for this event by clicking the link here, and visit our By the Numbers Discussion Series page for more information about our upcoming events.
Introduction to the new NIH Data Management and Sharing Policy (Virtual Event)
Do you have an upcoming NIH proposal due? Join us to learn about the newly implemented NIH Data Management and Sharing (DMS) policy, including the requirement to submit a DMS plan with all new applications and renewals. Compliance with the submitted and accepted plan will be assessed, and non-compliance can impact future funding.
This informational session will provide an introduction to the policy, as well as the tools and resources provided by Ohio State to help you. The final 30 minutes will be reserved for questions.
Topics to be covered include:
- How the DMPTool can help you address the required elements of a DMS plan
- Tips for identifying a suitable repository
- Guidance on how to budget for data-related costs
- Who on campus can help with questions
This workshop is ideal for researchers who currently receive NIH funding or may apply in the future, as well as staff who support NIH-funded researchers.
Can’t make the workshop? Check out the NIH DMS Policy Guide for the latest updates, including the slides from this session. This workshop will also be offered on January 11.
For questions, or additional information, please contact us at datamanagement@osu.edu.
Fall 2023 Speaker Series: High School Data Science Controversy: California and Beyond (Zoom)
Friday, October 20, 12:00pm – 1:00pm: Dr. Jelani Nelson, Professor of Electrical Engineering & Computer Science, University of California Berkeley (UC Berkeley)
Title: High School Data Science Controversy: California and Beyond
Dr. Jelani Nelson
Bio
Dr. Jelani Nelson is a professor of Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He won the 2014 Presidential Early Career Award for Scientists and Engineers. Nelson is interested in big data and the development of efficient algorithms.
Nelson is the creator of AddisCoder, a computer science summer program for Ethiopian high school students in Addis Ababa. After his doctorate, Nelson worked as a postdoctoral scholar at the Mathematical Sciences Research Institute in Berkeley, California, then Princeton University and the Institute for Advanced Study.[3] He specializes in sketching and streaming algorithms.
Learn more about Dr. Nelson by visiting his UC Berkeley page, as well as his Twitter page.
Registration for Dr. Nelson’s talk is now open! Click the link here to register!
Missing Data Workshop
The QMC is hosting a 90-minute workshop on missing data, with a particular focus on addressing missing data in regression analysis. The overall goal of this workshop is to give attendees the tools to be able to assess the nature of missingness within datasets, and build attendees’ capacities to address missingness within their research. The workshop will use R, and directions can be found below to download R.
Menglin Xu, PhD
The workshop will be led by Dr. Menglin Xu. Menglin Xu is a Ph.D. graduate from the Quantitative Research, Evaluation, and Measurement (QREM) program of EHE, OSU. Menglin has teaching and research experience in multivariate statistics, psychometrics, causal inference, longitudinal data analysis, Bayesian statistics, meta-analysis, and Monte Carlo simulations, among others. Serving as a biostatistician at Medical Center of OSU, Menglin is using her expertise in experimental design and statistics to support professional works in diversified areas of health sciences, psychology, and education.
Crane Research Forum (Zoom)
Big Little Leap: Challenges and Possibilities in the Kindergarten Transition:
The transition to kindergarten can present significant challenges to young children, given that many are transitioning for the first time into a formal school environment with specific rules and routines. In this presentation, Dr. Laura Justice and Dr. Kelly Purtell will provide a theoretical framework for understanding the kindergarten transition, detail distinctive differences in preschool and kindergarten settings, and define the common challenges that children face in their transition. Additionally, they will also present findings from the Kindergarten Transition Practices (KTP) study, a federally funded randomized controlled trial in which a kindergarten-transition program for facilitating kindergarten transition practices was experimentally tested. Hear insights on the KTP study, including what was learned, what challenges were faced, and where to go from here.
Introduction to Data Visualization in R (Virtual Event)
This workshop will consist of a beginner friendly introduction to the R programming language for data visualization. We will explore the pros & cons of using R and showcase examples & resources. Those with or without programming experience are encouraged to attend! Join us to learn more about visualizing data using the R programming language, so that you can visualize yourself as a future R user!
