2011 DataDirector User Conference“Data Detox”

Jay Schupp, REDI Project Manager EUPISD

Welcome

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

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!

Relational DataDemographics File (implants record)StudentID (UIC)FnameLnameGender…….. Roster File (activates record)

StudentID (UIC)Teacher File PIC/TeacherIDPIC/TeacherID CourseIDFname SchoolLname GradeEmail Term…….. Period

Course FileCourseIDCourse LnameCourse Sname

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

Data Dictionary - Mapping

PS/DD Field Name PS/SRSD FieldName (Students Table) SRSD Field Number, Position Description

UIC MI_SRSD_StudentUIC (SRSD Field 124, 871–880) Student Unique Identification Code

SIS_ID ID

grade Grade_Level

lastname Last_Name (SRSD Field 6, 020–044) Name (Last, First, MI)

firstname First_Name (SRSD Field 7, 045–059) Name (Last, First, MI)

middlename Middle_Name (SRSD Field 8, 060) Name (Last, First, MI) SRSD uses MI

address Mailing_Street (SRSD Field 13, 102–121) Street Address

city Mailing_City (SRSD Field 14, 122–141) City

state Mailing_State

zip Mailing_Zip (SRSD Field 15, 142–151) Zip Code

phone home_phone

State_SchoolNumber MI_SRSD_AdminUnit (SRSD Field 5, 015–019) School or Facility

Building_Description Building

gender Gender (SRSD Field 11, 081) Gender Code

Demographics mapping example

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

Bad Data - Examples

“Fixing” Data

1. Correct data at the source (Student System)2. Setup translations in your DataDirector site

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

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

Wrap Up

• Reporting to multiple State systems– TSDL, MSDS, Count Day, ???– Requires clean data

• Question and Answer• Thank you

Contact Information

Jay SchuppREDI Grant Project Director/Network Systems EngineerEUPISD(906) 632-3373 x127 (office)(906) 440-2296 (cell)jschupp@eup.k12.mi.ushttp://www.eup.k12.mi.us/redi