Welcome to the High-Value Data Network
We’re building a future where high-value data is equally discoverable, accessible, and usable by both humans and machines. To make this possible, we bring together data management platforms, modern APIs, and open source tools—unified by metadata standards and best practices grounded in the FAIR principles and related initiatives.
Our Vision
- Unleash machine actionable high-value data
- Build an open tools ecosystem that unifies data and metadata
- Empower human users and digital agents to discover, access, and use data
- Encourage the adoption of open standards and best practices
- Advance the rollout of well-documented, data-centric APIs
- Support data custodians in building modern infrastructure and publishing digital knowledge
- Unite technical and scientific communities to bridge the Dataverse and the Technoverve
- Make both data and API FAIR
- Reduce data and code wrangling
What is High-Value Data?
High-value data refers to datasets that, when made openly accessible and reusable, generate significant benefits for society, the economy, and the environment. They have a high potential to drive innovation, improve public services, increase transparency, inform evidence-based decision-making, and empower citizens.
Subjects include demographics, economic indicators, infrastructure, public services, environment, and government operations. Thousands of organizations and millions of individuals across sectors and borders rely on high-value data for decision-making, research, analysis, and numerous other purposes.
High-value datasets are often complex and require comprehensive documentation for discovery and use. Therefore, the availability of machine-actionable digital documentation (a.k.a.metadata) is critical.
Pillars
Our strategy is built upon the following pillars:
Data Artifex
An ecosystem of Python-based packages to ensure datasets can be accessed through FAIR open data APIs and is accompanied by relevant metadata.
Data & Machine Intelligence
A strategic approach bringing together machine actionable data, artificial intelligence, open tools, and open standards, in coordination with technology and data professionals.
High-Value Data Network
Hosted public services and tools to complement public data APIs with standards-based metadata, facilitate data users' common tasks, or integrate with AI.
Standards & Best Practices
Our work is guided by the FAIR principles and the Cross-Domain Interoperability Framework (CDIF) and leverages related domains standards, including:
Partnerships
This project is made possible with the support of our key strategic, technology, and data partners, including: