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International Conference on Emerging Digital Library Platforms: Shaping Digital Transformation and National Data Exchange at Indian Statistical Institute, Bangalore
August 9, 2022 to August 12, 2022
Advanced Training programme on Bibliometrics and Research Output Analysis during 18 - 22 July 2022
Event Details
Time: July 18, 2022 at 10pm to July 22, 2022 at 7pm
Location: Information and Library Network Centre
City/Town: Gandhinagar
Event Type: training, programme
Latest Activity: May 26
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Event Description
INFLIBNET is organizing a five days Advanced Training programme on Bibliometrics and Research Output Analysis during 18 - 22 July 2022. The programme will provide the participants a sound overview of bibliometric methods, data sources, data processing, performance indicators and tools & techniques related to bibliometric analysis and mapping. It will provide awareness about the most commonly used databases, how to build -up relevant indicators and how to interpret the data. Special emphasis will be given to indicators used in research evaluation. Theoretically imparted knowledge will be consolidated with demonstration on various tools such as Bibliometrix, Biblioshiny, VOSviewer, etc
Following topics will be covered in the workshop:
-Overview of Bibliometrics
-Bibliometrics Elements and Laws
-Mathematical Foundation of Bibliometrics/ Scientometrics
-Bibliometrics Tools and Techniques such as Bibliometrix, Biblioshiny, VOSviewer, etc.
-Bibliometric Methods for Subject Delineation
-Measuring Research Impact
-Advanced Bibliometric Methods for Evaluation, Ranking and Mapping of Research
-Bibliometric Indicators and Rankings of University Research Performance
-Clarivate Analytics’ Web of Science and Elsevier’s Scopus Databases
-Altmetrics
For more information see brochure: https://hrd.inflibnet.ac.in/docs/Bibliometrics%20and%20Research%20Output%20Analysis_18_22_2022.pdf
Comment Wall
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Comment by Raj Tilak on May 26, 2022 at 12:13
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First, you can notify the experts who are going to handle the course. The content of the program looks more theoretical. Currently, most bibliometric studies are very conventional and marred by stereotyped models. How to take new or novel studies in bibliometrics? How do you generate high-level papers? A mere application of the mapping software to the traditional data has no value. The presentation of data in the form of visualization will not help.
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