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Data Detox: Building a Culture of Clean Data and Good Habits in Education

Join Jay Schupp, Project Manager at EUPISD, as he outlines the essential goals for developing good data habits and establishing a solid data culture at the 2011 DataDirector User Conference. Participants will learn about core data requirements, data validation, and how to rectify data errors at the source. Discover the importance of clean data and common data standards, and review critical resources for importing and exporting educational data. This session equips educators and administrators with the tools to ensure the integrity of their data systems.

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Data Detox: Building a Culture of Clean Data and Good Habits in Education

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  1. 2011 DataDirector User Conference“Data Detox” Jay Schupp, REDI Project Manager EUPISD

  2. Welcome • Goals • Develop good data habits • Establish data culture • Where to go for help • Review “Processing your core data” handout

  3. Data Requirements • 4 core files • Demographics, Roster, User, Course • How data is imported • How data is related • Longitudinal data explained • What other data can be imported • MEAP, MME, ACT Plan/Export, etc. • Regional assessments, STAR, Dibels, Dibels Next, ASVAB……………endless!

  4. Relational Data Demographics File (implants record) StudentID (UIC) Fname Lname Gender …….. Roster File (activates record) StudentID (UIC) Teacher File PIC/TeacherID PIC/TeacherID CourseID Fname School Lname Grade Email Term …….. Period Course File CourseID Course Lname Course Sname

  5. Data Validation •  Exporting data from Student Systems •  Review DataDirector import files • what to look for • Refer to “Processing your core data” • How to fix data errors • Fix data at the source • Data dictionary. Field mapping from student information systems to 4 core files

  6. Data Dictionary - Mapping Demographics mapping example

  7. Data Validation • “Data Detox” teams  • Developing good data “habits” • Incorporate common data standards • commondatastandards.org • Garbage in = Garbage out   • What is clean data and why is it necessary

  8. Bad Data - Examples

  9. “Fixing” Data • Correct data at the source (Student System) • Setup translations in your DataDirector site

  10. State Reporting (TSDL) • Teacher PIC (change for SIS/Local ID) • Course ID • http://mi.gov/cepi/0,1607,7-113-986_50502_57560---,00.html • http://nces.ed.gov/pubs2007/2007341.pdf

  11. Teacher PIC • Available from CEPI REP site • http://michigan.gov/cepi/0,1607,7-113-986_10478---,00.html • Available now in PowerSchool and Skyward

  12. Wrap Up • Reporting to multiple State systems • TSDL, MSDS, Count Day, ??? • Requires clean data • Question and Answer • Thank you

  13. Contact Information Jay Schupp REDI Grant Project Director/Network Systems Engineer EUPISD (906) 632-3373 x127 (office) (906) 440-2296 (cell) jschupp@eup.k12.mi.us http://www.eup.k12.mi.us/redi

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