Information Metrics

Recommended Prerequisites

N.A.

Teaching Methods

Classes have a theoretical and practical component, and will be complemented by tasks made available in the UCStudent platform. Work groups will be formed to explore specific topics. These methods are designed to encourage students to identify and discuss relevant issues related to the syllabus topics. The final grade is the result of the sum of the following elements: attendance, participation in class, assignments and final exam.

Learning Outcomes

This course has a theoretical and practical nature. Its general goal is to enable students to understand the process of knowledge communication and to raise their awareness about the importance of bibliometrics in the evaluation of academic production and the management of information centers. Its specific aims are to enable students to: acquire fundamental theoretical knowledge on information metrics; identify the main bibliometric sources for data collection and enhancement; understand the theoretical and practical aspects of bibliometric laws involved in the development of knowledge, the obsolescence of academic literature and the productivity of researchers; understand the applications of information metrics in the evaluation of scientific and technological activity and the management of information centers.

Work Placement(s)

No

Syllabus

1. Science and the development of documentation
2. Bibliometrics: Introduction and basic concepts
3. Historical evolution and current situation of research in Bibliometrics 4. Information sources of bibliometric interest
5. Bibliometric laws
6. New web based metrics
7. Metrics applications.

Head Lecturer(s)

Maria Manuela Tavares de Matos Cardoso

Assessment Methods

Assessment
Attendance and participation : 10.0%
Research work: 40.0%
Frequency: 50.0%

Bibliography

Ball, R. (2018). An introduction to bibliometrics: new developments and trends. Elsevier - Chandos Publishing.
Bando, K. (2012). Altmetrics: alternative ways of measuring scholarly impact based on the social web. Journal of Information Processing and Management, 55(9), 638-646.
Martín-Martín, A., et al. (2021). Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations. Scientometrics 126, 871-906.
Moskovkin, V. M., et al. (2021). International movement of open access to scientific knowledge: A quantitative analysis of country involvement. The Journal of Academic Librarianship, 47(1), 102296.
Grácio, M. C. C. (2020). Estudos métricos da informação. In: Análises relacionais de citação para a identificação de domínios científicos: uma aplicação no campo dos Estudos Métricos da Informação no Brasil. Marília: Oficina Universitária; São Paulo: Cultura Académica, pp. 19-75.