9–A: The Road to Our CEDS Lake House – A Map for the Data Highway
Kathy
Warren, Maine Department of Education
Ben
Silberglitt, Cedar Labs
Marc
Hoffmeister, eScholar
Jenni
Moore, eScholar
The Maine data team, eScholar, and Cedar Labs have been exploring all of Maine's databases to prepare for the move to the CEDS lake house and, boy, have we had some adventures! Come join us as we share our on-going journey of data migration with you. Process mapping is one of the most critical planning activities you can participate in to ensure the success of your modernization efforts. It pays dividends in increased transparency and alignment with your operational and program areas and improved data quality! Our "assembly line" provides a map for moving data from both legacy data warehouses and other disparate data stores into the lake house. All roads on this map culminate at our destination: a CEDS-aligned lake house. Grab a spot on the dock and let us show you the view!
Topic: Data Management
Complexity: Entry Level
9–B: Postsecondary Student Income Background Measure: National Preliminary Results
https://youtu.be/nHEjVu9RTM0?si=s-I1Yj6LI12F1McS
Beatrix Randolph, National Student Clearinghouse Research Center
The National Student Clearinghouse Research Center's recent Transfer and Progress report included the first application of an experimental income background measure for students enrolled in Title IV degree-granting institutions during the pandemic. This session provides findings on income-driven disparities in postsecondary access and success with a focus on transfer students. The income background measure leverages student address data reported to the Clearinghouse, mapped to Census Bureau income data at the census tract level. The resulting comparative measure situates students' income background in a national income distribution rather than a narrower comparison among enrolled students.
Topic: Data Linking Beyond K-12
Complexity: Entry Level
Download Zipped PDF Presentation:
9–C: The Evolution of Washington State's P20W Data System
Megan
Schoor, Office of Financial Management / Education Research and Data Center
Katie
Weaver-Randall, Office of Financial Management / Education Research and Data Center
Tim
Norris, Office of Financial Management/Education Research and Data Center
Since 2007, the Education Research and Data Center (ERDC) has collaborated with state agencies to compile student data from preschool to the workforce (P20W). ERDC's P20W longitudinal data system is an asset for researchers, policymakers, and the public to understand the impacts of policies and programs on Washington students. ERDC recently conducted a P20W Data System Study to evaluate the system's technical processes and tools. This session will provide an overview of the study, lessons learned, and ERDC's next steps.
Topic: SLDS
Complexity: Intermediate Level
Download Zipped PDF Presentation:
9–D: Achieving Accessibility and Equity: A Roadmap for Inclusive Innovation
Fred
Edora, Rhonda Weiss Center for Accessible IDEA Data
Eric
Caruso, U.S. Department of Education
Nichole Bui, Rhonda Weiss Center for Accessible IDEA Data
Marcelo
Paiva, Rhonda Weiss Center for Accessible IDEA Data
Ensuring and achieving accessibility is a historical challenge. The Rhonda Weiss Center for Accessible IDEA Data, one of OSEP's newest technical assistance centers, looks to tackle that challenge. Plan a stop on your data highway trip with us to discover how the Weiss Center will help states address issues associated with accessibility to IDEA data. Participants will have the opportunity to provide feedback on accessibility challenges experienced by their states as well as provide input on the development of an open-source dynamic data reporting tool that provides equitable access to persons with disabilities.
Topic: Data Use
Complexity: Entry Level
Download Zipped PDF Presentation:
9–E: Partnering to Preview IDEA Data Quality
Audrey
Rudick, IDEA Data Center
Richelle
Davis, Office of Special Education Programs
Join IDC and OSEP to discuss processes for improving IDEA data quality, reviewing files against business rules, and creating data quality notes. EDFacts file submission has changed so ensuring that EDFacts coordinators and Part B data managers work together is more crucial than ever. With new roles and processes available, maintaining data quality means all team members must understand business rules, data submissions, and how to write high-quality data notes. This discussion, featuring the new IDEA Metadata Edit Check Tool, will help you improve conversations around 618 submissions and data quality prior to uploading files into the new EDPass system.
