01
Evidence before assertion
Claims should be supported by identifiable records, data or other verifiable evidence.
About us
Dataful is a Bangladesh-based public-interest data organisation. We collect, structure and analyse data, build evidence, investigate questions that matter, and create ways for people to explore and use what we find.
We believe data becomes valuable when it helps people understand what is happening, examine the evidence for themselves, and ask better questions.
Why Dataful exists
Public data often exists without being truly usable
Important public records are often scattered across documents, websites, databases and institutions. Even when they are technically public, they may be difficult to find, compare or understand.
Dataful works on that gap. We bring fragmented records together, structure them, document where they came from, and examine what the resulting evidence can establish.
That work can become a dataset, a research project, an investigation, a tracker, a portal or journalism through DataXplainer. The form changes depending on the question; the emphasis on evidence does not.
How we work
Questions lead the work
We do not begin with a format. We begin with something worth understanding, then identify the records, data and methods needed to examine it.
Question
Data
Evidence
Public use
Principles
What guides our work
These principles shape how we collect, analyse, publish and explain evidence.
02
Transparency
We explain sources, methods, assumptions and limitations so readers can understand how findings were reached.
03
Public interest
We prioritise questions where better evidence can improve public understanding, accountability or access to information.
04
Usability
Evidence should not stop at a report. Where possible, we make underlying data and records easier for others to explore and reuse.
05
Independence
Research and editorial findings should follow the evidence, regardless of partners, funders or institutional interests.
06
Correction
When evidence changes or we find an error, we update the record and make meaningful corrections visible.
What we do
Different outputs, one evidence process
Our work can take several forms depending on what the question requires.
Datasets, trackers and portals
We make public-interest records easier to explore, compare and reuse.
Research & evidence
We examine patterns, changes and relationships through structured analysis.
DataXplainer
We turn selected findings into public-interest journalism that explains what the evidence means.
Public-interest technology
We build platforms that keep evidence accessible beyond a single report or publication.
Training & methods
We share practical approaches to data, verification, research methods and evidence-led journalism.
People
The people behind the work
Dataful brings together a small core team and voluntary experts working across data, research, information integrity, media, human rights and technology.
Collaborations
Organisations we have worked with
Our collaborations span journalism, research, climate, information integrity and public-interest data.