Checking date: 18/05/2022

Course: 2022/2023

Metric Studies of Information
Study: Bachelor in Management of Information and Digital Contents (340)

Coordinating teacher: SANZ CASADO, ELIAS

Department assigned to the subject: Department of Library Science and Documentation

Type: Compulsory
ECTS Credits: 6.0 ECTS


Requirements (Subjects that are assumed to be known)
Having completed the course in Statistical Analysis of Data
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
Skills and learning outcomes
Description of contents: programme
0. Course presentation. 1. Introduction to the metric technologies of information: basic concepts, definitions, aims and entails with other disciplines 2. Methodological aspects 1: sources of application information in metric studies of information. 3. Methodological aspects 2: metric information indicators and technological tools. 4. Analysis of the regularities observed in the production and consumption of information. 5. Analysis of the models involved in the scientific communication. 6. Applications of the metric technologies of information in different environments of the investigation, the innovation and the 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 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Calendar of Continuous assessment
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.