The AERA-ICPSR Partnership for Expanding Education Research in STEM (PEERS) Data Hub Series in STEM Data and Data Use, features workshops that examine the structure, design, and purpose of multiple data sets that can be analyzed using quantitative, qualitative, and/or multi-method techniques. In these workshops participants can explore diverse forms of designed data, administrative data, and big data that can be used in STEM research. The publicly available datasets presented include large-scale student and school data across educational levels and contexts, such as federally supported datasets that provide a national or international scope as well as data that focus on specific states, regions, and local areas. Many of the data sets can be analyzed using custom designed analysis tools that will be presented in the webinars. Led by experts in education research, psychometrics, and the social sciences, the workshops provide an overview of the data sets and discuss potential uses to address salient topics in education and STEM research.
Learning Opportunities Early and Often: Longitudinal Findings from the Study of Early Child Care and Youth Development July 16, 2026; 12:00 pm ET
Instructors:
Andres Bustamante, University of California, Irvine Eric Dearing, Boston College Deborah Vandell, University of California, Irvine
Longitudinal datasets like the Study of Early Child Care and Youth Development (SECCYD) are uniquely powerful tools for educational and child development researchers who study STEM education and learning. With 26 years of data, the SECCYD follows a large cohort of children from birth, providing rich assessments of cognitive, social, emotional, and relational development, as well as the quality of the environments in which children grow—including their homes, early education settings, schools, afterschool programs, and communities.
Drawing on their multiyear collaboration, Andres Bustamante, Eric Dearing, and Deborah Vandell will demonstrate how the SECCYD can be leveraged to uncover new insights into the impact of developmental and educational opportunities across childhood and adolescence. They will discuss their work, the evolution of their collaboration, and practical guidance for accessing and using the SECCYD.
Attendees will gain an understanding of how the researchers:
This workshop is designed for graduate students and early career researchers seeking to strengthen their understanding of the research process, as well as scholars interested in using SECCYD data to support STEM education research.
Click here to register.
Unleash the Power of SLDS: Preschool through grade 20 Datasets for STEM Research July 23, 2026; 12:00 pm ET
Speakers:
Beth Kelly, KYSTATS Rachel Leventhal-Weiner, DataLinkCT Tod Massa, VLDS
Moderator:
Nancy Sharkey
In recent years, many states have combined administrative datasets to create a system that can track a student's experience from early learning through postsecondary school and into the workforce. These databases are often referred to as State Longitudinal Data Systems (SLDS) or P20W (Preschool through grade 20) systems and can transform educational research. They can include data from K-12, Postsecondary, Adult Education, workforce, benefit program participation and sometimes law enforcement systems. Join experts from Virginia, Kentucky, and Connecticut as they discuss key aspects of their SLDS systems including:
This workshop is ideal for graduate students, early career and senior researchers looking for a powerful source of longitudinal and outcome data on STEM education issues.
Unlocking the STEM Education Data Vault June 11, 2026; 12:00 pm - 1:15 pm ET
Sandra Tang, ICPSR at the University of Michigan Julia Kaufman, RAND Corporation Elizabeth Steiner, RAND Corporation Sean Simone, Council for Opportunity in Education
Learn about the breadth and depth of STEM education related datasets available for research from experts. In this webinar, attendees will:
This workshop is ideal for graduate students, early career and senior researchers that are looking for large scale datasets to answer STEM related research questions.
Introduction to the Stanford Education Data Archive (SEDA) March 9, 2021; 12:30pm -2:30pm ET
sean f. reardon, Stanford University Andrew D. Ho, Harvard University Benjamin R. Shear, University of Colorado, Boulder Erin M. Fahle, St. John’s University
This workshop introduces attendees to the Stanford Education Data Archive (SEDA), a database of nationally-comparable academic achievement data made publicly available by The Educational Opportunity Project (EOP) at Stanford University. SEDA is based on roughly 430 million standardized test scores from 3rd-8th grade students in U.S. public schools, districts, counties, and states from the 2008-09 through 2017-18 school years. These data enable nationwide research to better understand student achievement and educational opportunity. In this workshop, the EOP team will provide a description of SEDA’s contents, showcase examples of correlational and causal research that can be conducted with SEDA, and highlight relevant validation studies that support the use of SEDA in different types of research. Attendees can explore the SEDA data before and during the training using our interactive data explorer (https://edopportunity.org/explorer/) or by downloading the data files (https://edopportunity.org/get-the-data/) and using statistical software (e.g., R or Stata). For more information on SEDA and research using SEDA please visit the Research section of the EOP website (https://edopportunity.org/research/). Prior to the workshop please complete the online Data Use Agreement: https://edopportunity.org/get-the-data/.
The PEERS Data Hub is joint effort of AERA and the Inter-University Consortium for Political and Social Research (ICPSR) that is NSF funded (Award ECR 1937612). It provides collaborative space for STEM education research communities to build and advance knowledge by sharing innovative ideas, methods, and tools. Further information about the PEERS Data Hub is available here.