Driver's License Data Can Help States Better Understand Education and Workforce Pathways. State Implementation Guide
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| Title: | Driver's License Data Can Help States Better Understand Education and Workforce Pathways. State Implementation Guide |
|---|---|
| Language: | English |
| Authors: | Data Quality Campaign (DQC), WestEd |
| Source: | Data Quality Campaign. 2025. |
| Availability: | Data Quality Campaign. 1250 H Street NW Suite 825, Washington, DC 20005. Tel: 202-393-4372; Fax: 202-393-3930; e-mail: info@dataqualitycampaign.org; Web site: http://www.dataqualitycampaign.org |
| Peer Reviewed: | N |
| Page Count: | 6 |
| Publication Date: | 2025 |
| Intended Audience: | Policymakers |
| Document Type: | Guides - General Reports - Descriptive |
| Descriptors: | Data Collection, Motor Vehicles, Certification, Education Work Relationship, State Programs, Accuracy, Privacy, Sharing Behavior, Data Use |
| Abstract: | Statewide longitudinal data systems (SLDSs) often rely on personal identifiers to securely link individual-level data across early childhood, K-12, higher education, and the workforce. However, different sectors use different types of personal identifiers which can make accurately connecting records difficult. Driver's license data offers a single verifiable record that can be used to fill gaps in other records and accurately connect data across sectors, enabling a state to resolve inconsistent data and improve matching and data quality within its SLDS. State leaders are then able to provide higher-quality education-to-workforce information and trend data that empower individuals to make informed decisions and select education and training opportunities that meet their educational, financial, and geographic needs. This brief from the Data Quality Campaign and Data Integration Support Center (DISC) at WestEd is intended to help state leaders understand the utility and risk of including driver's license data in their SLDS matching process and answers a number of related questions. [This brief was prepared with the Data Integration Support Center at WestEd.] |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | ED674733 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED674733 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: Driver's License Data Can Help States Better Understand Education and Workforce Pathways. State Implementation Guide – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Data+Quality+Campaign+%28DQC%29%22">Data Quality Campaign (DQC)</searchLink><br /><searchLink fieldCode="AR" term="%22WestEd%22">WestEd</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Data+Quality+Campaign%22"><i>Data Quality Campaign</i></searchLink>. 2025. – Name: Avail Label: Availability Group: Avail Data: Data Quality Campaign. 1250 H Street NW Suite 825, Washington, DC 20005. Tel: 202-393-4372; Fax: 202-393-3930; e-mail: info@dataqualitycampaign.org; Web site: http://www.dataqualitycampaign.org – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 6 – Name: DatePubCY Label: Publication Date Group: Date Data: 2025 – Name: Audience Label: Intended Audience Group: Audnce Data: Policymakers – Name: TypeDocument Label: Document Type Group: TypDoc Data: Guides - General<br />Reports - Descriptive – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Data+Collection%22">Data Collection</searchLink><br /><searchLink fieldCode="DE" term="%22Motor+Vehicles%22">Motor Vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Certification%22">Certification</searchLink><br /><searchLink fieldCode="DE" term="%22Education+Work+Relationship%22">Education Work Relationship</searchLink><br /><searchLink fieldCode="DE" term="%22State+Programs%22">State Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Accuracy%22">Accuracy</searchLink><br /><searchLink fieldCode="DE" term="%22Privacy%22">Privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Sharing+Behavior%22">Sharing Behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Use%22">Data Use</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Statewide longitudinal data systems (SLDSs) often rely on personal identifiers to securely link individual-level data across early childhood, K-12, higher education, and the workforce. However, different sectors use different types of personal identifiers which can make accurately connecting records difficult. Driver's license data offers a single verifiable record that can be used to fill gaps in other records and accurately connect data across sectors, enabling a state to resolve inconsistent data and improve matching and data quality within its SLDS. State leaders are then able to provide higher-quality education-to-workforce information and trend data that empower individuals to make informed decisions and select education and training opportunities that meet their educational, financial, and geographic needs. This brief from the Data Quality Campaign and Data Integration Support Center (DISC) at WestEd is intended to help state leaders understand the utility and risk of including driver's license data in their SLDS matching process and answers a number of related questions. [This brief was prepared with the Data Integration Support Center at WestEd.] – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2025 – Name: AN Label: Accession Number Group: ID Data: ED674733 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 6 Subjects: – SubjectFull: Data Collection Type: general – SubjectFull: Motor Vehicles Type: general – SubjectFull: Certification Type: general – SubjectFull: Education Work Relationship Type: general – SubjectFull: State Programs Type: general – SubjectFull: Accuracy Type: general – SubjectFull: Privacy Type: general – SubjectFull: Sharing Behavior Type: general – SubjectFull: Data Use Type: general Titles: – TitleFull: Driver's License Data Can Help States Better Understand Education and Workforce Pathways. State Implementation Guide Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Data Quality Campaign (DQC) – PersonEntity: Name: NameFull: WestEd IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Type: published Y: 2025 Titles: – TitleFull: Data Quality Campaign Type: main |
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