How It Works
Why P20 WIN?
Anonymous & Secure
P20 WIN securely links data between education, workforce and supportive service agencies in the state to inform policy and practice.
P20 WIN is not a data warehouse. Each participating agency retains control and management of its own data. This provides greater data security and lower operational cost, while the network provides the legal framework for linking and matching data to satisfy approved data requests. By managing their own source data, participating agencies can provide greater security, and leverage internal resources to improve quality.
How Data are Shared
Enterprise Memoranda of Understanding (Enterprise MOU)
To participate in P20 WIN, agencies leadership executed an Enterprise MOU that establishes a data governance framework, guidelines for data sharing, and technical and security requirements for participation. A Data Sharing Agreement is attached to specific data requests to allow for secure linkage of education, employment, early childhood, child welfare, homelessness, and social services data. In addition to completing the Enterprise MOU, a Data Governance Manual outlines the technical details for ongoing cross-agency collaboration and decision making.
The legacy agreements for agencies participating in P20 WIN can be found on the Resources page.
Process for Data Management
The Data Sharing Agreements outline a process for data management. Researchers may submit an application to become an authorized representative in order to to conduct an audit or evaluation of publicly-funded education programs. If the request is approved by the members of the P20 WIN Data Governing Board, an MOA specific to that data request will be executed, and the approved authorized representative will be able to receive matched data in order to conduct the approved audit or evaluation. The authorized representative and other designated individuals from the authorized representative's agency, who have signed Personal Statements of Non-Disclosure, will be able to work with the data to produce a report that is sufficiently aggregated for public disclosure. Once a final report has been approved by the Data Governing Board as being sufficiently aggregated to comply with privacy statutes, the aggregated results and accompanying reports may be made public.
P20 WIN has a federated architecture. Federated data systems have a decentralized structure which allows each agency to retain administrative authority over their data. The P20 WIN federated model provides a high degree of data security for data because the system is exclusive to the participating agencies and because the data matching and data analysis processes are completed separately.
P20 WIN Data Dictionary
The P20 WIN data dictionary contains data elements that are typically utilized in P20 WIN data requests. Additional data elements may be requested if necessary for a specific audit or evaluation. Participating Agencies from whom the data are requested will determine if the additional data elements are available and whether they may be utilized.
Access the P20 WIN Data Dictionary.