Title: Pennsylvania Department of Education
1Pennsylvania Department of Education
Pennsylvania Information Management System
(PIMS) Webinar Training
2Webinar Guidelines
- Please do not raise hands during the content
sections - Ask all questions via the messaging tool
- Remember.messaging is never private
- Log back into Elluminate and resume the webinar
if you get disconnected during this webinar or
are having connection problems
3Agenda
- Introductions Objectives
- PIMS Overview
- PIMS Overview
- Pilot and Statewide Rollout
- eScholar Template Overview
- eScholar Data Submission Overview
- Data Extraction
- Data Manager Overview
- Project Resources and Contacts
- Questions and Answers
4Introductions Objectives
PIMS Overview
eScholar Template Overview
eScholar Data Submission Overview
Project Resources and Contacts
Questions and Answers
5PIMS Training Objectives
- Provide general overview of PIMS project
- Provide overview of eScholar Templates used for
LEA data submission -
- Explain data requirements necessary to
successfully import information into the data
warehouse - Provide overview of general flow of data
submission process
6Introductions Objectives
PIMS Overview
eScholar Template Overview
eScholar Data Submission Overview
Project Resources and Contacts
Questions and Answers
7PIMS Pennsylvania Information Management System
-
- Designed as an educational data collection and
reporting model that builds upon the strengths of
respective public education partners represented
across state, LEA, and local levels - Highly flexible model that incorporates a two-way
flow of information aggregating necessary data
upward from respective schools and LEAs to the
state to comply with state and federal reporting
requirements and general systems management,
while providing disaggregated state data back
down from the state to LEAs and schools - PIMS will eventually replace a number of existing
systems currently used at PDE - A small number of LEAs will participate in a
pilot group
8Objectives of PIMS
- Improve education decision-making through the use
of high quality data and decision support tools - Provide longitudinal tracking of specific
individual and subgroup education progress over
time - Report timely and accurate education data through
standardized and ad hoc reporting capabilities - Meet the current PDE and federal reporting
requirements
9Benefits of PIMS
- Provides a web browser interface which allows
LEAs to submit data quicker and receive feedback
promptly to ensure data quality - Reduces the data submission burden on schools,
LEAs, and PDE staff - Provides automated system to process data from
LEAs to PIMS - Provides LEAs ability to view standard,
validation, and verification decision support
reports - Provides appropriate personnel secure access to
student information - Provides decision makers with robust data to base
decisions on educational initiatives - Provides a data model focused on the US
Department of Educations data standards and
compliant with the Schools Interoperability
Framework (SIF) standards
10Pilot Rollout
- A Pilot will be held this summer
- Pilot LEAs will submit a limited amount of data
approximately equivalent to the proposed fall
(October) data submission - A pilot will be held at the same time with LEAs
utilizing SIF to support the data submission
process - Pilot LEAs will
- Develop extraction routines, possibly working
with their SIS vendor - Provide feedback to PDE and project team
- Act as a resource for other LEAs during statewide
rollout
SIS Vendors
11Statewide Rollout
- The project team will provide PIMS training for
all LEAs prior to the initial data submission.
Specific dates and sessions are to be determined.
- Current plans are for initial data submissions in
Fall 2007 (October) for the 2007-2008 school
year.
12Introductions Objectives
PIMS Overview
eScholar Template Overview
eScholar Data Submission Overview
Project Resources and Contacts
Questions and Answers
13eScholar Template Concepts
- eScholar provides templates to define the
format required to load data into the warehouse - Each template maps to a separate table in the
warehouse - Enables any electronic data file to be a source
for the warehouse - Student Information System
- Excel Spreadsheet
- LEAs will submit approximately 15 templates in
the first year of the statewide rollout
14eScholar Template Concepts (cont)
- Template Package
- File specifications provided in an Excel workbook
format - Index Worksheet
- Table of Contents of template workbook
- Information Worksheet
- Explanation of template terms
- Summary of key extraction rules
- File naming convention
- Template Worksheets
- Each template is a separate worksheet
- Fields that should be populated within any
required template are highlighted
15Template Review
- Each template defines a separate file
- Supported file formats are listed on each
template - In order to support 9 digit AUN Code, only
delimited files may be used - Text qualifiers are critical when using comma as
