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

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Data Cleansing, Standardization and Data Migration Framework for Proprietary to Open-Source ILMS in India


Affiliations
1 Research Scholar, Department of Library and Information Science, Vidyasagar University, Midnapore – 721101,West Bengal, India
2 Professor and Head, Department of Library and Information Science, Vidyasagar University, Midnapore – 721101, West Bengal, India
     

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The present study discusses data migration and various issues involved in data cleansing and standardization. Libraries are moving to the popular open-source ILMS Koha. The paper describes the design of a data migration framework from proprietary Integrated Library Management Software (ILMS) to Koha. The issues related to data quality in source ILMS and processes involve understanding and correcting raw data. The paper highlights the methods, tips and tricks, configurations, and data migration in open ILMS Koha. Studies proved Open Source Solutions (OSS) such as Koha for library automation is the better choice as it supports customization at a minimal cost. The paper examines the errors, mistakes and lack of uniformity of data in source databases and methods for quality enhancement of raw data. The current article is of practical significance for those who wish to migrate from existing ILMS to open-source solutions like Koha. The paper covers the migration of bibliographic data, member data and transaction data.

Keywords

Data Migration, Koha, Libsys, Library Automation, MarcEdit, Open-Source Software, SOUL.
User
About The Authors

Vinod Kumar Mishra
Research Scholar, Department of Library and Information Science, Vidyasagar University, Midnapore – 721101,West Bengal
India

Durga Sankar Rath
Professor and Head, Department of Library and Information Science, Vidyasagar University, Midnapore – 721101, West Bengal
India


Notifications

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  • Anyaogu, U. (2019). Retrospective conversion of bibliographic records: Koha experience of NIALS library. Library Philosophy and Practice, 2019.

  • Badovinac, B. (2021). Defining data quality in bibliographic and authority records: A case study of the COBISS.SI system. Cataloging and Classification Quarterly, 59(4), 355–377. https://doi.org/10.1080/01639374.2021.1910603

  • Data Migration Frequently Asked Questions FAQs. (n.d.). Soutron Global. Available at: https://www.soutron.com/ data-migration-faqs-usa/

  • Data Quality, Cleansing, Integration and Migration. (n.d.). Kualitatem. Available at: https://www.kualitatem.com/ data-quality-cleansing-integration-migration/

  • Don, K. (2011). A survey of Koha in Australian special libraries: Open source brings new opportunities to the outback. OCLC Systems & Services: International Digital Library Perspectives, 27(1), 23–39. https://doi. org/10.1108/10650751111106537

  • Hanumappa, A., Dora, M., and Navik, V. (2014). Open Source Software solutions in Indian libraries. Library Hi Tech, 32(3), 409–422. Scopus. https://doi.org/10.1108/LHT-12- 2013-0157

  • Ian, W. (2011). Migrating from Innovative Interfaces’ Millennium to Koha: The NYU Health Sciences Libraries’ experiences. OCLC Systems & Services: International Digital Library Perspectives, 27(1), 51–56. https://doi. org/10.1108/10650751111106564

  • Koha Data Migration. How to Import MARC file into Koha using Terminal @ Technical Digit. (n.d.). Available at: https://technicaldigit.com/koha-data-migration-usingterminal/ MarcEdit Development. (2013). MarcEdit Development. https://marcedit.reeset.net/downloads

  • Mishra, V. K., and Rath, D. S. (2021). Data migration, RFID integration and implementation of koha: A case study of nit rourkela. Annals of Library and Information Studies, 68(1), 47–55. https://doi.org/10.56042/alis.v68i1.37510

  • Mitchell, H. (2017). The Times, they are changing. Technical Services Quarterly, 34(2), 129–145. https://doi.org/10.1080 /07317131.2017.1286838

  • Rudić, G., and Surla, D. (2009). Conversion of bibliographic records to MARC 21 format. The Electronic Library, 27(6), 950–967. https://doi.org/10.1108/02640470911004057

  • Scopus—Document search. (n.d.). Available at: https://www. scopus.com/search/form.uri?display=basic#basic

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  • What Is Data Migration? – How to Plan a Data Migration. NetApp. (2021). Available at: https://www.netapp.com/ data-management/what-is-data-migration/

  • WMS data migration checklist. (2020). OCLC Support. Available at: https://help.oclc.org/Librarian_Toolbox/ WMS_data_checklists/WMS__data__migration__checklist


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  • Data Cleansing, Standardization and Data Migration Framework for Proprietary to Open-Source ILMS in India

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Authors

Vinod Kumar Mishra
Research Scholar, Department of Library and Information Science, Vidyasagar University, Midnapore – 721101,West Bengal, India
Durga Sankar Rath
Professor and Head, Department of Library and Information Science, Vidyasagar University, Midnapore – 721101, West Bengal, India

Abstract


The present study discusses data migration and various issues involved in data cleansing and standardization. Libraries are moving to the popular open-source ILMS Koha. The paper describes the design of a data migration framework from proprietary Integrated Library Management Software (ILMS) to Koha. The issues related to data quality in source ILMS and processes involve understanding and correcting raw data. The paper highlights the methods, tips and tricks, configurations, and data migration in open ILMS Koha. Studies proved Open Source Solutions (OSS) such as Koha for library automation is the better choice as it supports customization at a minimal cost. The paper examines the errors, mistakes and lack of uniformity of data in source databases and methods for quality enhancement of raw data. The current article is of practical significance for those who wish to migrate from existing ILMS to open-source solutions like Koha. The paper covers the migration of bibliographic data, member data and transaction data.

Keywords


Data Migration, Koha, Libsys, Library Automation, MarcEdit, Open-Source Software, SOUL.

References





DOI: https://doi.org/10.17821/srels%2F2023%2Fv60i4%2F170811