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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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning

Population Health Management (PHM)

Analytics
Cost-of-Care Analysis
Data Storage
EMR/EHR Integration
Patient Engagement
Patient Identification
Patient Risk Stratification
Patient-Reported Outcomes
Payment Bundling
Predictive Alerts
Test & Treatment Reminders
Utilization Tracking

Alternatives

Alternatives

Conseris Reviews

Conseris

Kuvio Creative
LexID Reviews

LexID

LexisNexis