the delimiter - All fields are identified
- Not all fields required
- All fields MUST BE accounted for
- e.g. 1995-05-14,M,,,B
- Order of fields is identified
- Field formats are included
- e.g. Dates MUST BE in YYYY-MM-DD (ISO) format
- Maximum Field lengths are identified
- Applicable extraction rules are identified
16eScholar Templates
- Period
- Day Calendar
- Staff
- Staff
- Staff Snapshot
- Staff Assignment
- Student
- Student
- Student Snapshot
- Student Summary Attendance
- District and Location
- District Annual Facts
- Course Grades
- Course
- Course Instructor
- Student Course Enrollment
- Enrollment
- School Enrollment
- Groups Programs
- Programs Fact
- Title I Program
17Course Template
Identifies attributes of Courses
- One record per LEA, Location, School Year, and
Course Code - Local Course ID used as the Course Code
- Subject Area will be used for grouping and
reporting purposes
18Course Instructor Template
Associates Course/Section with Teacher(s)
- One record per LEA, Location, School Year, Course
Code, Section Code and Teacher - Professional Personnel ID (PPID) of Staff Member
- Can also record additional instructors
19Student Course Enrollment Template
Associates Course/Section with Students
- One record per LEA, Location, School Year, Time
Period, Student ID, Course Code, and Section - Snapshot of which classes students were taking at
a point in time
20School Enrollment Template
Identifies Location Entry and Exit information
for Students
- One record per LEA, Location, School Year,
Enrollment Code, Time Frame, and Student ID - Enrollment Codes set by PDE
- Both Entry and Exit Codes
- Used to track mobility
21Programs Fact Template
Identifies Students Participation in Programs
- One record per LEA, School Year, Student ID, Time
Frame, and Program ID - Programs defined by PDE
- Only a subset of programs will be tracked
- PDE will create Program IDs
- Participating Students only
22Title I Programs Template
Identifies Students Participation in Title I
Programs
- One record per LEA, Student ID, and Reporting
Date - Indication of student participation in Title I
Programs - Reporting Dates are points in time
- PDE controlled Reporting Dates
23Day Calendar Template
Identifies School Days by Location and Grade Level
- One record per LEA, Location, Grade Level, and
Date - Default Grade Level of AL if one calendar at
Location
24Staff Template
Identifies Demographics of Staff Members
- One record per LEA and Staff ID
- PPID Assigned to Staff Member
- Local ID may be stored in Alternate ID
- Reflects current view of Staff Members
- Primary Location (School) recorded here
- Actual location of each position is stored in
Staff Assignment
25Staff Snapshot Template
Identifies Demographics of Staff Members at a
point in time
- One record per LEA, Staff ID and Snapshot Date
- Snapshot Dates are points in time
- PDE controlled Snapshot Dates
- Same exact format as Staff Template
26Staff Assignment Template
Associates Staff Members with Positions
- One record per LEA, Location, Staff Member, and
Assignment - Assignment Codes set by PDE
- Assignment is a combination of Position and Time
Frame
27Student Template
Identifies Demographics of Students
- One record per LEA, School Year, and Student ID
- PASecureID to be used as ID
- Local ID may be stored in Alternate Student ID
- Reflects current view of Students
28Student Snapshot Template
Identifies Demographics of Students at a point in
time
- One record per LEA, School Year, Student ID, and
Snapshot Date - Snapshot Dates are points in time
- PDE controlled Snapshot Dates
- Same exact format as Student Template
29Student Summary Attendance Template
Summarizes Attendance and Enrollment information
for students in a given period
- One record per LEA, Student ID, and Reporting
Date - Cumulative Attendance and Enrollment
- Reporting Dates are points in time
- Submitted at year end
30District Annual Facts
Store different types of district-level measures
in any type of grouping and sub grouping for a
given point in time
- One record per District and Reporting Date
- Reporting Dates are points in time
- PDE controlled Reporting Dates
- Up to 10 categories of information can be tracked
for each District and Reporting Date. - Possible values for each category type are
Count, Amount, Percent, and Indicator.
31Location Annual Facts
Store different types of location or school-level
measures in any type of grouping and sub grouping
for a given point in time
- One record per District, Location and Reporting
Date - Reporting Dates are points in time
- PDE controlled Reporting Dates
- Up to 10 categories of information can be tracked
for each District and Reporting Date. - Possible values for each category type are
Count, Amount, Percent, and Indicator.
32eScholar Template Overview
5 minute QA
1
Please submit your question using the messaging
tool.
2
All answers, follow up questions and comments can
be made via microphones.
