CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Informetric and Content Analysis BBY531 FALL-SPRING 3+0 E 7
    Learning Outcomes
    1-Evaluates the effects of documents, authors, journals and fields of study
    2-Contributes to the institutional decision-making process based on the conscious use of informetric tools and techniques
    3-Evaluates and communicates with individuals such as information seekers, collection managers, and information system developers
    4-Actively participates in current debates on the theory and practice of informetrics
    5-Performs informatics analyzes in organizations and institutions.
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)148112
    Assignments20000
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)2012525
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 6013535
    0000
    Total Workload (hours)   214
    Total Workload (hours) / 30 (s)     7,13 ---- (7)
    ECTS Credit   7
  • Course Content
  • Week Topics Study Metarials
    1 Kaynalarda enformetri R1, SR17
    2 Metric laws SR14, SR15
    3 Productivity and attribution analysis in research evaluation R1, SR5, SR11
    4 Printed material evaluation SR7, SR12
    5 Web evaluation SR7, SR9
    6 Methodological considerations in informetric analysis SR2, SR3, SR17
    7 Informometry processes and explanations I SR3, SR4, SR8, SR10
    8 Informometry processes and explanations II SR3, SR4, SR8, SR10
    9 Informometry processes and explanations III SR3, SR4, SR8, SR10
    10 Mapping R1, SR1
    11 Information retrieval information SR17
    12 Informometry in the arts and humanities SR5
    13 Webometry SR9
    14 Scimetry and librametry SR8, SR10
    Prerequisites -
    Language of Instruction Turkish
    Responsible Professor Hüseyin Odabaş
    Instructors

    1-)Profesör Dr. Hüseyin Odabaş

    Assistants -
    Resources R1. Busha, C. H., & Harter, S. P. (1980). Research methods in librarianship: Techniques and interpretation. New York: Academic Press.
    Supplementary Book SR1. Chen, C. (2003). Mapping scientific frontiers: The quest for knowledge visualization. New York: Springer. SR2. Egghe, L. (2005). Power laws in the information production process: Lotkaian informetrics. Amsterdam: Elsevier Academic Press. SR3. Egghe, L., & Rousseau, R. (1990). Introduction to informetrics: Quantitative methods in library, documentation and information science. Amsterdam: Elsevier. SR.4 Egghe, L., & Rousseau, R. (2001). Elementary statistics for effective library and information service management. London: Aslib-IMI. SR5. Garfield, E. (1979). Citation indexing: Its theory and application in science, technology, and humanities. New York: John Wiley. SR6. Glänzel, W. (2003). Bibliometrics as a research field: A course on theory and application of bibliometric indicators. SR7. Godin, B. (2005). Measurement and statistics on science and technology: 1920 to the present. London: Routledge. SR8. Hernon, P. (1989). Statistics for library decision making: A handbook. Norwood, NJ: Ablex. SR9. Huberman, B. A. (2001). The laws of the Web: Patterns in the ecology of information. Cambridge, MA: MIT Press. SR10. Leydesdorff, L. A. (2001). The challenge of scientometrics: The development, measurement, and self-organization of scientific communications (2nd ed.). Boca Raton, FL: Universal Publishers. SR11. Manning, C. D., Raghavan, P., & Schütze, H. (2008). Introduction to information retrieval. Cambridge: Cambridge University Press. SR12. Merton, R. K. (1973). The sociology of science: Theoretical and empirical investigations. Chicago: University of Chicago Press. SR13. Moed, H. F., Glänzel, W., & Schmoch, U. (Eds.). (2004). Handbook of quantitative science and technology research: The use of publication and patent statistics in studies of S&T systems. Dordrecht: Springer. SR14. Narin, F. (1976). Evaluative bibliometrics: The use of publication and citation analysis in the evaluation of scientific activity. Cherry Hill, NJ: Computer Horizons. SR15. Noyons, E. C. M. (1999). Bibliometric mapping as a science policy and research management tool. Leiden: DSWO Press, University of Leiden SR16. Powell, R. R., & Connaway, L. S. (2004). Basic research methods for librarians (4th ed.). Westport, CT: Libraries Unlimited. van Raan, A. F. J. (Ed.). (1988). Handbook of quantitative studies of science and technology. Amsterdam: North-Holland. SR17. Wolfram, D. (2003). Applied informetrics for information retrieval research. Westport, CT: Libraries Unlimited.
    Goals The aim of this course is to prepare students for the practice of expertise in designing, applying and evaluating scientific products. In addition, this course aims to develop students` practical applications of using simple statistical methods for classifying, calculating, explaining and comparing information. In addition, students learn theoretical knowledge about metric laws in this course.
    Content This course is an introduction to the methodology and methods of informatics research. Informometry is the field of study consisting of quantitative methods that we use to analyze the decisions of authors and readers of documents such as books, journal articles and web pages. Informetric analysis is a very useful method if, for example, we are going to reward a certain group of authors or recommend certain documents, or if we want to understand the structure of the networks that occur within the documents. Universities use informatics techniques to evaluate support or termination of some initiatives. Similarly, libraries use bibliographic techniques for collection management and information retrieval activities, and scholars use informatics techniques to map the intellectual structures of their field of study.
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Has expert level theoretical and practical professional knowledge and they keep developing it. 3
    2 Identifies and defines the main problems and causes in the field of interest and document management. -
    3 Has advanced knowledge of scientific research methods and techniques. 4
    4 Analyzes, interprets, evaluates, and uses the theoretical and applied knowledge acquired in the field of information and records management analytically and systematically. 4
    5 Uses all kinds of research methods related to research in the field of information and records management at an advanced level. -
    6 Independently or as a team member, it identifies the problems in the field of information and document management, produces solutions, makes the solution work and applies it when necessary. -
    7 Evaluates knowledge and skills in the field of information and records management with a critical approach and directs learning needs. -
    8 Follows, evaluates, and interprets current developments in the field of information and records management at national and international level. -
    9 Communicates and shares research results in written, verbal, and visual forms. 4
    10 Communicates verbally and in writing by using a foreign language effectively. -
    11 Uses information and communication technologies at an advanced level. 3
    12 Acts in accordance with social, scientific, and ethical values in all processes of research related to the field of information and records management and uses its knowledge and skills for scientific and social contribution. -
    13 Converts the theoretical knowledge gained in graduate courses into practice. -
    14 Has the ability to develop itself by identifying learning needs in line with current needs. -
    15 Develops itself by determining its learning needs in line with the needs brought by its conditions. -
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