FR 2025-05503

Overview

Title

Notice of Intent To Seek Approval To Establish an Information Collection

Agencies

ELI5 AI

The National Science Foundation wants people to tell them what they think about how they plan to talk to colleges to help them do better research. They will ask college staff questions and have group talks to figure out how to make research easier and better.

Summary AI

The National Science Foundation (NSF) is seeking comments on a proposed information collection to support the evaluation planning of the Growing Research Access for Nationally Transformative Economic Development (GRANTED) program. This initiative aims to enhance research support services and infrastructure at U.S. institutions of higher education. The NSF plans to conduct structured interviews and focus groups with research administrators to gather data on improving research capacity and support. Comments must be submitted by May 30, 2025.

Abstract

Under the Paperwork Reduction Act of 1995, and as part of its continuing effort to reduce paperwork and respondent burden, the Office of Integrative Activities (OIA), National Science Foundation (NSF) is inviting the general public or other Federal agencies to comment on this proposed information collection.

Type: Notice
Citation: 90 FR 14274
Document #: 2025-05503
Date:
Volume: 90
Pages: 14274-14276

AnalysisAI

The document in question is a notice from the National Science Foundation (NSF), seeking public comments on a proposed information collection effort. This initiative is part of the agency's efforts under the Paperwork Reduction Act of 1995 to streamline paperwork and lessen the burden on respondents. The information collection is intended to support the evaluation planning of the Growing Research Access for Nationally Transformative Economic Development (GRANTED) program, which aims to improve research support services and infrastructure at institutions of higher education in the United States.

General Summary

The GRANTED program sets itself apart by focusing on institutional development rather than solely on faculty and student engagement in research. Its primary aim is to bolster research support services and infrastructure, thereby helping educational institutions better position themselves to win grants and enhance their research environments. To achieve these goals, the NSF plans to conduct a series of structured interviews and focus groups with research administrators. These activities are intended to gather insights into best practices and strategies to enhance research capacity at these institutions.

Issues and Concerns

A notable concern with the proposed collection is the lack of explicit details about its necessity and projected outcomes. Without clear justifications, the initiative might be perceived as bureaucratic paperwork that could increase administrative burdens without apparent benefits. The document also does not fully clarify the criteria used to select the 100 institutions for interviews and focus groups, which raises potential issues regarding bias or favoritism.

The language in parts of the document, such as references to a "feasible formative evaluation, guided by a logic model," may feel overly complex and technical for a general audience, which could hinder public engagement and comprehension. Additionally, there is an absence of a direct link between the data gathered through this collection and the tangible improvements it will bring to the GRANTED program.

Another significant point of concern is the document's failure to address the financial implications of conducting these data collection efforts. Without a detailed budget or cost analysis, stakeholders might be wary of possible inefficient expenditure, especially given public sensitivity to fiscal responsibility.

Impact on the Public and Stakeholders

Broadly, this document may not have an immediate noticeable impact on the general public. However, it has a more pronounced effect on stakeholders in the academic and research sectors. Research administrators at colleges and universities—those particularly targeted for involvement—could either benefit from enhanced research support structures or face additional workloads and obligations tied to this information collection.

For institutions participating in the GRANTED program, the data collection could help to identify and implement best practices that optimize their research capabilities, thereby potentially increasing their competitiveness for grants. On the flip side, if not managed effectively, it could lead to frustrations over undelivered promises of support enhancement.

In summary, while the proposed information collection by NSF under the GRANTED initiative has a potentially positive intention of boosting research infrastructure, it is vital for the agency to address the highlighted concerns to ensure the initiative's efficiency, transparency, and effectiveness, especially in its communication with its intended contributors and beneficiaries.

Issues

  • • The notice does not provide specific details or justification on the necessity and anticipated outcomes of the new information collection, which might be perceived as bureaucratic paperwork without clear benefits.

  • • There is a lack of clarity regarding the criteria for selecting the 100 higher education institutions for interviews and focus groups, which could lead to biases or favoritism.

  • • The language used in some sections, such as 'feasible formative evaluation, guided by a logic model,' might be overly complex and not easily understandable to a general audience.

  • • The document does not provide a clear explanation of how the data collected through interviews and focus groups will directly impact or improve the GRANTED program.

  • • There is no mention of a budget or cost analysis for conducting the proposed interviews and focus groups, which might lead to concerns about potential wasteful spending.

Statistics

Size

Pages: 3
Words: 1,536
Sentences: 51
Entities: 89

Language

Nouns: 559
Verbs: 127
Adjectives: 90
Adverbs: 11
Numbers: 56

Complexity

Average Token Length:
5.39
Average Sentence Length:
30.12
Token Entropy:
5.46
Readability (ARI):
22.69

Reading Time

about 6 minutes