33Introductions Objectives
PIMS Overview
eScholar Template Overview
eScholar Data Submission Overview
Project Resources and Contacts
Questions and Answers
34Data Extraction and Submission
- Involves the process of
- Extracting data from source systems
- Securely submitting files to PIMS
- PIMS hosted in Pennsylvania at a secure hosting
facility - Loading data into the PIMS data warehouse
- Components consist of
- Extraction tools
- eScholar templates
- Automation components
- Documentation
35Templates and the Data Dictionary
- The Data Dictionary identifies PDE field names,
terms, and valid values - The Dictionary also provides the mapping from
these fields/terms to the eScholar template
fields - Use eScholar templates to understand required
format of individual fields and files - Follow eScholar defined naming conventions for
each file name
36Data Dictionary
37New PIMS Manual
- The project team is currently developing a PIMS
Manual - One central repository to understand how to
create templates, submit data, and run reports - Will incorporate eScholar templates, data
dictionary, and FAQs - Draft PIMS Manual will be produced in June
38File Naming Conventions
- LEACode_PrimaryTargetTable_YYYYMMDDHHMM.xxx
- LEA Code 9 digit AUN code
- Primary Target Table See Following slide
- Timestamp ensures uniqueness for the file on
the server - Extension
- csv comma separated
- tab tab seperated
- del other delimiter
- Example 001_student_200603291345.csv
39Naming Convention Common Problems
- LEA Code must be nine characters
- Time Stamp is related to the time the file is
created - e.g. If the Student file was created at 300 pm
the file name would be 000000001_Student_200703291
500.csv - Primary Target Table is located on line 5 of the
eScholar templates - Exact name listed must be used for File naming
convention (e.g. Student Course Enrollment
Template is COURSE_ENROLL)
40Data Extraction/Template Creation
- Column Recoding
- eScholar data warehouse provides Lookups for
recoding - Ethnic Codes to Ethnic Descriptions
- e.g. 1000 Black or African American
(non-Hispanic) - PIMS uses PDE-defined codes
- Codes are case sensitive so must match exactly
- Data Extraction process must translate local
codes to PDE codes - Lookup Tables will translate PDE codes to PDE
descriptions
41Data Extraction/Template Creation
- Development Priority
- Some templates have dependencies on other
templates - Identified in Load Sequence section at bottom of
each Template - Recommendation Start with Student template
- Development/Testing
- Can progress in parallel
- e.g., unit test Student extract while developing
Staff extract - eScholar Guide to Extraction Document
- Summarizes how to use templates to develop
extract routines
42eScholar Guide to Extraction
- Field Lengths
- Fields lengths are identified in each template in
the Length column. This information is critical
because the eScholar load plans will reject any
record, which contains a field that is greater
than the designated length. Obviously this is of
particular importance with delimited files if
the number of positions between delimiters is
greater than the designated length for that field
number for any field in the record, the record
will be rejected - When creating a delimited file, there is no need
to use all of the positions - it is not
necessary to pad with blanks - Do not use leading spaces with any character
fields - Date Format
- Any date field in any template formatted record
must be in ISO format YYYY-MM-DD. This includes
the full ten characters, including the dashes
between Year and Month and Month and Day.
43PIMS Access Database
- For those LEAs without a SIS, PDE will provide a
"PIMS Access database - The database will allow LEAs to enter the
required PIMS data through forms and to extract
the data into template format
44Flow of Information
Template Creation/ Data Extraction
Data Upload
Review Files
Create Batch
Review Batch
Verify Data
Data Warehouse
45Data Submission Process
- Data is extracted and template-formatted files
are created - Files submitted online through DataManager
- Data Manager is an online tool used to upload
files - Files processed by eScholar Data Manager
- Data verified by LEA / PED users
46Draft Data Submission Schedule
- The Data submission Calendar for PDE templates is
currently under review. - Currently 4 reporting periods have been
identified - October
- January
- March
- August
- The following templates will be collected in Oct
2007 - Student
- Student Snapshot
- School Enrollment
- Programs Fact
47Training on Data Submission
- PDE will conduct DataManager and Decision Support
training prior to the statewide rollout for all
LEAs - Communications will be e-mailed to all LEAs and
SIS vendors when specific dates and locations are
determined
48eScholar Data Submission Overview
5 minute QA
1
Please submit your question using the messaging
tool.
2
All answers, follow up questions and comments can
be made via microphones.
49Introductions Objectives
PIMS Overview
eScholar Template Overview
eScholar Data Warehouse Overview
Project Resources and Contacts
Questions and Answers
50Project Resources
- Project website
- http//www.pde.state.pa.us/PIMS
- Will contain resources such as the PDE data
dictionary, standard PDE code sets, and project
events - Does not contain the templates (proprietary
material) - Check frequently for updates
51Project Contact
- Questions should be directed to the PIMS help
desk at RA-PIMSHelp_at_state.pa.us -
52Next Steps
- Familiarize with the eScholar templates and new
data fields - Student and Staff templates are a good starting
point - Stay tuned for upcoming PIMS training and
documentation - User Manual to be released in early June
- Additional webinars to be scheduled
- Opportunity to test template file formats in late
summer / early fall - Contact the PIMS project team with questions
- The recorded webinar can be found at
http//vclass.cciu.org
53Introductions Objectives
PIMS Overview
eScholar Template Overview
eScholar Data Warehouse Overview
Project Resources and Contacts
Questions and Answers
54PIMS Webinar QA
1
Please submit your question using the messaging
tool.
2
All answers, follow up questions and comments can
be made via microphones.