Checking date: 06/05/2025 14:44:06


Course: 2025/2026

Metric Studies of Information
(17461)
Bachelor in Management of Information and Digital Contents (Study Plan 2017) (Plan: 376 - Estudio: 340)


Coordinating teacher: LASCURAIN SANCHEZ, MARIA LUISA

Department assigned to the subject: Library and Information Sciences Department

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
There are no prerequisites, but it is recommended to have passed the course Statistical Data Analysis.
Objectives
The aim of the course is to know the theoretical foundations and the basic concepts related to the metric studies of the information, as well as the methodology for its realization and the practical aspects that allow to propose analyses using the appropriate indicators and interpreting and contextualizing the results. Students will need to acquire a range of basic and transversal skills, as well as specific ones. Basic and transversal: Basic skills tahta llow them to collect and understand data relevant to making judgements, including scientific, social and ethical reflections, To know the models and methods of research in the area of digital information and the basic methodology of research of sources, analysis and understanding to achieve the integration of knowledge in academic work. Have the ability to organize and plan their work, taking the right decisions based on available information, gathering and interpreting relevant data to make judgments and critical thinking. Specifics: To apply knowledge of statistics and quantitative analysis of information. To understand and apply the main indicators of the metric studies of information, as well as of the economic and statistical area
Learning Outcomes
K1: Know the principles and values of democracy and sustainable development, in particular, respect for human rights and fundamental rights, gender equality and non-discrimination, the principles of universal accessibility and climate change. K3: Identify and analyze research methodologies and sources to develop academic work in the field of digital information management K4: Understand and apply the fundamental theories, instruments and techniques to manage information in digital media, covering its organization, control, communication and preservation K5: Know the fundamental theories, instruments and techniques for managing information in digital media, covering its organization, control, communication and preservation K7: Understand the fundamentals of statistics and quantitative analysis to interpret data, as well as the appropriate techniques for their collection and processing, understanding different structures, social contexts and user needs. S1: Plan and organize teamwork by making correct decisions based on available information and gathering data in digital environments. S2: Use the information by interpreting relevant data, avoiding plagiarism, and in accordance with the academic and professional conventions of the area of study, being able to evaluate the reliability and quality of said information. S3: Apply digital information management principles in different organizational environments, ensuring effective communication of processes and results to stakeholders. S5: Be able to design, manage, and operate with information through database systems, demonstrating skill in information retrieval and the use of query languages to meet complex information needs. S6: Be able to collect, process, cleanse and aggregate data by understanding the needs of users and organizations and how they need them. S7: Experiment with data visualization tools to represent information intuitively, properly presenting the results to different types of audiences. S8: Develop skills in the creation of digital content and multimedia editing by applying usability principles. S10: Apply statistical analysis techniques and metric studies to evaluate and measure the impact of data in digital environments. S12: Be able to advise on the definition of strategy and project management regarding tracking, indexing, content structuring, link building, etc C1: Know and be able to manage interpersonal skills on initiative, responsibility, conflict resolution, negotiation, among others, which are required in the professional field. C2: Be able to apply knowledge in a professional way in solving specific digital information management problems using the tools and techniques learned in the academic field C3: Demonstrate ability in the development and execution of digital content projects autonomously working in multidisciplinary teams. C4: Capacity for continuous autonomous learning that facilitates adaptation to new situations and the updating of knowledge in the field of digital information.
Description of contents: programme
1. introduction to the course. 2. Introduction to information metric techniques: basic concepts, definitions, objectives and links with other disciplines. 3. Analysis of the models involved in scientific communication. 4. Analysis of the regularities observed in the production and consumption of information. 5. Data sources for metric information studies. 6. Methodological aspects of metric information studies: indicators and technological tools. 7. Applications of information metric techniques in different environments of research, innovation and management.
Learning activities and methodology
- Acquisition of theoretical and practical knowledge (3 ECTS) through theoretical classes, teaching materials prepared by the teacher, online tutorials, specialized readings and commentary on the readings, as well as students' personal study. - Acquisition of skills and abilities (3 ECTS) in practices in which the knowledge acquired will be applied to analyse the regularities of the production and consumption of scientific information and scientific communication models through the critical use of indicators and their interpretation.
Assessment System
  • % end-of-term-examination/test 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40

