This technical bulletin provides title IV-E agencies that choose to develop a Comprehensive Child Welfare Information System (CCWIS) with information on a modular design approach and guidance on the assessment of modular design during the CCWIS automated function review. Metadata-only record linking to the original dataset. Open original dataset below.

This DSS presentation describes the Comprehensive Child Welfare Information System (CCWIS) Submission Requirements as defined by Federal Regulation 45 CFR 1355.52(i) and provides examples. Metadata-only record linking to the original dataset. Open original dataset below.

This DSS presentation describes the Comprehensive Child Welfare Information System (CCWIS) Data Exchange Requirements as defined by Federal Regulations 45 CFR 1355.52(e), 1355.52(f), and 1355.54. Both mandatory and optional data exchanges are covered in this presentation. Metadata-only record linking to the original dataset. Open original dataset below.

This Information Memorandum (IM) provides title IV-E agencies that choose to develop a CCWIS and expect expenditures to meet or exceed thresholds defined in APD regulations with information on the use of an optional checklist to document automated functions as described in CCWIS regulations at 45 CFR 1355.56. Metadata-only record linking to the original dataset. Open original dataset below.

This DSS presentation describes the Comprehensive Child Welfare Information System (CCWIS) IV-E Eligibility Requirements as defined by Federal Regulations 45 CFR 1355.52(g). Related CCWIS data, data exchange, and data exchange standard requirements as defined by Federal Regulations 45 CFR 1355.52(b), 1355.52(e), and 1355.52(f) are also covered. Metadata-only record linking to the original dataset. Open original dataset below.

In order for a child welfare case management system to be called a SACWIS/TACWIS, it must comply with Federal requirements. This PowerPoint describes these Federal requirements. Metadata-only record linking to the original dataset. Open original dataset below.

A discussion about strategies to strengthen system adoption and implementation. This webinar, co-hosted with the Capacity Building Center for States, highlights a new tool, Mapping Change and Implementation to Comprehensive Child Welfare Information System (CCWIS) Projects, and how it may be used in different project phases. Additional information and the tool can be found at: Mapping Change and Implementation to CCWIS Projects - Center for States - Child Welfare Capacity Building Collaborative (PDF), and the PDF is also available in the files below. Audio Description Version Metadata-only record linking to the original dataset. Open original dataset below.

This technical bulletin provides Advance Planning Document (APD) guidance to state and tribal title IV-E agencies planning to develop a child welfare information system utilizing an agile project management approach. Metadata-only record linking to the original dataset. Open original dataset below.

States are currently reviewing the new Comprehensive Child Welfare Information System (CCWIS) regulations and assessing the impacts these requirements will have on their existing child welfare information systems. Join us as representatives from Colorado, New York, and Virginia discuss the unique considerations and challenges that county‐administered states face as they discuss a potential CCWIS implementation. Included are the following topics: This session will be participant driven, with state representatives sharing their experiences and much of the session devoted to Q&A and open discussion. Although the discussion focuses on county‐administered states, this webinar is open to all states. Speakers for the session will include the following: Metadata-only record linking to the original dataset. Open original dataset below.

This Information Memorandum (IM) informs state and tribal title IV-E agencies about the publication of the CCWIS NPRM and where to submit comments. Metadata-only record linking to the original dataset. Open original dataset below.