Topic: Data Quality
Complexity: Entry Level
Download Zipped PDF Presentation:
9–F: Illinois Early Childhood Asset Map: Developing the Illinois Early Childhood Participation Data Set
Karla
Andrew, Illinois Early Childhood Asset Map
Bryan
Preston, Illinois Early Childhood Asset Map
Ricardo
Covarrubias, Illinois Early Childhood Asset Map
Because data are crucial to making effective decisions at every level (classroom to state policy), it is essential to see data as the connective pipeline running through family decisions about enrollment, programmatic decisions on service delivery, and statewide policy decisions. Illinois Early Childhood Asset Map (IECAM) provides tools to present and understand early childhood services and demographics. Specifically, IECAM is collaborating to design, manage, and implement the Illinois Longitudinal Data System, which includes the Early Childhood Participation Dataset (ECPDS). ECPDS tracks each child's participation in early childhood services and allows analysis of characteristics by geography, race, disability, gender, and financial status. IECAM, in partnership with Chapin Hall and Northern Illinois University, is developing this system to improve decision-making in education through better data use.
Topic: Other
Complexity: Entry Level
Download Zipped PDF Presentation:
9–G: The Road to Good Quality Data Reporting Starts with Good Troubleshooting Practices
Jennifer Davies, National Center for Education Statistics
This presentation will be a technical talk looking into the best practices for Troubleshooting code. The goal of good troubleshooting is to create an informative report with the strongest data quality possible. All data programmers know there are numerous ways to approach debugging so this presentation will review a few of the methods that I have implemented for EDFacts data. This presentation will use SAS code as the programming language of choice.
Topic: Data Quality
Complexity: Intermediate Level
Download Zipped PDF Presentation:
9–H: Driving on the EDGE: An On-Ramp to Demographic and Geographic Data Resources from NCES
Doug
Geverdt, National Center for Education Statistics
Kiara
Nerenberg, National Center for Education Statistics
Annie
Maselli, National Center for Education Statistics
Location is a core condition that impacts educational inputs and outcomes, so the NCES Education Demographic and Geographic Estimates (EDGE) Program develops a variety of data resources to better understand the social and spatial context of education. This presentation introduces the primary surveys, data products, and analytic tools provided by the program, and it briefly reviews how the EDGE data are applied for research, policy, and program administration. Discussion will include plans for extending the EDGE geo-centric resources and practical ways you can incorporate EDGE data to address your information needs.
Topic: Other
Complexity: Entry Level
9–J: CCD Nonfiscal Coordinator Training
Beth
Sinclair, AEM Corporation
Chen-Su
Chen, National Center for Education Statistics
This session will support both new and seasoned state Common Core of Data (CCD) nonfiscal coordinators. The first part of the session will discuss the roles and responsibilities of CCD coordinators as well as how CCD data are released and used. The second half of the session will highlight CCD-related business rules and common reporting errors in the new collection system, EDPass. It will also provide time for questions and feedback from coordinators.
Topic: CCD
Complexity: Intermediate Level
9–K: Developing an Equity and Opportunity Centered Research Agenda for an SLDS
Kathi
Gillaspy, Statewide Longitudinal Data Systems Technical Assistance
Ross
Goldstein, Maryland Longitudinal Data System Center
Xian
Xu, Virginia Department of Education
Using SLDS data to identify and address issues of opportunity and equity in education and workforce has been a recent focus of the most recent SLDS grant round from the US Department of Education. This session will explore best practices and two state examples of the processes used to develop a robust research agenda that focuses on defining equity and opportunity, developing critical questions to answer through research, and garnering stakeholder input and feedback on the research agenda. State examples will highlight both successes and challenges when focusing on equity and opportunity in research.
Topic: SLDS
Complexity: Intermediate Level
Download Zipped Adobe Presentations: