1. CNYRIC Data Warehouse Initiative New Data Administrator Training October 30, 2012

2. Grounding ● Name, district, role, & work location ● My verification team ● Hopes & expectations ● A burning question I have regarding data coordination & verification

3. Goals/Outcomes ● Gain an understanding of the Data Warehouse and SIRS and the NYS reporting process in schools ● Discuss roles and responsibilities of the District Data Coordinator ● Consider key personnel responsible for data reporting ● Discuss roles and purpose of a data verification team

4. Goals/Outcomes ● Review District Data Coordinator calendar & SED timelines ● Discuss key strategies & processes in verifying data ● Focus on fall verification & receive assistance in reviewing data accuracy

5. What is a Data Warehouse? A data warehouse is a storage facility or repository that maintains large quantities of data that would typically reside in a number of disparate locations.

6. What are the benefits of a data warehouse? Warehouses include a variety of historical information, including demographic, enrollment, program service, and assessment data, to name a few They allow for the merging of data sets and data sources that are otherwise difficult to combine or compare

7. DW Benefits Continued Faster and more accurate reporting Improved ability to disaggregate data Conduct longitudinal analysis of students, teachers, and programs Compare different performance indicators

8. Understanding SIRS. Record your highlighted word, phrase, and sentence on a separate Post-It.

9. New Terminology ● Level 0/Toolkit ● Level 1 ● Level 1C (container) ● Level 2 ● Level 3 ● NYSSIS ● eScholar ● PD – VR reports ● nySTART ● Location Codes ● Cognos Reports/Cubes ● Templates: Currently 19 – Student Demographic – Student Enrollment – Program Facts/Services – Assessment Fact ● Source Systems ● Refresh Cycles/Data Loading

10. Important DW Reference Materials ● SED Data Dictionary of Reporting Elements ● Course Catalog - http://www.p12.nysed.gov/irs/courseCatalog/home.html ● http://www.p12.nysed.gov/irs/ http://www.p12.nysed.gov/irs/ ● Templates: http://www.p12.nysed.gov/irs/vendors/templates.html http://www.cnyric.org/teacherpage.cfm?teacher=748

11. What is a data administrator and what should they be doing? ● The data administrator may be a district level Administrator or another district employee designated by the superintendent. ● Data administrators are responsible for implementing accurate reporting of individual student data. – Assemble a team of district personnel ● Technical expertise in the district’s management system(s) and infrastructure ● Working knowledge of the district’s management systems ● In-depth knowledge of the district’s registration materials and processes ● Data analysis experience ● Instructional background

12. Data Admin role continued – Define and document data collection standards ● When defining and documenting data collection standards, the following must be considered: ● Department configurations and staff responsibilities ● Consistency across departments and functions – Review management systems for alignment to standards ● When reviewing the management systems, consider the following: ● Flexibility of the system in terms of adding fields or screens ● Capabilities for staff to update/change validation tables ● Documenting all processes and procedures for current and future staff ­ Communicate data standards across departments

13. Overview of the Different Levels of the Data Warehouse Project

14. Special Education System/ Intervention Tracking System Regional Data Warehouse – Level 1 Statewide Repository – Level 2 State Educ. Dept. Food Service Package Student Management System COGNOS Level One nySTART PD System Portal COGNOS Level 2 reports NYS School Report Cards Federal Reports Level 0 How schools report data?

15. New York State eScholar Data Warehouses Buffalo WNYRIC Rochester WFL Monroe Syracuse CNYRICMORIC Suffolk Nassau LHRIC Yonkers MHRIC NERICBroomeSCT State-wide Data Warehouse SED Data Repository Level 2 Level 3 State-wide Reports Service Regional Data Warehouses Level 1 District 3 District 2 District 1 District 3 District 2 District 1 NYC

16. NYS Unique ID System (NYSSIS) Relies on a standard “student identification data set” Data is submitted through regional student data warehouses and ID is returned to the warehouse Matching engine uses clues and rules to match students to existing ID Three choices: –Match –New ID –Near match Human review for less than 1% NYSED will not have access to any personally identifiable information

17. Student ID Data Set NYSSIS Near Match Resolution District SMS State ID Regional Data Warehouse (Level 1)

18. Word Splash Data Warehouse SIRS Fall Snapshot NYSSIS Continuous Enrollment Performance Index AYP AMO Effective AMO NYSAA Participation Rate Accountability Subgroups Safe Harbor PD Reports BEDS NYSESLAT Accountability Cohort AVR Graduation Cohort COGNOS Differentiated Accountability College and CareerReadiness

19. Jargon – Lingo- Requirements ● Source Systems ● Location Codes ● BEDS Codes ● Templates ● Refreshes ● Program Facts/Services ● Data Source Matrix ● TSDL ● APPR

20. Source Systems ● What kinds of data does your district collect? ● What student management systems are used in your school or district? ● Where are the data stored? ● Who has access to the data? ● How will you get it in the proper format required for the warehouse? ● How will you get the data to the warehouse? ● Do you store all the required data elements?

