The goals of the DQC are to:
- Improve the quality, timeliness and understanding of the data used for educational reporting, decision-making and school/student improvement
- Reduce data-related errors and inaccurate reporting that can lead to reductions in funding and/or errors in state and federal reporting
- Increase understanding of critical issues such as the Family Educational Rights and Privacy Act (FERPA), data relationships, and best practices
- Reinforce that data management responsibilities are critical to an effective school environment and require a specific set of skills
- Create an effective and enterprise-wide culture of data quality
By increasing the quality and timeliness of data submitted to the PDE through training, networking, skill development and recognition, all stakeholders will have reliable, manageable data. To this end, a data quality curriculum is being developed utilizing seven specialized tracks:
- Entry Level PIMS Administrator Track
- Experienced PIMS Administrator Track
- Data Entry Track
- LEA Administrator Track
- LEA Building Level Administrator Track
- LEA Best Practices Track
- Special Education Track
- DQC Specialty/Elective Modules include PAsecureID, Data Quality Engine, Child Accounting, Career and Technical Education, School Enrollment Template, Educator Effectiveness, Delete Utility, Internal Snapshot, and Educator Dashboard and Early Warning System (EWS).
These tracks include instruction on general data quality practices and techniques, as well as intensive role-based training with PDE web-based applications, including PIMS and support resources. Successful completion of any track by appropriate LEA staff culminates in a certification of completion.
Certification tracks will be delivered through online learning with the exception of the initial Resource Navigation lesson which will be delivered via a face-to-face session or by video conference. Subsequent sessions will be delivered through the online platform of Moodle (https://www.padqc.org/learn).