Thursday, January 2, 2025

New Issue Online | Journal of Data Science, Informetrics, and Citation Studies, 2024, 3(3)

Journal of Data Science, Informetrics, and Citation Studies
Vol 3, Issue 3, 2024

Table of Contents

Editorial

Exploring the Frontiers of Data Science and Bibliometrics | KK Mueen Ahmed, Anup Kumar Das

Pakistan's Contribution to COVID-19 Research: A Scientometric Analysis of Publications from 2020-2023 | Brij Mohan Gupta, Raju Vaishya, Ghouse Modin Nabeesab Mamdapur, Kesturu Sabil Ali, Mueen Ahmed K. K.

Journal of Documentation: A Bibliometric Study of Papers Published from 2000 to 2023 | Kailash Chandra Garg, Suresh Kumar, Rahul Kumar Singh

Discovering Invisible Scholarship of Electronic Theses and Dissertations (ETDs): A Critical Analysis | Manu Talagavadi Raju, Nabi Hasan

Bibliometrics Research in India: A Scientometric Assessment of High-Cited Publications During 1994-2023 | S. M. Dhawan, B. M. Gupta, Ghouse Modin N. Mamdapur, Rajpal Walke, Madhu Bansal

Bridging Perspectives between Bibliometric Analysis and Data Analytics in the Realm of Literature Study: A Case Study Exploration | Prajna Ghosh, Moksh Rajpal, Vinay Dwivedi, Md Azizur Rahman

A Bibliometric Analysis of Purchase Intention and Brand Evaluation, 1988–2024 | LingLing Wu, Wasanthi Madurapperuma, Ravi Dissanayake

Dr. Abed Chaudhury, Bangladeshi-Australian Gene Scientist: A Scientometric Portrait | Susanta Koley

Unravelling the Movements in the Transgender Health Research of the Past 20 Years | Hasbi Alikunju

Documentation of Indigenous Medicinal Knowledge of Select Tribal Communities of West Bengal | Bidyarthi Dutta, Souvik Gantai, Sukumar Hansda, Anup Kumar Das

Leveraging Google Web Stories: A Dynamic Tool for Libraries to Engage and Educate | Shankaragouda Gundakanal, Manjunath Kaddipujar

Unlocking Research Potential with Pure Portal: A Review of Elsevier's RIMS Solution | Chaman Sab M, Mueen Ahamed KK, Vitthal Bagalkoti

Mapping Doctoral Research in Library and Information Science in India, 1950-2023 | Rima Hazarika

Transcending the Indic Style of Leadership | AK Das

Verghese Kurien: The Maker of India's Self-Sufficient Dairy Sector | AK Das

Exploring Top 10 Forts of Delhi | AK Das

Energising India's Green Future | AK Das              


Journal of Data Science, Informetrics, and Citation Studies
About: Journal of Data Science, Informetrics, and Citation Studies (J Data Sci. Info. Citation Studies) ISSN: 2583-5440 (Online) is a Diamond Open Access journal that publishes peer-reviewed articles online. It is peer-reviewed in a double-blind manner. The journal publishes articles in all of scientometrics' subfields, including patent studies (techometrics) and web-based studies (webometrics). Additionally, it publishes articles that analyse country/regional/sectoral/sectoral research, innovation, and entrepreneurial ecosystems using science-technology-innovation indicators. Frequency: Triannual (3 issues per year).
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Join NPTEL-MOOC on Science Communication: Research Productivity and Data Analytics using Open Software | Offered by IIT Delhi Central Library | 20 January to 11 April 2025

NPTEL MOOC on Science Communication: Research Productivity and Data Analytics using Open Source Software
Offered by IIT Delhi Central Library |  20 January to 11 April 2025

About the Course
Language for course content : English
Duration : 12 weeks
Credit Points : 3
Start Date : 20 January 2025
End Date : 11 April 2025
Enrollment Ends : 27 Jan 2025
Exam Date : 03 May 2025  (Note: This exam date is subject to change based on seat availability).

ABOUT THE COURSE:
Scientists, researchers, academicians and students are involved in extensive research and publication work to produce new knowledge or a new interpretation of the existing knowledge base. The quality and quantity of this knowledge is popularly evaluated by using various quantitative metrics known as mapping tools and technologies. Many organisations, policy makers, and government agencies regularly conduct such analyses for various reasons, like ranking, funding, evaluations, project awards, rewards, etc. The evaluation process includes extracting large-scale research data, pre-processing and analysing. It requires both mathematical and computer skills to do effective analysis and presentation. This course has been developed, keeping all these parameters in mind, targeting people working or interested in the areas of Mapping Science/Scientometrics/Humanities & Social Sciences/Library & Information Science, Information Systems & Services professionals and the practitioners who are involved and aiming to do such analysis. The course will introduce the concepts of various assessment metrics of research output, data extraction, pre-processing, different visualisation tools, ethics of analysis, software for extraction, refining and analysis of data, etc.
The course also includes various case studies on quantitative assessment of Institutions, Authors, Journals, Domains, and Countries. Prior knowledge of mathematics, statistics, or programming is optional to take advantage of the contents of the course as it starts with the basics and helps understand the advanced concepts with easily understandable day-to-day examples. Some of the practical aspects of each concept covered in the course will be delivered in the RStudio. Other software like VOSviewer, Citespace, etc., will also be covered.
After successfully completing the course, the learners will be able to understand the concept as above. They will also be able to conduct and publish the assessment studies in reputed journals, conferences or as research reports or manuscripts in any other form. The course aims to give learners the skills necessary to utilise open-source environments like R to evaluate and map the scientific knowledge generated by researchers.

INTENDED AUDIENCE: Faculty, Researchers, Post Graduate Students, Administrators, Policy Makers, Information Professionals, Library Science Professionals, etc.

PREREQUISITES: Undergraduate in any discipline

INDUSTRY SUPPORT: CFTIs/HEIs/Universities R&D organizations Ranking & Accreditation Agencies/Customers Publishing Industry Policy-making and evaluation organizations Library and Information Centres & Departments.

Course Layout
Week 1: Science Communication
Week 2: Academic Visibility and Research Impact  
Week 3 : Data Sources and Extraction  
Week 4: Working with R: Installation of R and RStudio, Basic Operations, data types, etc.
Week 5: Introduction and application of bibliometrics and laws of scientometrics in mapping of science communications
Week 6: Descriptive Analysis: Publication and Citation related metrics
Week 7: Science Mapping: Co-citation, bibliographic coupling, co-authorship, PageRank, etc.
Week 8: Data Visualization
Week 9: Text Mining: Topic Modelling of research productivity
Week 10: Best Practices in Academic Rankings in reference to Times Higher Education (THE), QS, Sanghai (ARWU) and NIRF Ranking
Week 11: Ethical Guidelines, Academic Integrity in Science Communication
Week 12: Case Studies

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