A Free sample background from Slide 1 NYS PLAN FOR DATA DATA FOR ACCOUNTABILITY DATA FOR INSTRUCTIONAL SUPPORT

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A Free sample background from Slide 4 Data in a typical school Student Information System Special Ed. System Scores on State Assessments LEAP Data Scores on NRT Transportation System Cafeteria System Discipline System

A Free sample background from Slide 5 Characteristics of Data in a typical school Data is disparate – that is it is contained in multiple systems, often with duplicate data in different forms Data is disparate – that is it is contained in multiple systems, often with duplicate data in different forms Data is not standardized across districts and often even within a building Data is not standardized across districts and often even within a building Data tends to be annual not longitudinal Data tends to be annual not longitudinal Awareness of “data issues” is limited Awareness of “data issues” is limited Generally, there is no one person responsible for data Generally, there is no one person responsible for data

A Free sample background from Slide 6 NCLB ???

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A Free sample background from Slide 8 A Plan for NYS Deploy a Universal ID system for all students in the state Deploy a Universal ID system for all students in the state Establish a statewide data repository of a “core” set of data elements for all students. Establish a statewide data repository of a “core” set of data elements for all students. Use this core set of data elements to accomplish compliance reporting for NCLB, and for providing information for instructional decision making. Use this core set of data elements to accomplish compliance reporting for NCLB, and for providing information for instructional decision making. Create a “Virtual Learning Space” connecting data, professional development, and instructional support. Create a “Virtual Learning Space” connecting data, professional development, and instructional support.

A Free sample background from Slide 9 School District Data Warehouse Decision Support System and VLS SED State Data Repository Universal Student ID

A Free sample background from Slide 10 Status of Universal ID State has adopted “Choice Maker” as its software for this project. State has adopted “Choice Maker” as its software for this project. Project team is currently testing Choice Maker against sample data. Project team is currently testing Choice Maker against sample data. Project team will create three primary interfaces to ID system: Project team will create three primary interfaces to ID system: –System to System Interface –Web Interface –Resolutions of near matches interface System should be operational by 4/1/04 System should be operational by 4/1/04 Available for district use ’04-’05 Available for district use ’04-’05

A Free sample background from Slide 11 Status of State Repository State has chosen the same data warehouse platform currently used by the RICs in their data warehouse service. State has chosen the same data warehouse platform currently used by the RICs in their data warehouse service. Currently in negotiations with the vendor and has received approval from State Office of the Comptroller. Currently in negotiations with the vendor and has received approval from State Office of the Comptroller. Initially this would replace LEAP and STEP, then over time incorporate other reporting requirements. Initially this would replace LEAP and STEP, then over time incorporate other reporting requirements.

A Free sample background from Slide 12 Status of Decision Support and VLS Network of decision support professionals has been created. Network of decision support professionals has been created. Core set of reports is being created. Core set of reports is being created. Beta version of VLS is operational. Beta version of VLS is operational.

A Free sample background from Slide 13 Data and Reports to Improve Instruction Accountability is NYSED’s first objective, but not our only one Accountability is NYSED’s first objective, but not our only one “Core Reports” built on the statewide warehouse “Core Reports” built on the statewide warehouse Build on core reporting efforts of regional warehouses and other efforts statewide Build on core reporting efforts of regional warehouses and other efforts statewide Equity of access and use of data is paramount goal Equity of access and use of data is paramount goal

A Free sample background from Slide 14 Student Detail Assessment Student Detail Assessment Item Analysis Item Analysis Benchmark Benchmark Academic Intervention Services Academic Intervention Services Assessment Comparison Assessment Comparison NCLB NCLB The Standard Reports

A Free sample background from Slide 15 Student IDStatewide StandardsData Readiness Statewide Data Repository Core Reports Instructional Resources Components of the NYS Plan

A Free sample background from Slide 16 School District Data Warehouse Decision Support System and VLS SED State Data Repository Universal Student ID

A Free sample background from Slide 17 How to prepare Consider appointing a “Data Administrator” – a quasi CIO – at least raise responsibility for data issues to an executive level Consider appointing a “Data Administrator” – a quasi CIO – at least raise responsibility for data issues to an executive level Participate in the “Data Readiness Protocol” Participate in the “Data Readiness Protocol”

A Free sample background from Slide 18 THE DATA READINESS PROTOCOL LeadershipSystemsData

A Free sample background from Slide 19 Leadership Activities Awareness Sessions for school executives focusing on: Awareness Sessions for school executives focusing on: –Regulatory changes –General systems issues –General data issues Data Administrator Training Data Administrator Training – Skill transfer to person in district taking responsibility for all data decisions –Focuses on details of regulatory change, systems issues, and data issues.

