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Data Sharing: Where It Has Worked and Why It Matters Presenters from: Center for the Study of Child Care Employment, UC Berkeley National Association of.

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Presentation on theme: "Data Sharing: Where It Has Worked and Why It Matters Presenters from: Center for the Study of Child Care Employment, UC Berkeley National Association of."— Presentation transcript:

1 Data Sharing: Where It Has Worked and Why It Matters Presenters from: Center for the Study of Child Care Employment, UC Berkeley National Association of Child Care Resource and Referral Agencies The National Registry Alliance T.E.A.C.H. Early Childhood ® Project 2012 NACCRRA Policy Symposium March 9, 2012

2 Agenda… Why data sharing matters Overview of each organization Data sharing efforts within each organization How are the organizations working together for even greater data sharing opportunities

3 Data Sharing is Needed to Answer Workforce Policy Questions… What is the size of the workforce? What are the characteristics of the workforce? What percentage of the workforce meets the state or national standards set for the workforce at different levels? What public policies and investments lead to a skilled and stable ECE workforce?

4 The Early Childhood Data Collaborative (ECDC) The Center for the Study of Child Care Employment at UC Berkeley Council of Chief State School Officers Data Quality Campaign National Conference of State Legislatures National Governors Association Center for Best Practices Pre-K Now, a campaign of the Pew Center on the States Child Trends The ECDC is supported through funding from the Birth to Five Policy Alliance, The Pew Charitable Trusts, and The David and Lucile Packard Foundation.

5 The ECDC will… Support state policymakers’ development and use of coordinated state early care and education data systems Provide tools and resources to encourage state policy change related to ECE data systems Provide a national forum to support coordinated state ECE data systems

6 ECDC Theory of Action Start with policy questions Guiding principles  Compliance to improvement  Fragmented to coordinated  Snapshot to longitudinal 10 fundamentals Track state progress related to the fundamentals

7 First 50-state survey of ECE data systems Every state collects some ECE data Data gaps remain:  Child-level development data  Workforce data Data are uncoordinated Governance matters

8 Aligning across ECE workforce data systems Three major, field-based points of workforce data collection within states/regions:  National Registry Alliance  NACCRRAWare/T-TAM  T.E.A.C.H. Early Childhood® Project More than one-half of the states use more than one type of workforce data systems The Center for the Study of Child Care Employment at UC Berkeley is facilitating alignment conversations between the primary data collection groups

9 The universe of data from these partners alone is vast… National Registry Alliance – 33 states have reported registries NACCRRAWare/T-TAM T.E.A.C.H. Early Childhood ® Project—22 states plus DC

10 National Registry Alliance Vision State career development systems for a well-trained, supported, and adequately compensated early childhood workforce Enhances and supports the work of state early childhood registries by providing an interactive forum for networking, and information and strategy exchanges Systems that are:  High-Quality  Coordinated  Documented  Accessible

11 National Registry Alliance Initiatives Best practices for collection and reporting Common core data elements – many of which are used throughout the industry Policy briefs based on workforce data Start-up tools for registries Annual conference National workforce dataset

12 The Alliance Partnership Eligibility Review (PER) Process… Supports the vision of a national workforce dataset Peer-review process to evaluate a registry’s ability to participate in a national dataset  Data elements  Formatting  Processes used to gather and maintain data Six state registries have achieved PER status and three are in progress:  Connecticut  Missouri  Montana  New Jersey  Wisconsin  Wyoming

13 The Alliance Dataset… The Alliance is in the process of gathering its second national dataset; the first was in 2009 Data from PER approved states, 6 – 9 contributing datasets Results and conclusions will be published in late Spring/early Summer

14 NACCRRA Involvement Goals NACCRRA Strategic Plan Objectives ( )  Supports and Promotes Public Policy Initiatives  Technology Advisory Committee  Data Definition Working Group for NACCRRA Data Services (NDS)  Expand Data Sharing Capabilities of NDS Datasets Common Standardize Data Elements for Reporting Increase awareness of CCR&R Services and Datasets

15 T.E.A.C.H. Commitment to Effort Aligns with T.E.A.C.H. Core Values  Data Integrity and Transparency  Collaboration  Support for the EC Workforce  Continuous Quality Improvement Provides a platform for discussion of workforce issues Allows ownership of decision on data definitions and collection

