Prosenjit Sarkar ¹, Parthasarathi Mukhopadhyay ²

Affiliations
1 Central Library, The University of Burdwan, Burdwan 713104, IN
2 Department of Library and Information Science, The University of Burdwan, Burdwan 713 104, IN

Abstract

Theses and dissertations in print and electronic format are valuable academic resources. These resources must be available to scholars. Library catalogues serve as resource discovery tools to find these valuable academic documents. In view of the importance of organization and access to these resources, this paper explores cataloguing of theses and dissertations and its retrieval along with other types of documents in an integrated processing environment. The software framework that provides integrated processing and retrieval environment is based on open source software and open standards. Designing of the framework takes into consideration shortcomings of the popular library automation software implemented in India.

Keywords

ETD Cataloguing, ETD-MS and MARC-21 Mapping, Theses Retrieval, ETD Management in Library Automation.

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Samir Kumar Jalal ¹, B. Sutradhar ¹, Parthasarathi Mukhopadhyay ²

Affiliations
1 Central Library, IIT Kharagpur, Kharagpur - 721302, West Bengal, IN
2 University of Kalyani, Nadia - 741235, West Bengal, IN

Abstract

The paper tries to assess all the existing ranking systems which are used to rank higher educational institutions. The aim of the paper is to provide sufficient background to design and develop a new ranking system for a country. An attempt has been taken to find out the reasons of low ranking of Indian universities with respect to the world university ranking through webometric analysis of top ten Indian and Asian universities. A comparative study of top Ten Indian Universities and Asian universities is made with respect to significant web indicators, which are frequently used in ranking purpose. The results found that there is a significant difference of values of webpages, backlinks, rich files, Google Scholar and research publications between these top Ten Asian Universities and Indian universities.

Keywords

Webometric Analysis, University Ranking, Indian Universities, Asian Universities.

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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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Anirban Dutta ¹, Parthasarathi Mukhopadhyay ¹

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

Abstract

This work starts with a background study of serendipity, its meaning in the context of information discovery, its interrelation with bibliographic relationships, and the technical possibilities for practical implementation of a relationships based visual navigation in a library discovery interface to achieve serendipitous resource discovery. The methodology for developing the prototype consists of two components – theoretical base and practical steps. The theoretical framework includes an indepth study of the concept of bibliographic relationships as proposed by experts, as reflected in bibliographic data models and as included in bibliographic formats and metadata schemas. The practical sides deal with the application of the theoretical framework in designing a prototype that, in addition to other typical retrieval features, supports visual navigational facility driven by bibliographic relationships. The components, tools and standards of the entire software architecture are all open source and open standards.

Keywords

Bibliographic Relationships, Creative Browsing, Information Visualization, Information Search, Relationship-based Navigation, Serendipity.

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Parthasarathi Mukhopadhyay ¹, Roshni Mitra ¹

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

Abstract

Data reconciliation and Named Entity Recognition (NER) are closely related concepts to the domain of data carpentry in general and library carpentry in particular. In this context, the part III of the three-part series on library carpentry (part I & II have been published in April & June issues of this journal) is an attempt to apply library carpentry methods in the core areas of information organization in a library of any type or size along with additional utilities like cross-linking of data sources, automatic translation, sentiment analysis and so on. A total of five case studies are included in this research study covering these areas with a focus on do-by-yourself mode.

Keywords

Automatic Translation, Data Carpentry, Data Reconciliation, Data Sources Cross-Linking, Library Carpentry, Named Entity Recognition, Sentiment Analysis.

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Anirban Dutta ¹, Parthasarathi Mukhopadhyay ¹

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

Abstract

This paper reports the development of a digital indigenous or aboriginal cultural heritage archive prototype to understand more specifically how to manage cultural heritage resources for local needs, for traditional and indigenous communities, and in libraries, archives, and museums as they seek to manage, preserve, strengthen, develop, and reuse these resources. The tribes who are the earliest inhabitants of India are economically and socially the least advanced, as they live in isolated and self-contained groups, and are distinct culturally and ethnically from mainstream societies. Historically, colonization, ignorance of mainstream societies, etc., have dominated thousands of indigenous cultures that have ceased to exist or have been marginalized to the brink of extinction. This exploratory study is an attempt to find the tools and techniques that can assist in building an information system for indigenous culture. It considers the need for integration of such a system with a library retrieval system, and the prototype includes the indigenous cultural resources of the Rabha tribe of North-East India to illustrate the idea and suggest a prototype based on open source software and open standards.

Keywords

Cultural Heritage, Digital Archive, Indigenous Cultural, Mukurtu, Resource Management, Rabha Tribe, Tribal Culture.

