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CNYRIC Data Warehouse Initiative New Data Administrator Training October 30, 2012. Grounding. Name, district, role, & work location My verification team Hopes & expectations A burning question I have regarding data coordination & verification. Goals/Outcomes.
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CNYRIC Data Warehouse Initiative New Data Administrator Training October 30, 2012
Grounding • Name, district, role, & work location • My verification team • Hopes & expectations • A burning question I have regarding data coordination & verification
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
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
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.
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
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
Understanding SIRS • . • Record your highlighted word, phrase, and sentence on a separate Post-It.
nySTART Location Codes Cognos Reports/Cubes Templates: Currently 19 Student Demographic Student Enrollment Program Facts/Services Assessment Fact Source Systems Refresh Cycles/Data Loading New Terminology • Level 0/Toolkit • Level 1 • Level 1C (container) • Level 2 • Level 3 • NYSSIS • eScholar • PD – VR reports
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/ • Templates: http://www.p12.nysed.gov/irs/vendors/templates.html • http://www.cnyric.org/teacherpage.cfm?teacher=748
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
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 • Capabilities for staff to update/change validation tables • Documenting all processes and procedures for current and future staff • Communicate data standards across departments
Overview of the Different Levels of the Data Warehouse Project
State Educ. Dept. Statewide Repository –Level 2 How schools report data? NYS School Report Cards Federal Reports nySTART PD System Portal COGNOS Level 2 reports COGNOS Level One Regional Data Warehouse –Level 1 Level 0 Food Service Package Student Management System Special Education System/ Intervention Tracking System
District 1 District 2 District 3 District 1 District 2 State-wide Reports Service District 3 New York State eScholar Data Warehouses Regional Data Warehouses Level 1 NERIC SCT Broome MORIC CNYRIC MHRIC State-wide Data Warehouse Yonkers Monroe LHRIC WFL Level 2 Nassau Rochester Suffolk WNYRIC Buffalo Syracuse SED Data Repository NYC Level 3
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
Regional Data Warehouse (Level 1) State ID District SMS Student ID Data Set NYSSIS Near Match Resolution
Word Splash Graduation Cohort Fall Snapshot Participation Rate College and Career Readiness NYSESLAT Accountability Subgroups Performance Index SIRS Effective AMO AYP PD Reports AMO COGNOS Value-Added NYSAA Data Warehouse Differentiated Accountability Continuous Enrollment BEDS Safe Harbor AVR Accountability Cohort NYSSIS Growth Model
Jargon – Lingo- Requirements • Source Systems • Location Codes • BEDS Codes • Templates • Refreshes • Program Facts/Services • Data Source Matrix • TSDL • APPR
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?
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
RIC Areas of Involvement • Data Readiness • Data Loading • Data Exchange • Data Analysis
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.
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
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
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
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
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
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
Data DomainsData Groupings (clusters, marts) • Student Demographics • School Enrollment • Program Fact • Assessment Facts • Assessment Item Response • Special Education • Student Daily Attendance • Course – Student/Instructor • Staff • Discipline • Transportation • Food Service • Extracurricular Involvement • Budgets and Spending
Demographic File - Student Lite • 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 • 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
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.
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).
“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.)
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
Lori DeForest Supervisor, Data Analysis Services ldeforest@cnyric.org (315) 433-2247 Contact Information Donald DeJohn, Ph.D. Project Manager, Data Warehouse Ddejohn@cnyric.org (315) 433-2217