FR 2025-07079

Overview

Title

Proposed Information Collection Activity; Formative Data Collections for ACF Program Support

Agencies

ELI5 AI

The government wants to keep asking people questions to help make their programs better, and they're checking if it's okay to keep doing that. They're asking everyone to share their thoughts about this plan.

Summary AI

The Administration for Children and Families (ACF) under the Department of Health and Human Services is seeking public comments on its plan to request an extension of the existing approval for Formative Data Collections for ACF Program Support. This involves making minor updates for clarity in their supporting documents. ACF collects this data to enhance training, technical assistance, and program planning and evaluation, using methods like surveys, interviews, and focus groups. Comments on this proposal can be submitted by June 27, 2025.

Abstract

The Administration for Children and Families (ACF) plans to submit a request to the Office of Management and Budget (OMB) to extend approval of the existing overarching generic clearance for the Formative Data Collections for ACF Program Support. ACF proposes minor updates to supporting statement justification for the overarching generic for clarity.

Type: Notice
Citation: 90 FR 17603
Document #: 2025-07079
Date:
Volume: 90
Pages: 17603-17604

AnalysisAI

Overview of the Document

The Administration for Children and Families (ACF), a part of the Department of Health and Human Services, is seeking input from the public regarding their plan to extend the approval for formative data collections. These collections support ACF programs by gathering information to refine and improve various program aspects such as training, technical assistance (T/TA), and program evaluation. The document outlines methodological approaches such as surveys, focus groups, and interviews for data collection. The public has until June 27, 2025, to submit their comments.

Significant Issues and Concerns

One of the main challenges with the document is its use of technical language, which could be difficult for a wider audience to understand if they are not familiar with government procedures. This complexity might limit meaningful public participation if individuals cannot fully comprehend the implications or necessity of the data collection.

Moreover, the document does not provide concrete examples or past case studies demonstrating how previous data collections have benefited ACF programs. Such illustrations could help the public understand the direct impact and utility of their efforts.

Additionally, there are concerns related to privacy and confidentiality, as the document fails to detail how the collected data will be protected or anonymized. Without this information, stakeholders might worry about potential misuses of personal information.

The criteria for respondent selection are also not specified, raising potential issues of favoritism or bias in choosing participants. Likewise, the proposal calls for an expedited review within ten days for data collection requests, but it does not justify the need for such speed nor explain how it could impact the thoroughness of the review process.

Broader Impact on the Public

If implemented effectively, the proposal aims to enhance the operations and impact of ACF programs, which ultimately serve families and children across the nation. By refining program delivery and evaluation methods, ACF could potentially improve service outcomes and resource utilization, benefiting many underserved communities.

However, the public might hold reservations about the scope and necessity of the data collection without clear communication of its past successes or potential advantages. The absence of transparency regarding data protection protocols might further deter engagement from individuals concerned about their privacy.

Impact on Specific Stakeholders

For stakeholders directly involved with ACF programs, such as service providers and grant recipients, the proposed data collection could be an opportunity to influence the development and enhancement of programs they are part of. Their feedback might lead to more effective and efficient service delivery models tailored to their needs.

Conversely, the lack of specific respondent criteria might lead to impartiality concerns, where not all voices are proportionately represented. Additionally, if the ten-day review period impacts the depth of the review process, stakeholders might question the reliability of the evaluations based on the collected data.

Overall, while the document outlines a commendable objective to improve ACF programs through data collection, addressing the raised issues could facilitate wider public engagement and assurance regarding the process and its impact.

Issues

  • • The document uses technical and bureaucratic language that may be complex and difficult for some stakeholders to understand without a background in government processes.

  • • There is a lack of specific examples or case studies illustrating how previous data collections under the overarching generic clearance have directly benefited ACF programs, which could provide clarity to the public.

  • • The document mentions the use of semi-structured discussions, focus groups, surveys, and other techniques without detailing how data will be protected or anonymized, which could raise privacy concerns.

  • • Although the document specifies the types of respondents, it lacks detailed criteria for how respondents will be selected, potentially leading to concerns about favoritism or bias.

  • • The request for public comments section suggests that stakeholders need to comment on the necessity and utility of the proposed data collection, but no baseline metrics or past performance data are provided for comparison.

  • • Expedited OMB review within 10 days is requested for each GenIC submission, but there is no justification provided on why such a rapid turnaround is necessary or how it will be achievable without sacrificing thoroughness.

Statistics

Size

Pages: 2
Words: 1,071
Sentences: 33
Entities: 46

Language

Nouns: 383
Verbs: 92
Adjectives: 67
Adverbs: 10
Numbers: 19

Complexity

Average Token Length:
5.21
Average Sentence Length:
32.45
Token Entropy:
5.24
Readability (ARI):
22.99

Reading Time

about 4 minutes