Backgound

To make full use of the data revolution, statisticians must take advantage of technological advancement and innovative approaches to data collection, analysis, dissemination, and communication to improve availability, accessibility, and usefulness of statistics as well as encourage its wider use.

 

The Partnership in Statistics for Development in the 21st Century (PARIS21) is committed to support statistical systems in improving their data dissemination and communication practices as a means of promoting evidence-based policy-making and decisions at the country level. With the aim of sustaining the capacity building program for statistical systems, PARIS21 partners with national and regional institutions in training activities on data communication and visualisation.

 

These trainings aim to promote better communication of statistics through effective data visualization. They serve as a venue for collaboration between statisticians and users to adopt data visualisation tools and ensure wider use in the statistical system. The content is tailored to local training requirements, based on a short pre-course survey. Participants are encouraged to share experiences and practices in data communication and visualization currently being undertaken by their offices.

 

Toolkit Contents

This toolkit, documents the PARIS21 Secretariat’s recommendations in undertaking data visualisation and communication trainings in a wide range of topics, formats, and for diverse audiences. Therefore, it also offers the option to customise delivery of appropriate content to various target groups. This is a living document and will be updated on an annual basis with feedback from training implementation and new resources.

 

The key concepts/competencies considered useful for successful data visualisation and communication can be broken down into the following four sets of domain expertise.

 

·         Data storytelling:

o   Narrative

o   Depth

o   Interactivity

·         Graphic design:

o   Design principles

o   Art elements

·         Statistical Literacy:

o   Data awareness

o   Statistical concepts

o   Interpretation skills

·         Software Skills:

o   Obtaining data

o   Understanding data

o   Delivering data

 

These competencies can be acquired through four training tracks tailored for specific target audiences, summarised in Table below.

 

Data Visualisation: Foundations
Data Communication: Journalist-Statistician Dialogue
Infographics: Information Design
Analystics: Interactive Graphs and Maps

Training track overview

Training tracks

Target audiences

Key concepts

1. Data Visualisation: Foundations

·         Journalists

·         Statisticians

·         Empirical researchers

·         Graphic designers

·         Data storytelling

·         Graphic design

·         Software Skills

·         Statistical Literacy

2. Communication: Journalist - Statistician Dialogue

·         Journalists

·         Statisticians

·         NSOs Communication Officers

·         Data storytelling

·         Statistical Literacy

3. Infographics: Information Design

·         Journalists

·         Statisticians

·         Students/ Empirical researchers

·         Graphic designers

·         Graphic design

·         Statistical Literacy

4. Analytics: Interactive graphs and maps

·         Statisticians

·         Empirical researchers

·         Software Skills

·         Statistical Literacy

 

The following figure maps the four tracks along two dimensions of “participant background” and “group composition”.

The Foundations track is designed for a generalist audience with participants from heterogeneous backgrounds, ranging from journalists to graphic designers and statisticians/ empirical researchers.

The Communication and Infographic tracks require a higher level of specialisation and bring together participants from 2-3 expert areas to establish a dialogue and mutual learning experiences.

Finally, the Analytics track is focused exclusively on statisticians and empirical researchers wishing to deepen their knowledge of data visualisation, report writing and workflow of statistical data analysis.

 

Course Levels and Audiences

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