Libraries at University of Nebraska-Lincoln

 

Date of this Version

7-4-2019

Citation

References

Chaurasia, S. S., & Rosin, A. F. (2017). From Big Data to Big Impact: analytics for teaching and learning in higher education. Industrial and Commercial Training, 49 (7/8), 321–328. https://doi.org/10.1108/ICT-10-2016-0069

Clegg, H., & Evans, H. (n.d.). Big Data and Text Analytics. In The Emerald Handbook of Modern Information Management (pp. 791–809). https://doi.org/10.1108/978-1-78714-525-220171033

Katuu, S. (2016). The Mandela Portal – an assessment of global visitors using Web analytics. Digital Library Perspectives, 32(4), 270–286. https://doi.org/10.1108/DLP-01-2016-0002

Klobas, J. E. (2014). Measuring the success of scaleable open online courses. Performance Measurement and Metrics, 15(3), 145–162. https://doi.org/10.1108/PMM-10-2014-0036

Lush, B. (n.d.). Managing Accessible Library Web Content. In Accessibility for Persons with Disabilities and the Inclusive Future of Libraries (pp. 169–189). https://doi.org/10.1108/S0065-283020150000040017

OBrien, P., Arlitsch, K., Mixter, J., Wheeler, J., & Sterman, L. B. (2017). RAMP – the Repository Analytics and Metrics Portal: A prototype web service that accurately counts item downloads from institutional repositories. Library Hi Tech, 35(1), 144–158. https://doi.org/10.1108/LHT-11-2016-0122

Open Web Analysis (2018). About Open Web Analysis. Retrieved from http://www.openwebanalytics. com/. (Accessed on January 06, 2018)

Piwik (2018). About Piwik. Retrieved from https://piwik.org/. (Accessed on January 06, 2018)

Plaza, B. (2009). Monitoring web traffic source effectiveness with Google Analytics: An experiment with time series. Aslib Proceedings, 61(5), 474–482. https://doi.org/10.1108/000125309 10989625

Richards, A., & Sen, B. (2013). An investigation into the viability of LibraryThing for promotional and user engagement purposes in libraries. Library Hi Tech, 31(3), 493–519. https://doi.org/ 10.1108 /LHT-03-2013-0034

Showers, B., & Stone, G. (2014). Safety in numbers: developing a shared analytics service for academic libraries. Performance Measurement and Metrics, 15(1/2), 13–22. https://doi.org/ 10.1108/PMM-03-2014-0008

Taraghi, B., Grossegger, M., Ebner, M., & Holzinger, A. (2013). Web analytics of user path tracing and a novel algorithm for generating recommendations in Open Journal Systems. Online Information Review, 37(5), 672–691. https://doi.org/10.1108/OIR-09-2012-0152

Voorbij, H. (2010). The use of web statistics in cultural heritage institutions. Performance Measurement and Metrics, 11(3), 266–279. https://doi.org/10.1108/14678041011098541

Web Analytics Strategies For Information Professionals. (2014). Library Management, 35(6/7), 527–529. https://doi.org/10.1108/LM-06-2014-0065

Comments

This is the original research paper.

Abstract

The extensive and comprehensive statistics of different users’ characteristics and behaviour on a particular website has perform by using the Web analytics which offer increased visibility of website and greater user satisfaction. Measurement of website usage give a suitable and relevant source of user-centric information about the popularity of a library OPAC. The behavior of library visitors needs more attention so that a website can become a more effective, user satisfaction, library related activities and functions, and library users display statistics and it also provide site administrators a number of web metrics that relate users’ activities on a individual library online public access catalogue. Information mashup and cloud computing are the major elements in the field of Web analytics. It is very important because increasing the library information services through open source software Koha in integrated library management and retrieval system. Web analytics gives many facilities for the websites metrics to the visitors and to improve the better organization of information resources. Web analytics have monitoring and evaluation of websites usage and statistics of different libraries. This is very important to the library professionals for easy and simple visual graph in different levels. Client server architecture is an important aspects in integrated library management and retrieval system. Actually client server architecture is a part of cloud computing. The prime objective of any library is to proper dissemination of information resources among the users, but the problem of suitable sites measures for viewing the library OPAC by different users. In this paper have select the two important open source software such as Piwik and Open Web Analytics. Apart from this it has also successfully integrate the Koha OPAC with Piwik and Open Web Analytics user interfaces.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.