For research, think tanks and academia

Don't just publish PDFs and CSVs.

Expand reach and impact of your research through digital experiences to propel policy discourse forward.

Be discoverable and usable, not just open and available

We went through our past projects and concluded that there are four solutions that researchers require to present their data:

Data cuts

The starting point of any line of inquiry is identifying the subset within the larger dataset that is relevant and actionable. This tool helps visitors decide what to focus on within your data.

Wikipedia-like pages

A district collector wants to see your data for her level of analysis i.e. her district. Provide pre-built Wiki style pages to targeted audience that package your data for a person, place, organisation or thing.


Provide a gallery of pre-built insights (visualisations) from your data so citizen researchers can quickly search for and use these FAQ insights in their articles.

Explore data

Some visitors do not want pre-packaged insights. Instead they want to query the data themselves to validate their hypothesis independently. This tool helps visitors do just that.

Quality control when crowdsourcing data

A big problem with crowdsourcing data is quality control. Profiler runs data cleanliness rules over data that is being contributed to test it for quality.


Trust in the gated institutional narrative is at an all time low. Citizens are now trying to build their own narrative; often without appropriate training and background reading. This makes them susceptible to misinformation and polarisation. In such an environment, evidence, data and research, if made accessible, can help citizens build up understanding faster.