Calendar of Continuous assessment


Extraordinary call: regulations
Basic Bibliography
  • EGGHE, L.; ROUSSEAU, R. . Introduction to informetrics: Quantitative methods in library, documentation and information science. Elsevier Science Publishers.. Elsevier Science Publishers.. 1990
  • GLÄNZEL, W.. BIBLIOMETRICS AS A RESEARCH FIELD A course on theory and application of bibliometric indicators. COURSE HANDOUTS. 2003
  • HICKS, D.; WOUTERS, P.; WALTMAN, L.; DE RIJCKE, S.; RAFOLS, I.. The Leiden Manifesto for research metrics. Nature, 520(7548), 429. 2015
  • REHN, C.; KRONMAN, U. Bibliometric handbook for Karolinska Institutet. Karolinska Institutet University Library. 2008. Bibliometric handbook for Karolinska Institutet. . Karolinska Institutet University Library. 2008
  • REHN, O.; DOLENC, J.; SCHNABL, J.. A brief visual history of research metrics. Infozine S. . 2016
  • TODESCHINI, R.; BACCINI, A.. Handbook of bibliometrics indicators: quantitative tools for studing and evaluating research. Jon Wiley & Sons. 2016
Additional Bibliography
  • ABELLA, A.; ORTIZ DE URBINA, M.; DE PABLOS-HEREDERO,C.. Indicadores de calidad de datos abiertos: el caso del portal de datos abiertos de Barcelona.. El profesional de la información, 27(2), 375-382.. 2018
  • ABRIZAH, A.; ERFANMANESH,M.; ROHANI, V. A.; THELWALL, M.; LEVITT,J.M.; DIDEGAH, F. . Sixty-four years of informetrics research: Productivity, impact and collaboration. Scientometrics, 101(1), 569-585. 2014
  • ALONSO AREVALO, L.; CORDÓN GARCÍA, J.A.; MALTRÁS BARBA, B.. Altmetrics: medición de la influencia de los medios en el impacto social de la investigación. . Gredos. 2016
  • BAR-ILAN, J. . Informetrics at the beginning of the 21st century¿A review.. Journal of informetrics, 2(1), 1-52.. 2008
  • BARNES, C. . The Use of Altmetrics as a Tool for Measuring Research Impact. . Australian Academic & Research Libraries, 46(2), 121-134. 2015
  • BJÖRNEBORN, L.; INGWERSEN, P. . Toward a basic framework for webometrics. . Journal of the Association for Information Science and Technology, 55(14), 1216-1227.. 2004
  • BRADFORD, S.C. . Documentation. . London: Crosby Lockwood.. 1948
  • CODINA, L. . Evaluación de la ciencia: tan necesaria como problemática. . El profesional de la información, 25(5), 715-719.. 2016
  • COLE, J. R.; COLE, S. . The Ortega hypothesis. . Science 178, p. 368.. 1972
  • COSTAS, R. . Comunicación científica en 2014. En torno a la ¿altmetría¿.. Anuario ThinkEPI, 1, 107-122. 2015
  • GORRAIZ, J. . Los mil y un reflejos de las publicaciones en el laberinto de espejos de las nuevas métricas. . El profesional de la información, 27(2), 231-236. 2018
  • HIRSCH, J. . Un índice bibliométrico para cuantificar la producción de un investigador individual. Proceedings of the National Academy of Sciences of the United States of America, 102 (46), 16569-16572 . . 2005
  • HOOD, W.; WILSON, C. . The literature of bibliometrics, scientometrics and informetrics. . Scientometrics, 52, 2, p.291-314. . 2001
  • MALTRÁS, B.. Los indicadores bibliométricos: fundamentos y aplicación al análisis de la ciencia. Trea. 2003
  • MOED, H. F. . Alternative approaches to the quantitative assessment of academic research. . El profesional de la información, 27(2), 237-240. 2018
  • NEDERHOF, A.J.. Bibliometric monitoring of research performance in the Social Sciences and the Humanities: A review. Scientometrics, Vol. 66, No. 1, 81-100. 2006
  • ROSSITER, M.W. . The Matthew Matilda Effect in Science. . Social Studies of Science, Vol. 23, p. 325-341. . 1993
  • SANZ-CASADO, E.; GARCÍA-ZORITA, C.; SERRANO-LÓPEZ, A. E.; EFRAÍN-GARCÍA, P; DE FILIPPO, D. . Rankings nacionales elaborados a partir de múltiples indicadores frente a los de índices sintéticos. Revista española de documentación científica, 36(3), 012. 2013
  • SANZ-CASADO, E.; GARCÍA-ZORITA, C.; SERRANO-LÓPEZ, A.; DE FILIPPO, D.; VANTI, N. . Desarrollo de indicadores para los nuevos hábitos de información y comunicación científica. Educación Médica, 17 (2): 45-50. 2016
  • URIBE-TIRADO, A.; ALHUAY-QUISPE, J. . Estudio métrico de ALFIN en Iberoamérica: de la bibliometría a las altmetrics. . Revista Española de Documentación Científica, 40(3), 180. 2017

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