21. Location Codes ● What are they and why are they important? – Building code that uniquely identifies the building in which a student is enrolled. – Typically assigned by the local school student management system – All students need to be identified with a location code in the warehouse that is mapped to a location code in your student management system. – The location must be valid and in SEDREF

22. RIC Areas of Involvement Data ReadinessData Readiness Data Loading Data Loading Data Exchange Data Exchange Data Analysis Data Analysis

23. DATA READINESS Supporting/training the district data administrator Working with schools to make all changes in the source system or training them in the use of the Level 0 Toolkit Getting multiple systems to have the same data, student id, etc.

24. DATA LOADING Enables a district to load accurate data into available data domains from their data sources or from Level 0 Toolkit Includes the extraction, transformation, and loading of data Provides the necessary templates for load file requirements for the unique student ID and for state reporting requirements

25. DATA EXCHANGE Focuses on reducing paper and redundant reports Supports the exchange of data with the State-wide Data Warehouse and the Unique Student Identification System (NYSSIS) Includes standardized verification reports and the transmittal of data to the State-wide Data Repository

26. DATA ANALYSIS Enables a District to utilize their data for presentations, analysis, and reports in various environments and formats Access to Cognos Data Cubes, and tools such as ReportNet, DataMentor, and GrowNet

27. What is the Status of our Regional Data Warehouse We have all 50 districts participating in the regional data warehouse We also have 3 charter schools and over 43 non-public schools participating Our warehouse currently includes all ELA and Math assessment files for grades 3 - 8 from 1999 through 2012 as well as Science 4 and 8, and Regents exams

28. DW issues continued We currently have more than 130,000 student records in the warehouse. In addition to the demographic data, all 90 plus districts have uploaded their program service data, entry/exit data, staff, course, SSC, and assessment data All of our Districts currently have access to nySTART, Cognos PowerPlay, and the Level 0 toolkit

29. DW Status Continued All of our districts have assigned a data administrator to oversee the process for their district There are bi-monthly data administrator meetings held at the RIC to communicate the rules, requirements, timelines, processes, necessary for data readiness, cleaning, and loading

30. What’s Next?

31. Data Domains Data Groupings (clusters, marts) Student DemographicsStudent Demographics School EnrollmentSchool Enrollment Program FactProgram Fact Assessment FactsAssessment Facts Assessment Item ResponseAssessment Item Response Special EducationSpecial Education Student Daily Attendance Student Daily Attendance Course – Student/Instructor Course – Student/Instructor Staff Staff Discipline Discipline Transportation Transportation Food Service Food Service Extracurricular Involvement Extracurricular Involvement Budgets and Spending Budgets and Spending

32. Demographic File - Student Lite DISTRICT CODE SCHOOL IDENTIFIER SCHOOL YEAR STUDENT ID LAST NAME FIRST NAME MIDDLE INITIAL CURRENT GRADE LEVEL HOME ROOM BIRTHDATE GENDER ETHNIC CODE HOME LANGUAGE DURATION OF LEP POST GRADUATE ACTIVITY STATUS LAST STATUS DATE DIPLOMA TYPE CODE DATE OF ENTRY GRADE 9 POLIO INOCULATION DATE ADDRESS ADDRESS LINE 2 CITY STATE ZIP CODE HOME PHONE GUARDIAN NAME GUARDIAN NAME 2 PLACE OF BIRTH

33. Student Enrollment ● Student enrollment looks at student enter and leave dates. ● It also looks at how students are coded when they enter and leave, such as, entering from a public school in NYS, or leaving to attend a non-public school.

34. Program Fact/Services ● These are facts about students ● They have a beginning date, and can have an ending date. ● Typical Program Facts would be Free and Reduced Lunch, LEP, Disability, Reading First, NCLB groups (Title One).

35. “Old habits die hard” At this point, the data warehouse is as much, if not more about culture change than it is about being a data repository It is forcing districts to look at their data, and their processes and procedures for collecting data in ways they never had in the past It is also forcing district personnel to be very accurate with coding, classifying, and enrolling students It has led to countless enrollment and accountability questions (I.e. homeschoolers, homebound, out of district, GED, ungraded (testing), etc.)

36. How will I get data from the warehouse? Each district will have users that will have access to reporting tools for the warehouse nySTART Cognos Level 1 and L2RPT

37. Level 0 Toolkit

38. ReportNet

40. Individual Student Report

41. Contact Information Donald DeJohn, Ph.D. Project Manager, Data Warehouse Ddejohn@cnyric.org (315) 433-2217 Lori DeForest Supervisor, Data Analysis Services ldeforest@cnyric.org (315) 433-2247

42. CNYRIC DW Website and Helpful Tools