Checking date: 16/05/2024

Course: 2024/2025

Information visualization
Master in Libraries, Archives and Digital Continuity (Plan: 500 - Estudio: 335)

Coordinating teacher: OLMEDA GOMEZ, CARLOS

Department assigned to the subject: Library and Information Sciences Department

Type: Compulsory
ECTS Credits: 3.0 ECTS


Requirements (Subjects that are assumed to be known)
There are no specific course prerequisites for this course
BASIC SKILLS CB9 That students know how to communicate their conclusions and the latest knowledge and reasons that support them to specialized and non-specialized audiences in a clear and unambiguous way GENERAL COMPETENCES CG 5 Recognize the growing importance of teamwork in the workplace and demonstrate adaptability and integration in different work environments, maintaining fluid relationships and communications. CG 9 Integrate knowledge, formulate judgments and communicate their conclusions, as well as the latest knowledge and reasons that support them, to specialized and non-specialized audiences in a clear and unambiguous way. CG 11 Ability to interpret, apply and innovate in context methodologies, technologies and new methods of analysis, treatment and information retrieval. SPECIFIC COMPETENCES CE 7 Representation of scientific knowledge and epistemic communities, using data mining and network analysis techniques. CE 9 Acquire the necessary knowledge to prepare the Master's Final Project, academic papers, reports or similar documents, in an appropriate way, both from the formal point of view and from the content perspective. LEARNING OUTCOMES 1. Apply the fundamental principles of data retrieval, through the manipulation of bibliographic databases of indexed scientific literature. 2. Constructs science maps and designs and implements projects to support research into a real community or issue.
Skills and learning outcomes
Description of contents: programme
1. Infovis overview. 2. Statistical visualisation types. 3. Topic visualizations. 4. Network visualizations.
Learning activities and methodology
TRAINING ACTIVITIES OF THE CURRICULUM RELATED TO SUBJECTS AF1 Individual work for the study of theoretical and practical materials developed and contributed by the teacher. AF2 Individual work for problem solving and case studies. AF3 Theoretical-practical classes. AF4 Tutorials. AF5 Group work. AF6 Active participation in forums enabled by the teacher in the virtual educational platform. AF7 Perform self-assessment test for content review. AF8 Synchronous online debates and colloquiums Code Activity Is it synchronous? Total hours Onsite Hours % Onsite Hours of synchronous interactivity AF1 NO 25,7 0 0 0 AF2 NO 20 0 0 0 AF3 SI 3 3 50 3 AF4 SI 3 0 0 3 AF5 NO 31 0 0 0 AF6 NO 1,3 0 0 0 AF7 SI 3 0 0 3 AF8 SI 3 0 0 3 TOTAL SUBJ.(COURSE) 90 3 50 12 TEACHING METHODOLOGIES MD1 Presentations in the teacher's class with support of computer and audiovisual media, in which the main concepts of the subject are developed and the bibliography is provided to complement the students' learning. MD2 Critical reading of texts recommended by the teacher of the subject: Press articles, reports, manuals and / or academic articles, either for later discussion in class, or to expand and consolidate the knowledge of the subject. MD3 Resolution of practical cases, problems, etc. Raised by the teacher individually or in a group. MD4 Exposition and discussion in class, under the moderation of the professor of subjects related to the content of the subject, as well as of practical cases. MD5 Preparation of individual and group work and reports. MD6 Reading of theoretical and practical teaching materials. TUTORIALS SCHEME The schedules of the tutorials, adjusted to the disposition by the University, can be consulted in the space of the course in the platform (Aula Global). They will include at least two sections, one for face-to-face and the other for online tutorials. In addition to these official tutorials, students can request and arrange with the teacher online or on-site tutorials outside those times.
Assessment System
  • % end-of-term-examination 50
  • % of continuous assessment (assigments, laboratory, practicals...) 50

Calendar of Continuous assessment

Basic Bibliography
  • Mazza, Ricardo. Introduction to Information visualization. Springer. 2009
  • Tufte, Edward R.. The visual display of quantitative information. 2nd ed.. Graphic Press. 2007
  • Yau, Nathan. Data points: visualization that means something. John Wiley & Sons. 2013
Additional Bibliography
  • Börner, K., Chen, C., & Boyack, K.W. (2003). Visualizing knowledge domains.. Annual Review of Information Science and Technology, 37(1), 179¿255.
  • Chen, Ch. (2017). Science mapping. A systematic review of the literature. . Journal of Data and Information Science, Vol. 2 No. 2, 2017 pp 1¿40.
  • Kim, M.Ch., Zhu, Y., Chen, Ch (2016). How are they different? A quantitative domain comparison of information visualization and data visualization (2000-2014). Scientometrics (2016) 107, pp. 123 165.
  • Nardi P, Di Matteo G, Palahi M, Scarascia Mugnozza G.(2016). Structure and Evolution of Mediterranean Forest Research: A Science Mapping Approach.. PLoS ONE 11(5): e0155016..
  • Olmeda-Gómez, C., Ovalle-Perandones, MªA., Perianes-Rodríguez, A. (2017). Co-word analysis and thematic landscapes in Spanish information science literature, 1985-2014. Scientometrics 113 (1), 195-217.
  • Olmeda-Gómez, C., Romá-Mateo, R., Ovalle-Perandones, Mª A. (2019). Overview of trends in global epigenetic research (2009-2017). Scientometrics, 119 (3), 1545-1574.
  • Vargas-Quesada; B; Chinchilla-Rodríguez, Z. & Rodriguez, N. (2017). Identification and Visualization of the Intellectual Structure in Graphene Research. Frontiers in Research Metrics and Analytics. Vol 2. , pp. 1-22..
  • White, H.D., & McCain, K.W. (1997).. Visualization of literatures. Annual Review of Information Science and Technology, 32, 99-168..
  • van Eck, N.J., Waltman, L (2014). Visualizing bibliometric networks. . En Measuring scholarly impact (285-320). Heidelberg: Springer

The course syllabus may change due academic events or other reasons.