With so many types of charts or graphs to choose from, how do you determine the most effective one to use to share your data? We will explore various families of charts – beyond the simple bar or line chart – that will allow you to compare categories, explore change over time, and examine distribution. We will also show you how to make these charts in Excel and Tableau.
databases
QMC Spring 2023 Speaker Series: Presentation by Stephen Gavazzi (Zoom)
Friday, March 10, 12:00pm – 1:00pm: Dr. Stephen Gavazzi, Director, Center for Human Resource Research (CHRR)
Title: Data and Samples Available Through CHRR at The Ohio State University: The National Longitudinal Studies, Ohio Longitudinal Data Archive, and the American Population Panel
Dr. Stephen Gavazzi
Stephen M. Gavazzi, Ph.D. is Director of CHRR at The Ohio State University, as well as a professor in the College of Education and Human Ecology at Ohio State. Dr. Gavazzi is responsible for the overall operations of CHRR, which serves as Ohio State’s center for data and survey excellence. His areas of expertise include a variety of topics within human development and family science (he is a trained marriage and family therapist), with a special emphasis on matters concerning families with adolescents. Professor Gavazzi also has a strong interest in issues surrounding higher education, including leadership, campus-community relationships, and the mission of land-grant universities. His latest book (What’s Public About Public Higher Ed? published in 2021 by Johns Hopkins University Press) was based on survey data collected using CHRR’s American Population Panel.
About CHRR
CHRR at The Ohio State University supports two large longitudinal databases – the National Longitudinal Studies (NLS) and the Ohio Longitudinal Data Archive (OLDA) – as well as housing the American Population Panel (APP), a group of 45,000+ volunteer members who have agreed to participate in social science and health related studies for research purposes. CHRR Director Steve Gavazzi will present information on these databases and related research tools that are available to researchers and policymakers through Ohio State’s center for survey and data excellence.
Learn more about Dr. Gavazzi by visiting his OSU directory page, as well as his CHRR page.
Spring 2023 QMC Workshop: Introduction to the Dependent Samples t-test and Repeated Measures ANOVA (Zoom)
Group Mean Comparison Workshop Series
Two-Part series-Workshops on group mean comparison by the EHE Quantitative Methodology Center (QMC)
The QMC is offering a two-part series on common group mean comparison methods in social sciences. These workshops will occur from 1:00 pm to 2:30 pm on Wednesday, February 8th and Wednesday, February 22nd. The overall goals of the workshop series are to introduce how and in which research context to use different group mean comparison methods, including the independent sample t-test, analysis of variance (ANOVA), dependent sample t-test, and repeated measures ANOVA. These workshops do not require previous knowledge of the group mean comparison; however, having some experience with an introduction to statistics and SPSS is beneficial. Both workshops are free. Read below for more information about each workshop. You may register for either or both workshops, but you must register for each workshop separately.
Workshop 2: Introduction to the Dependent Samples t-test and Repeated Measures ANOVA, Wednesday, February 22nd, from 1:00 pm to 2:30 pm
This session will cover an introduction to the dependent samples t-test and repeated measures ANOVA. During the workshop, the instructor will perform how to do these analyses in SPSS. Join us for this FREE virtual hands-on workshop! Presented by the EHE QMC. Participants should have their own laptop with SPSS already installed.
Registration will be open soon!
Spring 2023 QMC Workshop: Introduction to the Independent Samples t-test and ANOVA (Zoom)
Group Mean Comparison Workshop Series
Two-Part series-Workshops on group mean comparison by the EHE Quantitative Methodology Center (QMC)
The QMC is offering a two-part series on common group mean comparison methods in social sciences. These workshops will occur from 1:00 pm to 2:30 pm on Wednesday, February 8th and Wednesday, February 22nd. The overall goals of the workshop series are to introduce how and in which research context to use different group mean comparison methods, including the independent sample t-test, analysis of variance (ANOVA), dependent sample t-test, and repeated measures ANOVA. These workshops do not require previous knowledge of the group mean comparison; however, having some experience with an introduction to statistics and SPSS is beneficial. Both workshops are free. Read below for more information about each workshop. You may register for either or both workshops, but you must register for each workshop separately.
Workshop 1: Introduction to the Independent Samples t-test and ANOVA, Wednesday, February 8th, from 1:00 pm to 2:30 pm
This session will cover an introduction to the independent samples t-test and ANOVA. During the workshop, the instructor will perform how to do these analyses in SPSS. Join us for this FREE virtual hands-on workshop! Presented by the EHE QMC. Participants should have their own laptop with SPSS already installed.
Introduction to Data Visualization (Virtual Event)
Join our Data Visualization Specialist, Brian Wisniewski, for a virtual workshop on the basics of Data Visualization. Hosted by the Research Commons, this workshop will break down what data visualization is and why it is important. Examples, tips, tools (Overviewing R, Tableau, Excel), and resources will be shared, with the aim of enabling participants to realize data visualization in their own lives. Join us to broaden your outlook on what data viz is and what it can do for you!
