ISSN : 1225-598X
Academic information providers are working on developing and establishing new types of content in response to the diverse academic content needs of researchers. To efficiently build and manage a wide range of content, these institutions are establishing digital curation platforms. These platforms apply digital transformation technologies to automate the collection, construction, and management of academic content, supporting researchers’ activities by providing necessary content. To operate these platforms efficiently, it is essential to establish criteria that can effectively address the diverse content needs of users. We developed indicators for selecting new content and applied these selection priorities on a trial basis to the digital curation platform. The indicators for new content selection include content value, user demand and satisfaction, and the ease and efficiency of content collection, construction, and management. These indicators can be utilized during the acquisition and selection stages of the digital resource lifecycle.