16 Benefits of alignment Foundation of the workforce component of a state’s integrated ECE data system More comprehensive workforce data Efficiency for practitioners and directors Field influence on workforce definitions used in national workforce research and data efforts and reporting on federal workforce initiatives

17 Examples of Collaboration and Data Sharing: Missouri’s MOPD ID Missouri Professional Development ID Developed to facilitate individuals’ participation in Missouri’s Professional Development System  Single ID used for multiple purposes 6-digit number is jointly managed by the OPEN Initiative (career development initiative) and Child Care Aware® of Missouri (CCR&R Network) Professionals can use their MOPD ID when participating in quality initiatives To date, over 18,000 MOPD IDs have been issued

18 Common uses of a MOPD ID Early childhood and before/after school professionals  Register for approved clock-hour workshops on the MO Workshop Calendar  Access their training attendance reports on the OPEN website Trainer  Post their trainings on the Missouri Workshop Calendar  Seek training approval or enhanced training approval  Seek trainer authorization Program administrators  Access other features on the OPEN or Child Care Aware® of Missouri secure websites Without a MOPD ID, professionals will be unable to use the services described above.

19 Examples of Collaboration and Data Sharing: Connecticut Integrated into CCAC Registry are:  Scholarship Assistance  Career Counseling  Training Approval  Head Teacher Approval This brings together state agencies like:  Department of Social Services  Community Colleges  Department of Education  Department of Health  Office of Workforce Development  Head Start

20 These collaborations allow for… Compliance verification of staff qualifications in DSS and SDE funded programs and for DPH Head Teacher Agreement of a common standard definition for ECE degrees and courses Creation of a common standard for assessing the ECE credit requirement for teachers in publicly funded programs and DPH head teachers

21 Examples of Collaboration and Data Sharing: NACCRRA Multiple State Networks and CCR&Rs – Specific Data Export and Usage Multiple States – Statewide Provider Solution IN State Network – NDS Database Replication System for Cross Program Reporting using Crystal Reports MN State Network – Data Exchange Bridge Between NACCRRAware and Professional Development System

22 Examples of Collaboration and Data Sharing: North Carolina Shared data  Certification and DCDEE  DCDEE regulatory database with T.E.A.C.H. and WAGE$ and CCR&R  T.E.A.C.H., WAGE$, T.E.A.C.H Health Insurance and Certification Shared databases  WAGE$ and Certification New data warehouse

23 Proof of Concept… Obtain snapshot of sample data from participating organizations Cleanse and review data to determine consistency with how data are reported Make a determination as to whether data from these organizations can be combined successfully

24 An Overview of the Categories of Essential Data Elements Unique participant ID Demographics Employer information Employment status Education and training Note: Proof of concept will not include identifiable person-level data.

25 The National Registry Alliance Implementation Alliance is in the midst of a 6-9 registry data pull and the data for the “proof of concept” will be taken from this merged data set Data set is comprised of the registries that successfully completed the Partnership Eligibility Review

26 NACCRRA Implementation Plan Twelve to Eighteen Month Process Creation of a Working Group from the field Agency and Program Considerations Proof of Concept Process – Small Scale Legal Considerations  License Agreement Changes  Data Sharing, Confidentiality, Privacy and Permissions

27 NACCRRA Implementation Plan Technical Implementations  Implementation of Supporting Functionality for Participation in NACCRRA Data Services (NDS) Additional Small Scale Testing and Trials Supporting Best Practices Documentation, Help Systems and Training

28 T.E.A.C.H. Implementation Plan Share information on project with all states Field test new scholarship application, new 2-stage application process and database revisions in NC Provide mini-grants to states to revise their own applications and application process Make database revisions to capture new data in all participating states Test data integrity on key variables in participating states

29 Next steps… Pilot the standard data definitions and format through the proof of concept Promote standard workforce definitions in national and federal research and reporting Advocate for full participation in state workforce registries

30 Contact information J. Albright, NACCRRA, Fran Kipnis CSSCE, UC Berkeley, Sue Russell, Child Care Services Association, Maria Taylor, Childcare Education Institute, Jill Soto, Center for Early Childhood Professional Development,


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