Journal of Information and Knowledge (Formerly SRELS Journal of Information Management)

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Visualizing Academic Library Data to Understand Use Patterns and Trends


Affiliations
1 Tata Institute of Social Sciences, Deonar, Mumbai - 400088, Maharashtra, India
2 National Digital Library of India, IIT Kharagpur, Kharagpur -721302, West Bengal, India
     

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The main purpose of the study is to explore the pattern and trends of library usage. This study is based on library circulation data. Many tools and applications have been used for the research and data visualization e.g. Tableau, Voyant Tools, MSExcel, Google Ngram Viewer etc. The data set of library transaction was collected from the KOHA (Open Source Library Automation Software) of Sir Dorabji Tata Memorial Library (SDTM Library) of Tata Institute of Social Sciences (TISS), Mumbai. The research has been undertaken with the raw transaction data from the 2014 to 2018 time period. The striking trend suggests that from the year 2015 the number of books checked-out is declining every year. From the research it is also found that on Mondays maximum number of library transactions takes place at TISS library. Text visualization reflects that TISS library holds books in major domains of social sciences.

Keywords

Academic Library, Data Visualization, Library Data Visualization, Library Trend, Text Visualization.
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About The Authors

Akhilesh K. S. Yadav
Tata Institute of Social Sciences, Deonar, Mumbai - 400088, Maharashtra
India

Sagiruddin Ahmed
National Digital Library of India, IIT Kharagpur, Kharagpur -721302, West Bengal
India


Notifications

  • Sadiku, M., Shadare, A. E., Musa, S. M. and Akujuobi, C. M. (2016). Data visualization. International Journal of Engineering Research and Advanced Technology, 2(12):11-16.

  • Borner, K., Chen, C. and Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37(1):179-255. Retrieved from https://asistdl.onlinelibrary.wiley.com/doi/epdf/10.1002/aris.1440370106, https://doi.org/10.1002/aris.1440370106.

  • Finch, J. L. and Flenner, A. R. (2016). Using data visualization to examine an academic library collection. College and Research Libraries, 77(6):765-78. https://doi.org/10.5860/crl.77.6.765

  • Tufte, E.R. (2007). The Visual Display of Quantitative Information (2nd Ed.). Cheshire: Graphics Press LLC. https://www.amazon.com/Visual-Display-Quantitative-Information/dp/1930824130#reader_1930824130.

  • Friendly, M. (2008). A Brief History of Data Visualization. In: Handbook of Data Visualization, Springer, Berlin, Heidelberg; p. 15-56. Retrieved on November 14, 2019 from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.69.4737&rep=rep1&type=pdf, https://doi.org/10.1007/978-3-540-33037-0_2.

  • Ahmed, W. and Ameen, K. (2017). Defining big data and measuring its associated trends in the field of information and library management. Library Hi Tech, 34(9):21-24. https://doi.org/10.1108/LHTN-05-2017-0035.

  • Chen, H. M. (2017). Information visualization meets libraries. Library Technology Reports, 53(3):17-20. https://journals.ala.org/index.php/ltr/article/viewFile/6290/8210.

  • Jiang, Z. and Carter, R. (2018). Visualizing library data interactively: Two demonstrations using R language. Library Hi Tech News, 35(5):14-17. https://doi.org/10.1108/LHTN01-2018-0003.

  • Spratt, S. J. (2018). Datavis: Negotiate resource pricing using data visualization. The Serials Librarian, 74(1-4):111-15. https://doi.org/10.1080/0361526X.2018.1428002.

  • Voliva, C. O. M. (2015). Data visualization for public libraries. Retrieved on November 20, 2019 from http://publiclibrariesonline.org/2015/04/data-visualization-for-public-libraries/.

  • Datig, I. and Whiting, P. (2018). Telling your library story: Tableau public for data visualization. Library Hi Tech News, 35(4):6-8. https://doi.org/10.1108/LHTN-02-2018-0008.

  • Kyrillidou, M. (2016). Business intelligence and data visualization with Tableau in research libraries. Research Library Issues: A Report from ARL, CNI, and SPARC, 288:1-4. https://doi.org/10.29242/rli.288.1.

  • Murphy, S. A. (2013). Data visualization and rapid analytics: applying tableau desktop to support library decisionmaking. Journal of Web Librarianship, 7(4):465-76. https://doi.org/10.1080/19322909.2013.825148.

  • Eaton, M. (2017). Seeing library data: A prototype data visualization application for librarians. Journal of Web Librarianship, 11(1):69-78. https://doi.org/10.1080/1932290 9.2016.1239236.

  • Deal, L. (2015). Visualizing digital collections. Technical Services Quarterly, 32(1):14-34. https://doi.org/10.1080/073 17131.2015.972871.

  • Murphy, S. A. (2015). How data visualization supports academic library assessment: Three examples from The Ohio State University Libraries using Tableau. College and Research Libraries, 76(9): 482-86. https://crln.acrl.org/index.php/crlnews/article/view/9379/10546, https://doi.org/10.5860/crln.76.9.9379.

  • Shreedhar, S. and Naik, M. (2017). Data visualization using View share. Library Hi Tech News, 34(6):1-10. https://doi.org/10.1108/LHTN-02-2017-0009.


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  • Visualizing Academic Library Data to Understand Use Patterns and Trends

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Authors

Akhilesh K. S. Yadav
Tata Institute of Social Sciences, Deonar, Mumbai - 400088, Maharashtra, India
Sagiruddin Ahmed
National Digital Library of India, IIT Kharagpur, Kharagpur -721302, West Bengal, India

Abstract


The main purpose of the study is to explore the pattern and trends of library usage. This study is based on library circulation data. Many tools and applications have been used for the research and data visualization e.g. Tableau, Voyant Tools, MSExcel, Google Ngram Viewer etc. The data set of library transaction was collected from the KOHA (Open Source Library Automation Software) of Sir Dorabji Tata Memorial Library (SDTM Library) of Tata Institute of Social Sciences (TISS), Mumbai. The research has been undertaken with the raw transaction data from the 2014 to 2018 time period. The striking trend suggests that from the year 2015 the number of books checked-out is declining every year. From the research it is also found that on Mondays maximum number of library transactions takes place at TISS library. Text visualization reflects that TISS library holds books in major domains of social sciences.

Keywords


Academic Library, Data Visualization, Library Data Visualization, Library Trend, Text Visualization.

References