A Free sample background from Slide 20 Systems and Data Audit Objective: To analyze the manner in which a district collects, maintains, disseminates, and utilizes data. Objective: To analyze the manner in which a district collects, maintains, disseminates, and utilizes data. Audit takes place in two phases: Audit takes place in two phases: –High level phase: looks at district policies, procedures, staffing, and other “district controlled” issues relating to systems and data –Detail level phase: analyzes data readiness by creating a “data map” of key data elements. Audit results in recommendations that will bring district into a state of “data readiness”. Audit results in recommendations that will bring district into a state of “data readiness”.

A Free sample background from Slide 21 Some High Level Issues How are systems managed? Centrally or Distributed? How are systems managed? Centrally or Distributed? How are data entry standards established? How are data entry standards established? –By the district? –By the system? –By the entry clerk? –By no one? –Are they consistent across the district or vary by building?

A Free sample background from Slide 22 Some “High Level” Issues Are there standard values for data fields that can be standardized? Are there standard values for data fields that can be standardized? Are there conventions for fields that cannot be standardized? Are there conventions for fields that cannot be standardized?

A Free sample background from Slide 23 Some High Level Issues Is there a consistent districtwide student id? Is there a consistent districtwide student id? Is the id auto-generated by each system, or can it be assigned by the district? Is the id auto-generated by each system, or can it be assigned by the district? Does the student ID change from year to year and building to building? Does the student ID change from year to year and building to building? If a student leaves the district, then returns, is he/she assigned the former ID? If a student leaves the district, then returns, is he/she assigned the former ID? Is that same ID used for “non-systems” functions, such as assessment? Is that same ID used for “non-systems” functions, such as assessment?

A Free sample background from Slide 24 Detail Level Phase Conduct Data Mapping Activity Conduct Data Mapping Activity Each known data element needed for required reporting is mapped. Each known data element needed for required reporting is mapped. Here is a sample of some of the mapping protocol Here is a sample of some of the mapping protocol

A Free sample background from Slide 25 Sample of Data Map Protocol What is the original source of capturing this specific piece of data? What is the original source of capturing this specific piece of data? Who is responsible for collecting this information? Who is responsible for collecting this information? What system (if any) is used to store this information? What system (if any) is used to store this information? What is the range of values this data is permitted to have? What policies are in place to assure the data is not “out of range”? What is the range of values this data is permitted to have? What policies are in place to assure the data is not “out of range”? Is this piece of data dependent upon some other entry or action for its accuracy? Is this piece of data dependent upon some other entry or action for its accuracy? Can this piece of data easily be exported from the system containing it and be combined with data from other systems? Can this piece of data easily be exported from the system containing it and be combined with data from other systems?

A Free sample background from Slide 26 Detail Level Phase With Data Map in place, problems are identified and recommendations for resolution are made. With Data Map in place, problems are identified and recommendations for resolution are made. After problem resolution, a sample data extract is created using the data elements that will be required for state reporting and done in the state specified format. After problem resolution, a sample data extract is created using the data elements that will be required for state reporting and done in the state specified format.

A Free sample background from Slide 27 In summary… State will deploy universal student id in Spring ’04 State will deploy universal student id in Spring ’04 State will change the method of required data collection for LEAP and STEP perhaps as early as Spring ’06 State will change the method of required data collection for LEAP and STEP perhaps as early as Spring ’06 Districts can prepare now using the Data Readiness Protocol – should be available through the LHRIC in Spring ‘04 Districts can prepare now using the Data Readiness Protocol – should be available through the LHRIC in Spring ‘04