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Average Ratings 0 Ratings
Description
The Mozilla Data Collective serves as a platform aimed at transforming the AI-data landscape by prioritizing the needs of communities. It empowers data creators and caretakers to share their datasets according to their preferences while maintaining ownership and control over access and conditions. Users are able to upload datasets, select licenses—whether Creative Commons or custom options—define access guidelines, and stipulate requirements for compensation or acknowledgment, all while managing datasets as individuals, cooperatives, or trusts. This platform places a strong emphasis on ethical management, transparency, and community empowerment, standing in opposition to exploitative data extraction practices and fostering fairer participation. With a collection of over 300 high-quality datasets that are both created by and for communities, the platform spans a variety of applications, including multilingual speech-data collections. Additionally, it provides user-friendly tools, such as a public API, to facilitate the integration of these datasets into various applications, thereby enhancing accessibility and usability for developers. Ultimately, Mozilla Data Collective aims to create a more just and inclusive environment for data sharing and usage.
Description
LexisNexis Health Equity and Inclusion Insights offers an extensive and actionable dataset focused on the social determinants of health (SDoH) at the individual level. This valuable information empowers healthcare organizations to enhance population health, advance clinical research, and pursue initiatives aimed at promoting health equity. By highlighting obstacles to care, the solution aids in refining care delivery and fostering more equitable healthcare choices, alongside developing diverse clinical research programs. It supplies de-identified datasets that can be integrated with other such datasets through LexisNexis Gravitas, a tokenization tool that utilizes a referential data layer for accurately matching de-identified records from various sources. Achieving health equity hinges on the ability to pinpoint health barriers and predictors of adverse health outcomes, allowing for targeted interventions that can positively impact individual patients. Ultimately, this focus on precision and actionable insights can lead to improved health outcomes across entire communities.
API Access
Has API
Yes
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Mozilla
Founded
2005
Country
United States
Website
datacollective.mozillafoundation.org
Vendor Details
Company Name
LexisNexis
Country
United States
Website
risk.lexisnexis.com/products/health-equity
Product Features
Product Features
Clinical Trial Management
21 CFR Part 11 Compliance
No
Document Management
No
Electronic Data Capture
No
Enrollment Management
No
HIPAA Compliant
No
Monitoring
No
Patient Database
No
Recruiting Management
No
Scheduling
No
Study Planning
No
Population Health Management (PHM)
Analytics
No
Cost-of-Care Analysis
No
Data Storage
No
EMR/EHR Integration
No
Patient Engagement
No
Patient Identification
No
Patient Risk Stratification
No
Patient-Reported Outcomes
No
Payment Bundling
No
Predictive Alerts
No
Test & Treatment Reminders
No
Utilization Tracking
No