Е. В. Бескаравайная In this publication, we examined the range of issues that the libraries face during the transfer of traditional collections into digital format, and provided examples of efficient technological solutions. Preserving scientific information in libraries is a complex task encompassing many factors, such as: media obsolescence, changes in device designs, software obsolescence and updates, format compatibility, data security and access to information. The issues of selecting documents for digitization in accordance with the specific requirements of the library and user needs are discussed, and several options for preparing selected data for preservation are proposed. One of the main problems is related to the difficulties of data migration, data loss or damage during the migration process, incorrect configuration or insufficient data verification before migration. The conclusions are made on the prospects for technologies with machine analysis and machine learning algorithms designed for various library services, including data preservation. The need for integration of various library departments in the process of transferring data into digital formats is emphasized.
Научная статья 
машинный анализ