Turning Data Schools Have Into Data Schools Use

Our vision is to streamline the use of educational information statewide, through common data and common solutions allowing districts
to turn data you have into information you can use. 

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Who Benefits?

TEACHERS

Teachers know the routine: One app to track behavior and attendance. Another to plan lessons and manage student assignments.

SCHOOL DISTRICTS

School districts sit atop millions of data points. Now, district administrators, academic officers and superintendents can make fully-informed decisions

STUDENTS & PARENTS

Students, parents, school administrators and educators are empowered with a complete picture of student progress at their fingertips in real time.

 

 

STATE AGENCIES

State after state is adopting MiDataHub because it makes statewide reporting and data integration secure, simple, and affordable.

VENDORS

MiDataHub allows the biggest ed-tech providers down to the most cutting-edge startups to have a scalable entry point into the market.

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Fiscal Agent: Kalamazoo RESA

The Michigan Data Hub is a collaborative, statewide effort to address challenges in managing and using school data.  The work of this initiative has centered around creating an ecosystem where information is exchanged between the large number of disconnected data systems used by schools in the state based on pre-defined standards.  The initiative has leveraged the data standards developed by the Ed-Fi Alliance.  The results of this work include:

  • A network of 5 data hub hosting locations that securely host district data
  • A cockpit application that provides for easy data management
  • A quick and reliable way to connect data systems
  • A platform for common tools and dashboards
  • A data framework that emphasizes local control and stewardship of data
  • A  method to promote and sure data quality

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What are the Benefits?

  • Schools will spend far less time and money establishing and maintaining their own data bridging services. What used to be many programming chores of many hours each will become an implementation task to connect local systems to programming written by others.
  • Data quality can improve significantly. Every connector will include error checking with feedback to the data originator. Quality control measures can be focused on one source for each piece of data with the results of that propagated to other systems in a controlled, error-checked manner.

 

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Ready to Put Your Data To Work?