11–A: Considerations When Visualizing Equity Data
Kathi
Gillaspy, Statewide Longitudinal Data Systems Technical Assistance
Matt
Berry, Kentucky Center for Statistics
Peg
Votta, Rhode Island Department of Education
Using SLDS data to identify and address equity issues 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 internal and external processes used to develop data visualizations that represent equity issues, as well as successes and challenged encountered in the work. The work of the two states highlights careful consideration for those represented in the data, as well as strategies used to support the appropriate interpretation and use of the data.
Topic: SLDS
Complexity: Intermediate Level
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11–B: Building a Solid Data Foundation with Interoperability and Reaping the Benefits
Andrew
Koop, Monroe County Community School Corporation
Alexis
Harmon, Monroe County Community School Corporation
Molly
Stewart, Indiana University - INsite Consortium
Rosh
Dhanawade, Education Analytics
In this session, we discuss building a solid data foundation using interoperability and the Ed-Fi data standard. While this kind of foundation can be complex and require buy-in from multiple departments, a district's dedication to taking on such a project can result in widespread benefits, including increased attention to data governance, surfacing issues with (and solutions for) data quality, and increased quality of downstream visualizations and reports. Perhaps most importantly, one solid foundation should be the basis on which to build most or all major data projects, depending on vendor willingness to engage in interoperability technologies.
Topic: Data Standards
Complexity: Entry Level
11–C: Kansas Next Chapter: Moving to Data Standards Amid a Changing Landscape
Sophie
Hanson, Double Line Inc.
Julie
Cook, Kansas State Department of Education
Kansas has begun its journey of implementing CEDS to unify the agency's data for use cases beyond federal reporting. Preplanning has been completed, decisions have been made, work has begun, and challenges are being met. Implementing large-scale data projects is a complex task with many challenges, including those introduced by the rapidly evolving CEDS technology landscape. Details regarding what is changing in CEDS and what states can expect down the road can be a moving target or may still need to be created. This session will discuss the use of CEDS beyond federal-reporting use cases and how Kansas is accommodating the rapid advancement of CEDS.
Topic: Data Standards
Complexity: Intermediate Level
11–D: Integrating Early Childhood Data in South Carolina: A Journey in Data Governance
Myrelo
King, SC Early Childhood Advisory Council
Chelsea
Richard, South Carolina Early Childhood Advisory Council
Adriana
Vidal, SC Department of Education
Founded in 2021, the South Carolina Early Childhood Integrated Data System (SCECIDS)'s mission is to establish and maintain a comprehensive infrastructure for integrated, accurate, and actionable data to support children, families, and communities. This presentation will focus on the enabling conditions, lessons learned, and successes of SCECIDS' data governance framework. SCECIDS has two initiatives that integrate data across 28+ early childhood programs housed within 20+ state agencies and local entities, one of which integrates early childhood data directly into the state's SLDS. Attendees will learn about the latest trends and challenges in data governance and leave with actionable insights.
Topic: Other
Complexity: Intermediate Level
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11–E: Data Quality Through Visual Analytics
Jennifer
Davies, National Center for Education Statistics
Samantha
Lewis, National Center for Education Statistics
This presentation will be an overview of a data quality dashboard, utilizing public data to illustrate the benefits of visually identifying data points of interest. These visualizations can be used for data quality oversight, process improvements, and grants management. The presentation will show how looking at the data from various angles will write a full story of how the Education Entity's data has trended over a period of time and drilling from State to District. For this presentation, SAS Viya will be used to manage the data and create the visualizations.
Topic: Data Quality
Complexity: Entry Level
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11–F: Managing NSC StudentTracker Data
John Sabel, Washington State Education Research and Data Center
StudentTracker reports from the National Student Clearinghouse Research Center provides student-level college enrollment and completion data from throughout the United States. Critically, these include data from private and out-of-state institutions, data that would otherwise be difficult or impossible to access. Over time, submitting multiple requests to NSC and the resulting reports that are returned can result in a multitude of overlapping sets of post-secondary enrollment data that can be difficult to manage. This presentation shows how the Washington State Education Research Center collects and manages these multiple requests and report files into a cohesive NSC data collection.
Topic: Data Linking Beyond K-12
Complexity: Intermediate Level
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11–G: The Time is Now: People Need Access to Data
Rachel Anderson, Data Quality Campaign (DQC)
Ross Goldstein, Maryland Longitudinal Data System Center
Ryan Estrellado, California Office of Cradle-to-Career Data
States have a historic opportunity to innovate and reimagine their SLDS to meet people's current data access needs. To meet people's needs, states must revolutionize how they think about their role in delivering information to people at all levels. In this session, the Data Quality Campaign (DQC) will provide four use cases that illustrate the impact of data access at key transition points. DQC will be joined by California and Maryland who will demonstrate what these use cases look like in action. Attendees will walk away with inspiration and next steps for their own state.
Topic: SLDS
Complexity: Entry Level
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11–H: Advancing Privacy Practices and Innovative Uses of Sensitive Education Data
Stephanie
Straus, Massive Data Institute, Georgetown University
Matthew
Hastings, Nebraska Statewide Workforce and Educational Reporting System
Kristin
Yates, Nebraska Department of Education
As data science advanced over the last decades, bad actors have also increased their ability to breach data security. Education data system owners have had to innovate their data infrastructure to keep up with the latest privacy risks, while meeting the demand for increased evidence-based practices. Data privacy expert Stephanie Straus from the Massive Data Institute will outline current privacy technologies used in education settings that solve this conundrum, and Nebraska Department of Education's CIO Kristin Yates and Nebraska Statewide Workforce and Educational Reporting System's Matt Hastings will discuss the advanced data privacy and governance techniques they are using to improve their students' outcomes today.
Topic: Data Privacy
Complexity: Entry Level
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11–J: Confirming Data Quality on the Road to Quality EDFacts File Submissions
Duane
Brown, AEM Corporation/CEDS
Fawn Dunbar, State of Michigan/CEPI
The Common Education Data Standards (CEDS) EDFacts Work Group released Connections that coordinators should use with program offices to confirm and improve data quality of file submissions. Hear from a state EDFacts coordinator from the work group on how their state is leveraging the Connections and how you can, too. All drivers on the data highway can use these new Connections!
Topic: Data Standards
Complexity: Entry Level
11–K: We Have Live Ed-Fi Data, Now What? South Carolina Department of Education's Approach to Data Privacy and Quality
Daniel
Ralyea, South Carolina Department of Education
Jordan Mader, Education Analytics
South Carolina Department of Education (SCDE) has implemented Ed-Fi, giving districts and the state access to timely data from multiple systems in a standard format. However, challenges arise from the newfound ability to report live data while ensuring data quality. Privacy concerns also emerge as more records become available–how should states and districts handle requests for data that they now have an ability to retrieve? Maintaining privacy for de-identified records also becomes more challenging as the number of data points increase. In this session, SCDE and Education Analytics will discuss strategies we are testing to solve these issues.
Topic: Data Privacy
Complexity: Intermediate Level
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