Q&A on the NIH Data Management and Sharing (DMS) Policy (Virtual Event)
Do you have questions about the new NIH Data Management and Sharing (DMS) Policy? This virtual office-hours style event features representatives from six campus offices with expertise in different areas impacted by the DMS policy.
Experts from each area will host a breakout room and participants are encouraged to drop in each room with their questions and actively participate in the discussions. Questions may also be submitted in advance through the registration form or by contacting datamanagement@osu.edu.
Areas represented include:
- NIH DMS Policy 101
- What to share and where to share it
- How to write a DMS plan with DMPTool
- Proposal preparation and budgeting for allowable data costs
- Special topics
- Sharing human research participant data
- Secure data storage
- Intellectual property and commercialization
This event is ideal for researchers and teams who currently receive NIH funding or may apply in the future, as well as staff who support NIH-funded researchers. Registration is required, but participants are welcome to come and go as their time allows during the 90-minute session.
Can’t make the Q&A event? Send your questions to datamanagement@osu.edu and check out the Ohio State NIH DMS Policy Guide for the latest updates. This event will not be recorded.
About the NIH Data Management and Sharing (DMS) Policy
The policy will apply to all new funding applications on or after January 25, 2023 regardless of funding amount. Applicants must submit a DMS plan describing how they will make their data publicly available prior to the conclusion of the award period. Compliance with the submitted and accepted plan will be assessed and non-compliance can impact future funding.
This event is co-facilitated by:
University Libraries Research Commons
Health Sciences Library
Office of Innovation and Economic Development
Office of Responsible Research Practices
Office of Sponsored Programs
Office of Technology and Digital Innovation
Introduction to the new NIH Data Management and Sharing Policy (Virtual Event)
Join us for an introduction to the new NIH Data Management and Sharing (DMS) Policy which will go into effect on January 25, 2023. This policy will apply to all new funding applications on or after this date and requires that applicants include a DMS plan as part of their application materials. 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.
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. Register today for the October 19th session (10:00-11:00)!
Can’t make the workshop? Check out the NIH DMS Policy Guide[https://hslguides.osu.edu/nih-dmsp] for the latest updates, including the slides from this session.
NIH Data Management and Sharing (DMS) Policy Webinar Series Part 2
The NIH Office of Science Policy (OSP) and the Office of Extramural Research (OER) invite you to join them for an informative webinar series focused on the new NIH Data Management and Sharing (DMS) Policy which goes into effect on January 25, 2023. This policy reinforces NIH’s longstanding commitment to making the research it funds available to the public and sets the baseline expectation that sharing data is a fundamental component of the research process.
Registration is required separately for each webinar.
- Thursday, August 11; 1:30 – 3:00 PM EST
Understanding the New NIH Data Management and Sharing (DMS) Policy
In this first webinar of the series, you will learn about DMS policy expectations, the applicability of the policy, how to prepare a Data Management and Sharing Plan, and considerations for sharing data responsibly.
August 11 – Part 1 – DMS Webinar Registration
- Thursday, September 22; 1:30 – 3:00 PM EST
Diving Deeper into the New NIH Data Management and Sharing Policy
In this second webinar of the series, we will expand upon the information presented in the first webinar and dive deeper into topics including privacy protections for data from human participants and justifiable limitations on sharing data.
September 22 – Part 2 – DMS Webinar Registration
Please direct all inquiries to:
OER Communications: OER@od.nih.gov
NIH Data Management and Sharing (DMS) Policy Webinar Series Part 1
The NIH Office of Science Policy (OSP) and the Office of Extramural Research (OER) invite you to join them for an informative webinar series focused on the new NIH Data Management and Sharing (DMS) Policy which goes into effect on January 25, 2023. This policy reinforces NIH’s longstanding commitment to making the research it funds available to the public and sets the baseline expectation that sharing data is a fundamental component of the research process.
Registration is required separately for each webinar.
- Thursday, August 11; 1:30 – 3:00 PM EST
Understanding the New NIH Data Management and Sharing (DMS) Policy
In this first webinar of the series, you will learn about DMS policy expectations, the applicability of the policy, how to prepare a Data Management and Sharing Plan, and considerations for sharing data responsibly.
August 11 – Part 1 – DMS Webinar Registration
- Thursday, September 22; 1:30 – 3:00 PM EST
Diving Deeper into the New NIH Data Management and Sharing Policy
In this second webinar of the series, we will expand upon the information presented in the first webinar and dive deeper into topics including privacy protections for data from human participants and justifiable limitations on sharing data.
September 22 – Part 2 – DMS Webinar Registration
Please direct all inquiries to:
OER Communications: OER@od.nih.gov
Secondary Data Symposium (Online)
The Secondary Data Symposium is an annual experience for biostatisticians and clinical and scientific partners. This year, the theme is “Improving Health Outcomes with Use of Secondary Data.” The goal is to leverage secondary data in pursuit of creating a healthier future.
For all researchers, clinicians, and Ohio State faculty, this symposium will provide attendees with a detailed overview of what databases are already available. Along with that, the symposium will provide examples of studies and grants utilizing this data and will outline the resources available through the Secondary Data Core.