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Abhijit Roy ¹, Parthasarathi Mukhopadhyay ¹

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

Abstract

The present study measures the open access friendliness of Indian central universities against some open access indicators based on 100 points scale. It applies a data carpentry tool namely Open Refine to measure the open access friendliness of Indian universities. This ranking framework consists of two primary areas viz. OA publications share and OA license share, including five factors (OA share, Gold and Green OA share, Repository share, OA license share and Gold & Green license share). The present study has analysed a total of 85916 publications of ten central universities that are listed in the National Institutional Ranking Framework (NIRF), 2021 covering 28.43% of publications under four OA routes (Gold OA, Green OA, Hybrid OA and Bronze OA). The study has proposed an OAFI ranking framework for measuring the web presence of said universities. It is found that Visva Bharati University ranks 1st scoring 64.04 (out of 100) points and Tezpur University has scored the lowest points i. e., 48.75 (out of 100).

Keywords

Central University, Data Carpentry, National Institutional Ranking Framework, Open Access, Open Access Friendliness, Open Access Friendliness Indicators, Open Refine.

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Bijan Kumar Roy ¹, Parthasarathi Mukhopadhyay ²

Affiliations
1 Associate Professor, Department of Library and Information Science, University of Calcutta, Kolkata – 700073, IN
2 Professor, Department of Library and Information Science, University of Kalyani, Kolkata – 741245 West Bengal, IN

Abstract

Scholarly resources published on different platforms are not often searchable and accessible to potential scholars. Google, like other search engines, does not always retrieve free articles on a consistent basis. As a result, there is a gap between the availability and discoverability of scholarly resources. Digital Access Brokers are ground-breaking developments in this context that assemble, discover, and link to open access copies of paid articles or paywalled papers legally uploaded by authors or author-posted manuscripts, with permission from publishers. Browser extensions have emerged as an alternative retrieval assistant to help scholars locate and provide free full-text access to such content available on different publisher sites, databases, open-access journals, or institutional repositories. Unlike other search engines, these extensions provide additional value-added services (such as recommending related resources, citation information, status, type of open access license, level of access and availability of copies by indicating different colours, integration with citation management tools, article metrics) along with the paper to reduce the information overload of the readers. The objective of this paper is to provide an idea about different browser extensions such as Kopernio, Open Access Button,unpaywall and along with their features that might help them in selecting the best toolfor their research work.

Keywords

Browser Extension, Digital Access Broker, Open Access, Open Access Button, Scholarly Communication, Unpaywall

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Bijan Kumar Roy ¹, Parthasarathi Mukhopadhyay ²

Affiliations
1 Associate Professor, Department of Library Information Science, University of Calcutta, West Bengal, IN
2 Professor, Department of Library Information Science, University of Kalyani, West Bengal, IN

Abstract

In our previous article (Digital Access Brokers: clustering and comparison (Part I - locator services), we covered a total of twelve browser extensions under one broad group viz. Group A- Locations, Citations & References. This paper covers another twenty-two more browser extensions under four major groups viz. Group B- Summarizers, Recommenders & Commenters; Group C- Multi Functional; Group D - Resource Integration; and Group E- Citation Map Builder. All of these tools assist researchers in a variety of ways in obtaining content, both open-access and licenced content owned by various publishers or databases.

Keywords

Browser Extension, Digital Access Broker, Google Scholar Button, Kopernio, Lazy Scholar, Lean Library.

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Anjan Pal ¹, Parthasarathi Mukhopadhyay ¹

Affiliations
1 DLIS, University of Kalyani, Kalyani, Nadia − 741235, West Bengal., IN

Abstract

Authority data is vital for effective library and information services. It serves a major purpose in realizing the collocation function of library catalogues and indexes. Unfortunately, however, authority control has been neglected in library catalogues and other bibliographic databases in India. This paper seeks to demonstrate how authority data can be fetched automatically from Wikidata, a sibling project of Wikipedia. For this purpose, the query language SPARQL is required to formulate the names of persons of Indian origin along with their date of birth and place in Wikidata. The collected datasets are processed and implemented as MARC21-based authority data in KOHA, an open-source library management software. The ways in which the library and information science community can use these free, open-source platforms to gather, organize and share data and how they enhance the retrieval efficiency are shown.

Keywords

Authority Data, Data Wrangling, Koha, OpenRefine, SPARQL, Wikidata.

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Parthasarathi Mukhopadhyay ¹

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

Abstract

This research study utilizes an open source AI/ML framework named Annif, developed by the National Library of Finland, to explore the feasibility of automated subject indexing. The framework loads the linked open data format of LCSH and trains the model with a comprehensive training dataset comprising MARC records downloaded from different libraries all over the world. It then compares a set of selected machine learning backends of Annif, namely TF-IDF, Omikuji, and Neural Network, against a set of retrieval metrics to measure the suitability of these backends for the bibliographic data universe. The study concludes that the fusion backend in Annif named Neural Network has the potential to provide support for an automated subject indexing system.

Keywords

Annif, Automated Indexing, Machine Learning, NDCG, Neural Network Model, Retrieval Metrics.

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