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Enhancing a SACWIS to Collect and Report NYTD Data
This brief summarizes guidance on NYTD reporting in a statewide automated child welfare information system (SACWIS) environment (ACYF-CB-PI-10-04) with examples of strategies states have used to develop SACWIS enhancements to collect and report NYTD data. Metadata-only record linking to the original dataset. Open original dataset below.
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SACWIS Assessment Review Guide
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This document provided guidelines to federal and state personnel about conducting Statewide Automated Child Welfare Information System (SACWIS) assessment reviews. Metadata-only record linking to the original dataset. Open original dataset below.
SACWIS Technical Bulletin #1: Action Plan Guidance and Examples
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This Technical Bulletin provides guidance for states developing action plans for the Statewide Automated Child Welfare Information System (SACWIS) Assessment Review Report (SARR). States submit action plans to describe to the Administration for Children and Families (ACF) their approach for bringing the SACWIS into compliance with federal requirements. Metadata-only record linking to the original dataset. Open original dataset below.
SACWIS Technical Bulletin #1: Action Plan Guidance and Examples
공공데이터포털
This Technical Bulletin provides guidance for states developing action plans for the Statewide Automated Child Welfare Information System (SACWIS) Assessment Review Report (SARR). States submit action plans to describe to the Administration for Children and Families (ACF) their approach for bringing the SACWIS into compliance with federal requirements. Metadata-only record linking to the original dataset. Open original dataset below.
SACWIS Assessment Review Guide: Summary of Changes 2008 to 2011
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This document summarizes changes made to the Statewide Automated Child Welfare Information System (SACWIS) Assessment Review Guide from 2008 to 2011. Metadata-only record linking to the original dataset. Open original dataset below.
NYTD: Overview, Reflections & CCWIS Opportunities
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This webinar described how Comprehensive Child Welfare Information System (CCWIS) can support program, data quality, and reporting requirements for the National Youth in Transition Database (NYTD). It provided an overview of NYTD, discussed the importance of engaging young people in decision making, and explored opportunities for improved data collection technology and case management systems. Descriptive Audio Version Metadata-only record linking to the original dataset. Open original dataset below.
NYTD Technical Bulletin #3: Data Quality Advisories
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This TB describes the data-quality checks that the federal NYTD system will conduct on state data files. Metadata-only record linking to the original dataset. Open original dataset below.
CCWIS Reviews Presentation
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This DSS presentation describes the Comprehensive Child Welfare Information System (CCWIS) Review and Assessment process, as defined by Federal Regulations 45 CFR 1355.55. Metadata-only record linking to the original dataset. Open original dataset below.
Guide to the NYTD Review
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The Children’s Bureau developed this Guide to the NYTD Review to provide information to states regarding the NYTD Review process, including the procedures used to conduct the onsite review. The Guide may be used as a self-assessment tool for states that have implemented NYTD data collection requirements in an existing system. Metadata-only record linking to the original dataset. Open original dataset below.
CCWIS Data Quality Requirements Presentation
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This DSS presentation describes the Comprehensive Child Welfare Information System (CCWIS) Data Quality Requirements as defined by Federal Regulation 45 CFR 1355.52(d) and provides examples. Metadata-only record linking to the original dataset. Open original dataset below.
Program Instruction (PI-10-04)
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This Program Instruction (PI) provides instruction on National Youth in Transition Database (NYTD) reporting in a statewide automated child welfare information system (SACWIS) environment. Metadata-only record linking to the original dataset. Open original dataset below.