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State Longitudinal Data Systems: Worth the Legislative Investment to Connect Workforce and Education

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Title: State Longitudinal Data Systems: Worth the Legislative Investment to Connect Workforce and Education
Authors: Anne Wicks, Amanda Wirtz, George W. Bush Presidential Center, George W. Bush Institute
Source: George W. Bush Institute. 2024.
Availability: George W. Bush Institute. 2943 SMU Boulevard, Dallas, TX 75205. Tel: 214-200-4300; e-mail: educationreform@bushcenter.org; Web site: https://www.bushcenter.org/topics/education
Peer Reviewed: N
Page Count: 6
Publication Date: 2024
Intended Audience: Policymakers
Document Type: Reports - Evaluative
Education Level: Higher Education
Postsecondary Education
Early Childhood Education
Elementary Education
Kindergarten
Primary Education
Elementary Secondary Education
Descriptors: State Legislation, Data Analysis, Learning Analytics, Information Systems, Labor Force, Higher Education, Kindergarten, Elementary Secondary Education, Early Childhood Education, Decision Making, Access to Education, Equal Education, Educational Policy, Governance, Education Work Relationship, Data Use, Access to Information, Information Policy, Information Utilization, Usability, Longitudinal Studies, Statistical Data, State Policy
Abstract: Determining whether a state's young people are on track for a life of opportunity is a difficult task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and early childhood outcome data from multiple state agencies over time are foundational to strong decision-making by state leaders. State leaders are charged with determining how to advance educational and workforce opportunities, particularly for historically underserved populations, including rural students, students living in poverty, English-language learners, and students of color. Policymakers need reliable, relevant, and transparent data from PK-12 to the workforce to inform decisions and allocate resources. Researchers need access to data to assess current conditions and to identify possible solutions. Finally, the public -- including parents -- needs easily accessible, user-friendly information about readiness and opportunity for young people in the state. Well-governed and well-structured state longitudinal data systems can help. Today, most states have disparate data systems that are functionally siloed off by education level, like early childhood or K-12 or higher education. Meaningfully connected and well-governed data systems make it easier to see the relationships between metrics like early-grade reading scores, high school graduation, and wage data. Disaggregated outcome data about the youngest learners up to young adults provide invaluable insights to policymakers, researchers, and parents. This report examines how state leaders should prioritize state longitudinal data systems in legislation and policymaking.
Abstractor: ERIC
Entry Date: 2024
Accession Number: ED643797
Database: ERIC
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  Data: State Longitudinal Data Systems: Worth the Legislative Investment to Connect Workforce and Education
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  Data: <searchLink fieldCode="AR" term="%22Anne+Wicks%22">Anne Wicks</searchLink><br /><searchLink fieldCode="AR" term="%22Amanda+Wirtz%22">Amanda Wirtz</searchLink><br /><searchLink fieldCode="AR" term="%22George+W%2E+Bush+Presidential+Center%2C+George+W%2E+Bush+Institute%22">George W. Bush Presidential Center, George W. Bush Institute</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22George+W%2E+Bush+Institute%22"><i>George W. Bush Institute</i></searchLink>. 2024.
