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tooluniverse-nih-funding-landscape

Analyze NIH grant portfolios and funding history using the OpenNIH FY1985-present corpus.

1.7k|254|Updated Mar 3, 2025
Search Tags:#clinical trials#nih#evidence grading#research portfolio#grant analysis#opennih#funding trends
One-click install
npx skills add https://github.com/mims-harvard/ToolUniverse --skill tooluniverse-nih-funding-landscape
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tooluniverse-nih-funding-landscape
Source: https://github.com/mims-harvard/ToolUniverse/tree/main/skills/tooluniverse-nih-funding-landscape
Command: npx skills add https://github.com/mims-harvard/ToolUniverse --skill tooluniverse-nih-funding-landscape

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

NIH funding data spans decades, mechanisms, and institutions, and naive queries produce misleading totals: null dollars read as zero, project-year rows get miscounted as awards, and acronym searches inflate results. This Skill turns the OpenNIH corpus into auditable funding analyses with explicit scopes, units, and evidence grades.

Core Features & Use Cases

  • Portfolio and trend analysis: Track topic, Institute/Center, mechanism, and institution funding over time with reconciled pagination, distinct-award counting, and partial-year detection.
  • Entity resolution: Disambiguate PIs and institutions through profile IDs and entity IDs instead of raw name substrings, preventing merged identities and inflated totals.
  • Cross-source translational linking: Connect grants to PubMed publications, ClinicalTrials.gov studies, and other ToolUniverse sources using exact identifiers with F1/F2/X1/X2/X3 evidence grading.
  • Use Case: A journalist asks whether NIH really spent $156M on maternal mortality research; the Skill decomposes the headline into one dominant OT2 coordinating-center award, compares title-text versus RCDC surfaces, and delivers an audit-ready explanation with public award links.

Quick Start

Ask the agent to analyze how NIH funding for a topic such as CRISPR changed from 2012 through 2025, including which Institutes drove it and which representative awards support the interpretation.

Frequently Asked Questions about tooluniverse-nih-funding-landscape

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze NIH funding trends for a research topic?▼

Start with OpenNIH_search_grants and OpenNIH_topic_trend using the exact term plus material synonyms run separately. Inspect representative records, distinguish project-year rows from distinct core awards, and never add query totals without deduplicating award identifiers.

How do I look up a specific NIH grant by project number?▼

Use OpenNIH_search_grants with the full project number, then OpenNIH_fetch for a canonical citation-shaped record and public URL. A core project number alone is not fetchable; fetch requires the full project number including suffix.

Can OpenNIH data estimate my grant application's chance of success?▼

No. OpenNIH contains only awarded grants, so it lacks the rejected-application denominator needed for success rates or reviewer preferences. Use it to find funded precedents, active mechanisms, and comparable topics instead.

Why does a null award_amount not mean zero funding?▼

Null means the amount was not reported in the corpus, which is common for FY1985-1998 records. Converting nulls to zero fabricates dollar totals, growth rates, and concentration statistics; report counts and label dollars as not reported.

Can I use institution name search to calculate state or city NIH funding?▼

No. The institution parameter is a raw organization-name substring, not a geographic filter, and grant rows expose no city or state fields. Geographic totals require resolved institution entities joined to an external dated location source.

How do I link an NIH grant to publications and clinical trials?▼

Search PubMed's Grant Number field and ClinicalTrials.gov with the exact project number first, grading exact identifier matches as X1 links. Treat topic-only trial hits as X3 candidates and retrieve study-detail records before citing any NCT ID.

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