Science communication

Year
0
Academic year
2026-2027
Code
02054390
Subject Area
Other
Language of Instruction
Portuguese
Other Languages of Instruction
English
Mode of Delivery
Face-to-face
ECTS Credits
6.0
Type
Elective
Level
2nd Cycle Studies - Mestrado

Recommended Prerequisites

English language proficiency level C1

Teaching Methods

Oral presentation, theoretical exposition, analysis and discussion of texts, use of platforms (e.g. Publons, Winnower, Open Science Framework, Zenodo), directories (e.g. DOAJ) and institutional and thematic repositories.

Learning Outcomes

a) To have an overview of the science communication cycle and the scientific and technological objects it produces;

b) Understand the changes in the way science is communicated;

c) Understand how research can benefit from Open Science;

d) Be able to determine the most appropriate route for Open Access publication;

e) Understand the importance of research data and the issues of sharing and reuse;

f) Understand the contribution of open data to Citizen Science

g) Understand the main issues relating to intellectual property;

h) Be able to devise strategies to increase the visibility of research

i) Understand the limitations of conventional metrics and the role of new generation metrics.

Work Placement(s)

No

Syllabus

1 Science as a communication system

1.1 The emergence of scientific journals

1.2 Representing the flow of scientific information

1.3 Scientific arbitration processes and models

 Openness in science communication

2.1 The emergence of Open Access

2.2 Open Access publication models

2.3 Creative Commons licenses

3 Research data

3.1 Policies and initiatives that support the sharing of research data. The FAIR principles.

3.2 Data sharing and data reuse in different disciplines

3.3 Open data and citizen science

4 Research evaluation

4.1 Epistemic cultures: ways of constructing science

4.2 The definition of research impact and its measurement

4.3 New generation metrics

5. Disseminating research

5.1 Science communication models

5.2 Social Networks and Academic Social Networks

Assessment Methods

Assessment
Research work: 40.0%
Synthesis work: 60.0%

Bibliography

Biagioli, M., & Galison, P. (2014). Scientific Authorship: Credit and Intellectual Property in Science. Routledge.

Biswas-Diener, R., & Jhangiani, R. (2017). Open: The Philosophy and Practices that are Revolutionizing Education and Science. Ubiquity Press. https://library.oapen.org/handle/20.500.12657/31551

Borgman, C. L. (2012). The conundrum of sharing research data. Journal of the American Society for Information Science and Technology, 63(6), 1059–1078. https://doi.org/10/gf6h8z

Borrego Huerta, Á. (2017). La revista científica: Un breve recorrido histórico. Em E. Abadal (Ed.), Revistas científicas: Situación actual y retos de futuro (pp. 19–34). Edicions de la Universitat de Barcelona. https://dialnet.unirioja.es/servlet/articulo?codigo=6141780

Cabrera, D., Vartabedian, B. S., Spinner, R. J., Jordan, B. L., Aase, L. A., & Timimi, F. K. (2017). More Than Likes and Tweets: Creating Social Media Portfolios for Academic Promotion and Tenure. Journal of Graduate Medical Education,