申し訳ございませんが、お客様のブラウザには完全に対応しておりませんオプションがありましたら、新しいバージョンにアップグレードするか、 Mozilla Firefox、 Microsoft Edge、Google Chrome、またはSafari 14以降をお使いください。これらが利用できない場合、またサポートが必要な場合は、フィードバックをお送りください。
この新ホームページへのフィードバックを歓迎します。ご意見をお寄せください
専門家によって開発されたコンテンツを活用してスキルを向上させたい図書館情報学の専門家向けのリソース
Designed for Librarians and others working in a research-intensive environment, this course provides a hands-on introduction to AI applications in library settings, with a strong focus on ethical and responsible use. Course objectives:
At the end of this course, you’ll be able to:
Explain core AI concepts tailored to library professionals
Demonstrate AI applications in library environments
Describe how AI can streamline library workflows and enhance user services
The Research Data Management Academy (RDMLA) provides key knowledge and skills needed to collaborate with researchers and other stakeholders on data management. You can expect to learn about data management foundations, necessary tools, marketing RDM and more.
The academy is a partnership between a LIS academic program, academic health sciences, and research libraries, and Elsevier.
The self-pace course is hosted on a different Canvas instance than our other programs. You will be prompted to register using your Canvas credentials.
Discover valuable resources through our articles, webinars, infographics, and more. We partner with librarians to share best practices, tackle pressing issues, and explore the latest in technology and trends.
