Parthasarathi Mukhopadhyay ¹, Roshni Mitra ¹, Mondrita Mukhopadhyay ¹

Affiliations
1 Department of Library and Information Science, University of Kalyani, Kalyani – 741235, West Bengal, IN

Abstract

The domain of library and information science is always on the move and LIS professionals are ardent users of emerging technologies. This research work discusses an emerging possibility in the LIS domain, which applies data science principles and techniques in the bibliographic world. The concept is known as library carpentry and involves different data wrangling techniques to get insight of bibliographic datasets. The discussion starts with the basic concepts of library carpentry and systematically reveals the components and methods of library carpentry with the help of three case studies. The case studies represent a variety of actual problem solving projects by using open datasets and open source data wrangling software called Openrefine. The case study (I) deals with the application of library carpentry in e-book selection by taking into consideration socio-academic web space data, the case study (II) shows how is it possible to quickly get an overview of institutional contributions to open access domain by applying library carpentry methods and the case study (III) demonstrates the process of gender analysis with the help of a name-to-gender inference service and by applying data wrangling techniques. Each case study is supported by a comprehensive and representative dataset to support and promote real-life problem solving in processional sphere by applying library carpentry methods.

Keywords

Application Program Interface (API), Data Carpentry, Data Wrangling, General Refine Expression Language (GREL), JavaScript Object Notation (JSON), Openrefine

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Parthasarathi Mukhopadhyay ¹, Mondrita Mukhopadhyay ¹

Affiliations
1 Department of Library and Information Science, University of Kalyani, Kalyani – 741235, West Bengal, IN

Abstract

Authority control for bibliographic data management in Indian libraries is generally a neglected area and thereby library OPACs of the country (including OPAC of the National Library) supports only the finding function of a catalogue and not the collocating function. In this context, the part II of the three part series on library carpentry (part I has been published in April issue) is an attempt to apply library carpentry methods in building authority datasets from scratch. It deals with the methodologies for developing authority datasets by applying data wrangling techniques and subsequent transformations of these datasets into ready-to-import MARC 21 format (for authority data). Like the previous part of the series, this research study is also represented through a case study. The case study narrates development of geographic name authority datasets for - states and union territories (level I), districts of India (level II), sub-districts (level III) and community development blocks of India (level IV). It also demonstrates that how the merged geographic name authority file for India can be implemented in an open source ILS and can become instrumental in enhancing retrieval efficiency through geodetic search feature in an open source library discovery system. It concludes that the proposed mechanisms and methodology (supported with proofs of the concept) may lead to a new era of authority-controlled cataloguing in Indian libraries.

Keywords

Authority Data, Data Reconciliation, Geodetic Search, Geographic Name Authority, Geospatial Data, Linked Open Data (LOD), Openrefine.

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Soumik Kerketta ¹, Mondrita Mukhopadhyay ²

Affiliations
1 Librarian, Surendralal Das Teachers' Training College, Howrah – 711227, West Bengal, IN
2 Research Scholar, Department of Library and Information Science, University of Kalyani, Kalyani – 741235, West Bengal, IN

Abstract

Physical stacks in academic libraries, despite the advent of digital repositories, remain important to users, especially in countries like India where physical resources hold considerable value. This study seeks to develop a system that enables users to locate books physically by integrating stackmaps functionalities with Koha OPAC. In addition, the study showcases how an open-source text analytics server can be incorporated inside an OPAC in Koha to generate various word-level visualizations by analyzing a text corpus, including the identification of geospatial features such as place names. This research aims to contribute to the advancement of information retrieval and visualization techniques in OPACs in academic libraries and to improve the user experience in locating physical resources. (The video abstract of this paper may be found at: https://youtu.be/q940TUkcTTE).

Keywords

Dreamscape, Geospatial Data, Koha, Stackmaps, Text Analysis, Voyant.

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