Grant Analysis Report

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Detailed Analysis

Overall
65
C
SEO
70
25%
Performance
65
25%
Mobile
75
15%
Security
80
20%
seo
70
performance
65
mobile
75
security
80

SEO Analysis

Title Tag

Length: 92 characters (Optimal: 40-60)

Meta Description

Length: 160 characters (Optimal: 120-160)

H1 Headings

Found: 1 H1 tag

Heading Hierarchy

H1: 1, H2: 2, H3: 3

PageSpeed Insights (Placeholder)

Desktop Score 82
Mobile Score 68

* Placeholder data. Integrate PageSpeed Insights API for real metrics.

Meta Tags Analysis

Tag Status Details
TitleGood92 chars
DescriptionGood160 chars
H1Present1 found
H2-H6Present4 headings

Image Analysis

Alt Tags
Missing: 0 / Total: 2
File Sizes
Optimized: Yes
WebP Usage
Enabled
Lazy Loading
Implemented

Link Analysis

2
Total Links
1
Internal
1
External
0
Broken
Note: Broken link checking requires external API integration

Mobile-Friendliness

Viewport Set

Width=device-width, initial-scale=1

Mobile Friendly

Page passes mobile-friendly test

Tap Targets

Adequate spacing between links

Font Size

Readable without zooming

SSL/TLS Certificate

Status
Valid
Issuer
Let's Encrypt
Grade
A+

Security Headers

Header Status Grade
HSTSPresentA
CSPPresentA
X-Frame-OptionsPresentA
X-Content-TypePresentA
Referrer-PolicyPresentA
Permissions-PolicyMissingC

Technology Stack

CMS/Framework
Symfony
Server
Nginx
PHP Version
8.3
Database
PostgreSQL

DNS Records (Placeholder)

A Record
172.16.0.1
MX
mail.example.com
NS
ns1.example.com

* DNS data requires external API integration

WHOIS Data (Placeholder)

Registrar
Example Registrar
Registration Date
2020-01-01
Expiry Date
2027-01-01
Days Until Expiry
360

* WHOIS data requires external API integration

Core Web Vitals

LCP
3007ms
Needs Improvement
FID/INP
156ms
Good
CLS
0.000
Good
FCP
1415ms
Good

* Placeholder values. Integrate PageSpeed Insights API for real Core Web Vitals data.

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NLM Research Grants in Biomedical Informatics and Data Science (R01 Clinical Trial Optional)

Funding
$250,000
Deadline
--
Days
--
Hrs
--
Min
--
Sec
Mar 05, 2026
Posted Nov 25, 2024 (453 days ago)
Closes Mar 5, 2026 (in 11 days)

Grant Details

Opportunity Number
PAR-25-238
CFDA / ALN
93.879
Opportunity Category
Discretionary (D)
Funding Category
ED, HL
Funding Instrument
Grant (G)
Cost Sharing
No Cost Sharing (No)

Eligibility

State governments (00) County governments (01) City or township governments (02) Special district governments (04) Independent school districts (05) Public and State controlled institutions of higher education (06) Native American tribal governments (Federally recognized) (07) Public housing authorities / Indian housing authorities (08) Native American tribal organizations (11) Nonprofits having a 501(c)(3) status with the IRS (12) Nonprofits without 501(c)(3) status (13) Private institutions of higher education (20) For-profit organizations other than small businesses (22) Small businesses (23) Others (25)

Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.

Description

The National Library of Medicine (NLM) supports innovative research and development in biomedical informatics and data science. This funding opportunity focuses on biomedical discovery and data-powered health, integrating streams of complex and interconnected research outputs that can be translated into scientific insights, clinical care, public health practices, and personal wellness to ensure the research is scalable, reproducible, and generalizable. The scope of NLM's interest in these research domains is broad, with emphasis on new and innovative methods and approaches to foster data driven discovery in the biomedical and clinical health sciences as well as domain-independent, scalable, and reusable approaches to discovery, curation, analysis, organization, and management of health-related data and digital objects.
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