Democratise data to

unlock value for all

Democratise data to

unlock value for all

We enable institutions to harmonise data,

build trust for sharing across silos, optimise their

data workflows with AI-ready tools & playbooks and

make these processes repeatable at scale

We enable institutions to harmonise data,build trust for sharing across silos, optimise their data workflows with AI-ready tools & playbooks andmake these processes repeatable at scale

Our Work

Assessing and Building AI Readiness

AI readiness begins with individual datasets, as organisational readiness is ultimately built dataset by dataset.

Four questions determine whether a dataset is AI-ready:

Our Work

Assessing and Building AI Readiness

AI readiness begins with individual datasets, as organisational readiness is ultimately built dataset by dataset.

Four questions determine whether a dataset is AI-ready:

Can it be found?

Can it be read?

Can it be found?

Can it be read?

Can it interoperate?

Can it be trusted?

Can it interoperate?

Can it be trusted?

Together, these provide a simple framework for assessing whether data is discoverable, machine-readable, connected through common standards, and supported by sufficient metadata and provenance.

Together, these provide a simple framework for assessing whether data is discoverable, machine-readable, connected through common standards, and supported by sufficient metadata and provenance.

DATA DHARA - 7 Stage Data Lifecycle

DATA DHARA - 7 Stage Data Lifecycle

1

Identified

Datasets get identified and listed.

1

Identified

Datasets get identified and listed.

2

Described

Datasets get clear descriptions with metadata.

2

Described

Datasets get clear descriptions with metadata.

3

Interoperable

Different systems recognise the same thing.

3

Interoperable

Different systems recognise the same thing.

4

Catalogued

Data is discoverable and queryable.

4

Catalogued

Data is discoverable and queryable.

5

Governed

Access controlled, consent enforced.

5

Governed

Access controlled, consent enforced.

6

Accessible

AI can pull the exact piece it needs.

6

Accessible

AI can pull the exact piece it needs.

7

AI-ready

Safe for AI application and automation.

7

AI-ready

Safe for AI application and automation.

What this life-cycle is useful for is diagnosis: it tells a team not only how ready a dataset is overall, but exactly where to focus next. We work through three connected efforts.

What this life-cycle is useful for is diagnosis: it tells a team not only how ready a dataset is overall, but exactly where to focus next. We work through three connected efforts.

Systems Thinking

Diagnosing the

Data Journey

We enable you to map where data and data flows are blocked across the Prepare → Action journey. We help you diagnose which stage is holding you back — and what it will take to move forward.

Systems Thinking

Diagnosing the

Data Journey

We enable you to map where data and data flows are blocked across the Prepare → Action journey. We help you diagnose which stage is holding you back — and what it will take to move forward.

Co-ordination & trust

Building Institutional

Readiness

Making data work across institutions is not only a technical problem. We work on the coordination, trust mechanisms, and operating models that make it possible.

Co-ordination & trust

Building Institutional

Readiness

Making data work across institutions is not only a technical problem. We work on the coordination, trust mechanisms, and operating models that make it possible.

Open toolkits

Tools & Playbooks

That Transfer

Efforts 1 and 2 together produce two things: a technical toolkit and a coordination playbook. Both are designed to transfer. The next institution doesn't start from zero. This is how pilots become a pattern.

Open toolkits

Tools & Playbooks

That Transfer

Efforts 1 and 2 together produce two things: a technical toolkit and a coordination playbook. Both are designed to transfer. The next institution doesn't start from zero. This is how pilots become a pattern.

Our Offerings

Four artifacts from the Data DHARA Pathway

Our Offerings

Four artifacts from the Data DHARA Pathway

For Data Custodians

Know Your Data Set (KYDS)

Simple form for data custodian

Profiles and characterises a raw dataset so its trustworthiness is known before anything is built on it.

For Data Custodians

Know Your Data Set (KYDS)

Simple form for data custodian

Profiles and characterises a raw dataset so its trustworthiness is known before anything is built on it.

Convergence

DATA DHARA Toolkit

7-stage DATA DHARA lifecycle

Carries a dataset through a 7-stage lifecycle, ending in a catalogue

Convergence

DATA DHARA Toolkit

7-stage DATA DHARA lifecycle

Carries a dataset through a 7-stage lifecycle, ending in a catalogue

Convergence

DATA DHARA Sandbox

Where the journeys meet

Governed access point where a ready dataset and a scoped request meet and the build starts.

Convergence

DATA DHARA Sandbox

Where the journeys meet

Governed access point where a ready dataset and a scoped request meet and the build starts.

Know Your Use Case

Know Your Use Case (KYUC)

Guided intake for data requests

A self-serve, minutes-long way for a use case idea to become a scoped,

(Work in progress)

Know Your Use Case

Know Your Use Case (KYUC)

Guided intake for data requests

A self-serve, minutes-long way for a use case idea to become a scoped,

(Work in progress)

The Data Bulletin

The Data Bulletin

Perspectives from the EkStep Foundation team and our partners across government and research institutions, on data readiness, institutional capacity, and the work of building public data India can rely on.

Perspectives from the EkStep Foundation team and our partners across government and research institutions, on data readiness, institutional capacity, and the work of building public data India can rely on.

From Silos to Systems

What DHIS2, Digital Earth Africa, and ULIP Reveal About Unlocking Public Value at Scale

Purpose Built: Turning Fragmented Government Data into AI-Ready Infrastructure

A DPI Framework for Governed, AI-Ready Data Access in India

Policy Meets the Proprietor

Amodini A P, AI Research Fellow (May-Dec 2025), People+ai, EkStep Foundation

A Decentralized Agentic Architecture for India's 110 Million MSMEs

The Practical Path to Viksit Bharat

Shri P. R. Meshram, Director General (Data Governance), National Statistics Office of India

How NSO's eSankhyiki MCP Server Is Making Official Statistics Instantly Usable

The GIVE Framework for Public Data

Shalini Kapoor, Chief Strategist (Data & AI), EkStep Foundation

A Blueprint for a Fair and Inclusive Data Economy in the Age of AI, where value must flow both ways

From Silos to Systems

What DHIS2, Digital Earth Africa, and ULIP Reveal About Unlocking Public Value at Scale

Purpose Built: Turning Fragmented Government Data into AI-Ready Infrastructure

A DPI Framework for Governed, AI-Ready Data Access in India

Policy Meets the Proprietor

Amodini A P, AI Research Fellow (May-Dec 2025), People+ai, EkStep Foundation

A Decentralized Agentic Architecture for India's 110 Million MSMEs

The Practical Path to Viksit Bharat

Shri P. R. Meshram, Director General (Data Governance), National Statistics Office of India

How NSO's eSankhyiki MCP Server Is Making Official Statistics Instantly Usable

The GIVE Framework for Public Data

Shalini Kapoor, Chief Strategist (Data & AI), EkStep Foundation

A Blueprint for a Fair and Inclusive Data Economy in the Age of AI, where value must flow both ways