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  Data: George W. Bush Institute. 2943 SMU Boulevard, Dallas, TX 75205. Tel: 214-200-4300; e-mail: educationreform@bushcenter.org; Web site: https://www.bushcenter.org/topics/education
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  Data: 6
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  Data: 2024
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  Label: Intended Audience
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  Data: Policymakers
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  Data: Reports - Evaluative
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  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Early+Childhood+Education%22">Early Childhood Education</searchLink><br /><searchLink fieldCode="EL" term="%22Elementary+Education%22">Elementary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Kindergarten%22">Kindergarten</searchLink><br /><searchLink fieldCode="EL" term="%22Primary+Education%22">Primary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Elementary+Secondary+Education%22">Elementary Secondary Education</searchLink>
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  Label: Descriptors
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  Data: <searchLink fieldCode="DE" term="%22State+Legislation%22">State Legislation</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Analysis%22">Data Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Analytics%22">Learning Analytics</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Systems%22">Information Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Labor+Force%22">Labor Force</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Kindergarten%22">Kindergarten</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+Secondary+Education%22">Elementary Secondary Education</searchLink><br /><searchLink fieldCode="DE" term="%22Early+Childhood+Education%22">Early Childhood Education</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+Making%22">Decision Making</searchLink><br /><searchLink fieldCode="DE" term="%22Access+to+Education%22">Access to Education</searchLink><br /><searchLink fieldCode="DE" term="%22Equal+Education%22">Equal Education</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Policy%22">Educational Policy</searchLink><br /><searchLink fieldCode="DE" term="%22Governance%22">Governance</searchLink><br /><searchLink fieldCode="DE" term="%22Education+Work+Relationship%22">Education Work Relationship</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Use%22">Data Use</searchLink><br /><searchLink fieldCode="DE" term="%22Access+to+Information%22">Access to Information</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Policy%22">Information Policy</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Utilization%22">Information Utilization</searchLink><br /><searchLink fieldCode="DE" term="%22Usability%22">Usability</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+Studies%22">Longitudinal Studies</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Data%22">Statistical Data</searchLink><br /><searchLink fieldCode="DE" term="%22State+Policy%22">State Policy</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Determining whether a state's young people are on track for a life of opportunity is a difficult task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and early childhood outcome data from multiple state agencies over time are foundational to strong decision-making by state leaders. State leaders are charged with determining how to advance educational and workforce opportunities, particularly for historically underserved populations, including rural students, students living in poverty, English-language learners, and students of color. Policymakers need reliable, relevant, and transparent data from PK-12 to the workforce to inform decisions and allocate resources. Researchers need access to data to assess current conditions and to identify possible solutions. Finally, the public -- including parents -- needs easily accessible, user-friendly information about readiness and opportunity for young people in the state. Well-governed and well-structured state longitudinal data systems can help. Today, most states have disparate data systems that are functionally siloed off by education level, like early childhood or K-12 or higher education. Meaningfully connected and well-governed data systems make it easier to see the relationships between metrics like early-grade reading scores, high school graduation, and wage data. Disaggregated outcome data about the youngest learners up to young adults provide invaluable insights to policymakers, researchers, and parents. This report examines how state leaders should prioritize state longitudinal data systems in legislation and policymaking.
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  Data: ED643797
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED643797
RecordInfo BibRecord:
  BibEntity:
    PhysicalDescription:
      Pagination:
        PageCount: 6
    Subjects:
      – SubjectFull: State Legislation
        Type: general
      – SubjectFull: Data Analysis
        Type: general
      – SubjectFull: Learning Analytics
        Type: general
      – SubjectFull: Information Systems
        Type: general
      – SubjectFull: Labor Force
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Kindergarten
        Type: general
      – SubjectFull: Elementary Secondary Education
        Type: general
      – SubjectFull: Early Childhood Education
        Type: general
      – SubjectFull: Decision Making
        Type: general
      – SubjectFull: Access to Education
        Type: general
      – SubjectFull: Equal Education
        Type: general
      – SubjectFull: Educational Policy
        Type: general
      – SubjectFull: Governance
        Type: general
      – SubjectFull: Education Work Relationship
        Type: general
      – SubjectFull: Data Use
        Type: general
      – SubjectFull: Access to Information
        Type: general
      – SubjectFull: Information Policy
        Type: general
      – SubjectFull: Information Utilization
        Type: general
      – SubjectFull: Usability
        Type: general
      – SubjectFull: Longitudinal Studies
        Type: general
      – SubjectFull: Statistical Data
        Type: general
      – SubjectFull: State Policy
        Type: general
    Titles:
      – TitleFull: State Longitudinal Data Systems: Worth the Legislative Investment to Connect Workforce and Education
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            NameFull: Anne Wicks
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            NameFull: Amanda Wirtz
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              M: 02
              Type: published
              Y: 2024
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