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
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
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?
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.
www.ecedata.org
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
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
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
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
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
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
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
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
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
NACCRRA Involvement Goals
 NACCRRA Strategic Plan Objectives (2010-2015)
 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
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
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
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
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.
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
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
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
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
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
An Overview of the Categories of
Essential Data Elements
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Unique participant ID
Demographics
Employer information
Employment status
Education and training
Note: Proof of concept will not include identifiable person-level data.
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
NACCRRA Implementation Plan
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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
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
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
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
Contact information
 J. Albright, NACCRRA, joa@naccrra.org
 Fran Kipnis CSSCE, UC Berkeley,
frankipnis@berkeley.edu
 Sue Russell, Child Care Services Association,
suer@ipass.net
 Maria Taylor, Childcare Education Institute,
mtaylor@cceionline.edu
 Jill Soto, Center for Early Childhood Professional
Development, jsoto@ou.edu