Data Journalism and Information Management

Code:

CC070

Acronym:

JDGI

Keywords
Classification	Keyword
OFICIAL	Information Science

Instance: 2025/2026 - 1S

Active?	Yes
Responsible unit:	Department of Communication and Information Sciences
Course/CS Responsible:	Bachelor in Communication Sciences

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
CC	36	Study plan	3	-	6	41	162

Teaching language

Portuguese

Objectives

Understand and develop critical skills and abilities in the use of data

Knowing the success cases in data journalism

Knoing a list of sources with free access

Knowing how to select and write pieces with numbers

Working with numbers ethically and responsibly

Learning outcomes and competences

Working method

Presencial

Program

Introduction to Data Journalism. What is data journalism? Why should journalists use data? Why is data journalism important?

The data in the newsroom. Where do we get the data from? What did we learn?

Case studies. Download and prepare the data. Create a database.

Get Data. Simplify the investigation. Tools. Sources.

Understand the data. Acquire knowledge in data. How was the data collected? What is there to learn? Assessment of the credibility of the information.

Development of news with numbers.

Publication and issuance of Data. Presenting data to the public. To view or not to view? 

Mandatory literature

Neto, Ivo; As multiplataformas informativas: os desafios que as redes de media social e os periféricos móveis colocam no campo do jornalismo. (Doutoramento), Universidade do Minho, 2018
Hahn, Oliver, & Stalph, Florian; Digital Investigative Journalism: Data, Visual Analytics and Innovative Methodologies in International Reporting, Palgrave , 2018
Touriño, Alberto Cairo. ; Nerd Journalism: How Data and Digital Technology Transformed News Graphics, Universitat Aberta de Catalunya, 2017

Teaching methods and learning activities

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Participação presencial	15,00
Trabalho laboratorial	35,00
Trabalho prático ou de projeto	50,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Elaboração de projeto	40,00
Estudo autónomo	40,00
Frequência das aulas	41,00
Trabalho laboratorial	41,00
Total:	162,00

Eligibility for exams

Lab assessments (35%) + Final Project (50%) + Paticipation (15%)

In each of the three evaluation components the minimum grade to obtain shoul be ≥ to 10.

Calculation formula of final grade

Lab assessments (35%) + Final Project (50%) + Paticipation (15%)