Registry

Module Specifications

Archived Version 2022 - 2023

Module Title
Module Code
School
Online Module Resources
NFQ level	8	Credit Rating	5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Description

The aims of this module are to introduce students to theory, tools and practical skills in data visualisation so that they can take a data set and transform it into impactful infographics and visuals that tell a story to either expert or non-expert audiences. Particular emphasis will be on developing practical skills to clearly communicate research findings with both static and interactive graphics to the ‘lay’ (non-expert) public and also patients. Communication skills can include writing for the non-expert audience e.g. feature writing, and science blogging; or broadcasting skills can include podcasting.

Learning Outcomes

1. Critically consider interdisciplinary theoretical approaches to data visualisation.
2. Identify and apply key principles of open and reproducible science
3. Create a reproducible artefact such as an interactive image, or an interactive application, or an open education resource in research and statistics.
4. Draft a piece of journalistic writing communicating research findings for the non-expert audience using images.
5. Create a visual production communicating research findings for the non-expert audience using graphics.
6. Identify and use basic data analysis and visualisation tools to describe and interpret data.
7. Extract and interpret data from existing datasets

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	20	Based on indicative content and learning outcomes; Asynchronous active listening and engagement with lecture material.
Workshop	18	Moderator and student-led skills based workshops; synchronous; every two weeks.
Class Presentation	4	Conference Style Presentation and Science Communication Event
Independent Study	50	Self-directed learning including Assessment preparation
Fieldwork	33	Developing and Communicating Graphics - Preparation and Training
Total Workload: 125

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Introduction to data visualisation and science communication theory
Science in public Science in media Data Visualisation

Open and Reproducible Science

Static and Interactive visualisation with impact

Writing for the non-expert audience
Feature writing News reporting Writing for new media

Broadcasting to the non-expert audience
Journalistic research skills Interview skills Audio production skills

Assessment Breakdown
Continuous Assessment	%	Examination Weight	%

Type	Description	% of total	Assessment Date
Course Work Breakdown

Reassessment Requirement
Resit arrangements are explained by the following categories; 1 = A resit is available for all components of the module 2 = No resit is available for 100% continuous assessment module 3 = No resit is available for the continuous assessment component
Unavailable

Indicative Reading List

Peter Stewart: 2010, Essential Radio Skills: How To Present A Radio Show, A&C Black, 1408121794
David E. Sumner and Holly G. Miller.: 2013, Feature & magazine writing, ; Wiley-Blackwell, Chichester, West Sussex, UK, 1118305132
William Zinsser: 2016, On writing well, HarperCollins, New York, 9780060891541
Healy, Kieran: 0, Data Visualisation (online), https://socviz.co/lookatdata.html,
National Academy of Sciences: 0, Communicating Science Effectively: A Research Agenda, https://nap.nationalacademies.org/catalog/23674/communicating-science-effectively-a-research-agenda,
Craig Cormick: 0, The Science of Communicating Science, 148630981X
Merlin Sheldrake: 2020, Entangled Life, Random House, 0525510311

Other Resources

None

Programme or List of Programmes

Archives: