Data governance can be defined as both an organizational process and a structure; it establishes responsibility for data, organizing program area staff to collaboratively and continuously improve data quality through the systematic creation and enforcement of policies, roles, responsibilities, and procedures. As a structure, clear and specific roles and responsibilities are assigned and staff are held accountable for the quality of the data they manage. Ultimately though, data governance is not about who is in charge: it is about identifying existing or potential data problems and fixing them to prevent them from happening or recurring. As a continuous and iterative process, data governance is a systematic way of handling data throughout the information life cycle, from definition to retirement.
The P20 WIN Data Governance Manual details the structure, processes, roles and responsibilities that define its governance. This manual expands on the previous P20 WIN Data Governance Policy, which empowered the P20 WIN Data Governing Board to develop more detailed standards and processes for data management. This is a living document, and will be updated as agency and state priorities evolve. If a new policy is created or an existing policy changed, the Manual will be updated to include a copy of the new policy for reference.
Connecticut developed P20 WIN so that multiple, interagency datasets could be linked securely and simultaneously to create longitudinal views of student experiences into the workforce. Since 2014, the P20Win system has produced interagency data linkages for over twenty projects.
The following list delineates key goals and deliverables for P20 WIN:
In order to successfully coordinate and secure authorized access to data through P20 WIN within state and federal laws and regulations, documents and processes have been developed and approved by participants to the system.