Visualising data for decision-makers and researchers

OCSI have been commissioned by the Department of Communities and Local Government to carry out a review of the many approaches to visualising data. The project will seek to understand the potential for visualisations in the analysis and communication of data, and provide guidance for national and local analysts on making best use of visualisation.

Work on the project will explore questions including:

  • What visualisations are being used by the public sector? What can we learn from elsewhere?
  • Is there a useful typology (classification) of visualisation techniques for public sector users?
  • How effective are particular types of visualisation in supporting public sector research and decision-making?
  • What are the most appropriate visualisation techniques for particular purposes?

The primary output from the project will be a web application, to help users identify strengths and weaknesses of visualisations for particular purposes, also linking to examples and supporting material.

The project/website will be an excellent opportunity to show case your own examples of good visualisation, and help contribute to common standards of good practice in the research community. If you have any examples, we would love to hear from you! Please email us on visualisation@ocsi.co.uk, or 01273 201 345.


Featured posts

Decorative image with the text "Community Needs Index"

Data analysis

What is the Scottish Community Needs Index?

OCSI created the first version of the Community Needs Index in partnership…
More

Decorative image with the text "Job vacancy"

OCSI news

Job Vacancy: User Support Officer

We are looking for a User Support Officer to join the team…
More

Decorative image with the text "Job vacancy"

OCSI news

Job Vacancy: Customer Support Manager

About OCSI Based in Brighton, we are a social research consultancy with…
More

Case studies
Data analysis
Featured
Indices of Deprivation
left behind neighbourhoods
OCSI news
Research Projects
Resources and data
Uncategorized