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Mishra, Vinod Kumar
- Data Cleansing, Standardization and Data Migration Framework for Proprietary to Open-Source ILMS in India
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Authors
Affiliations
1 Research Scholar, Department of Library and Information Science, Vidyasagar University, Midnapore – 721101,West Bengal, IN
2 Professor and Head, Department of Library and Information Science, Vidyasagar University, Midnapore – 721101, West Bengal, IN
1 Research Scholar, Department of Library and Information Science, Vidyasagar University, Midnapore – 721101,West Bengal, IN
2 Professor and Head, Department of Library and Information Science, Vidyasagar University, Midnapore – 721101, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 60, No 4 (2023), Pagination: 217-226Abstract
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.
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