Accessing Data in Systematic, Sustainable and Responsible Ways

Data Stewardship for an AI Era

Make data stewardship strategic with world-class training, frameworks, and a global community of practitioners.

8500+

learners

50+

faculty

Data Stewardship
Photo: Sascha Schürmann

Deep Dives

Coming Soon: Focused one-hour masterclasses for experienced stewards who want to specialize in specific topics. Register your interest and join our wait list for the launch in the coming months.

The Data Stewards Canvas | Stewarding Strategic Data Futures

Ask the Right Questions | Defining Data Questions and Scoping Use Cases

Don't Overcollect | Defining the Minimum Viable Data Points

Stewarding The Data Lifecycle Approach | Step-by-Step Methodology

Beyond the Traditional | Non-Traditional and Synthetic Data

The Missing R in FAIR | Preparing AI-Ready Data towards FAIR-R Principles

Exchange Network
Photo: Sebastian Pfütze

Exchange

A vibrant network for practitioners, alumni, and partners to stay engaged and share knowledge.

Datathons

Collaborative sprints where teams tackle data governance challenges using real datasets.

Events & Salons

Keynotes, fireside chats, and panels with global thought leaders in data governance and stewardship.

Trends to Watch

Quarterly briefings on AI governance, data sovereignty, new legal standards, and cross-sector collaborations.

For Organizations

Tailored offerings to institutionalize data stewardship across your organization.

Organization Workshop
Photo: Sascha Schürmann

Private Bootcamps

Cohort training customized for your specific agency or company needs.

Executive Briefings

90-minute strategy sessions designed for leadership teams.

Capability Roadmaps

6–12 week consulting engagements to establish stewardship functions.

What Our Alumni Say

Join hundreds of data stewards who have transformed their organizations.

Recent News & Updates

Data Stewardship Bootcamp Takes Off To Milan Lessons Learnt And An Engaged Community

2026-04-20T12:00:00

Data Stewardship Bootcamp Takes Off To Milan Lessons Learnt And An Engaged Community

The Data Tank in collaboration with Fondazione Cariplo, and as part of the Data Stewards Academy, completed, in the words of participants, a ‘unique’ one-month hybrid Data Stewardship Bootcamp in Milan. The bootcamp brought together and trained 23 participants from across civil society, social enterprises, and local and regional public and non-profit entities. Covering the entire Data Stewards Canvas via a step-by-step approach, the participants worked with several use-cases starting with identifying the demand for data and all the way to measuring impact for data-driven projects or services. The bootcamp combined lectures, including by affiliated guest faculty, with expert-led field visits to data driven institutions active in Milan. With three days in person in Milan and three online sessions, the bootcamp brought together local data and AI voices, but also managed to tap into global ones representing different contexts.

Paulina Behluli
Ai Summer Data Winter What The Ai Index Reveals And What It Doesnt Yet Measure

2026-04-09T12:00:00

Ai Summer Data Winter What The Ai Index Reveals And What It Doesnt Yet Measure

The AI Index Report 2026, released this week by Stanford HAI, offers a compelling portrait of what can only be described as an ongoing AI Summer. The indicators are striking: rapid adoption reaching more than half the population within three years, surging investment, near-human performance across multiple domains, and widespread deployment in science, medicine, and the economy. By nearly every conventional metric — capability, capital, and diffusion — AI is accelerating.  Image copyrights: Picture by Deborah Lupton / https://betterimagesofai.org / https://creativecommons.org/licenses/by/4.0/

Stefaan Verhulst
Data Governance In The Ai Era 10 Shifts Redefining Data Institutions And Practice

2026-04-07T12:00:00

Data Governance In The Ai Era 10 Shifts Redefining Data Institutions And Practice

As artificial intelligence systems rapidly evolve and start to impact nearly every sector of society, the conversation around governance has mainly focused on models (and their output): their transparency, fairness, accountability, and alignment. Yet this focus, while necessary, is incomplete. AI systems are only as reliable, equitable, and effective as the data (input) on which they are trained and operate.

Stefaan G. Verhulst