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What is Mozilla Data Collective?

The Mozilla Data Collective is a pioneering platform designed to revolutionize the AI-data ecosystem by focusing on the needs of various communities. It empowers those who create and manage data to share their datasets in accordance with their own wishes, all while retaining ownership and control over who can access the information and under what conditions. Users have the capability to upload their datasets, choose from different licensing options—such as Creative Commons or custom licenses—set access parameters, and specify conditions for compensation or acknowledgment, whether they operate as individuals, cooperatives, or trusts. This initiative underscores the importance of ethical data management, transparency, and community empowerment, actively opposing exploitative data extraction methods and encouraging equitable participation. Featuring more than 300 high-quality datasets crafted by and for communities, the platform covers a diverse range of applications, including multilingual speech-data collections. Furthermore, it offers accessible tools like a public API, which helps developers seamlessly integrate these datasets into their applications, thus improving both accessibility and usability. The overarching goal of the Mozilla Data Collective is to cultivate a more equitable and inclusive landscape for data sharing and utilization, ultimately benefiting all stakeholders involved. Through this innovative approach, the platform hopes to inspire similar initiatives in the data community.

What is Bloomberg Enterprise Data Catalog?

The Bloomberg Enterprise Catalog presents an intricately organized repository of over 40,000 data fields, consolidating a diverse array of enterprise datasets including reference, regulatory, pricing, ESG, and alternative data, as well as real-time market feeds, fund specifics, and investment research, all accessible via a single, API-friendly source featuring customizable dashboards and integration connectors. This platform empowers users to perform natural-language and field-specific searches, subscribe to selected datasets, and visualize critical elements such as data lineage, usage metrics, and quality scores, backed by historical data that spans decades, thus facilitating back-testing, trend analysis, regulatory compliance, and model validation. Users can access the data through desktop interfaces, terminals, or RESTful APIs, which easily integrate with business intelligence tools, cloud storage solutions, and data lakes, offering a variety of delivery methods from tick-level pricing to broader aggregated statistics. To maintain high quality, the system implements stringent quality controls, standardized identifiers, and enterprise-grade service level agreements (SLAs) that ensure consistency, accuracy, and availability, thereby bolstering user trust in their data-driven decision-making. This holistic approach not only simplifies data management processes but also equips organizations with the tools necessary to fully leverage their data assets, empowering them to make informed strategic choices based on reliable insights. Such a robust framework ultimately enhances operational efficiency and drives competitive advantage in the marketplace.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mozilla

Date Founded

2005

Company Location

United States

Company Website

datacollective.mozillafoundation.org

Company Facts

Organization Name

Bloomberg

Company Location

United States

Company Website

www.bloomberg.com/professional/products/data/enterprise-catalog/

Categories and Features

Categories and Features

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