London School of Economics, University of Portsmouth and Falmouth University have all chosen to automate their digitisation service with the latest module of Talis Aspire.
According to Doreen Pinfold, Head of Library and Information Services at Falmouth University. “The rationale behind purchasing the module is to make it quicker and easier for academic staff to request digital documents, clearer for them to understand the copyright position of their requests and to integrate digitisation into a streamlined process with our Talis Aspire reading lists. We want to ensure that we comply with the Copyright Licensing Agency (CLA) license without becoming the “copyright police” and also offer students consistent, accessible, high quality scans through making it easier for staff to use our digitisation service.”
Andrew Simpson, Associate University Librarian at University of Portsmouth commented that, “Talis Aspire is allowing us to expand our scanning service. Checks of the CLA website and our own holdings and the creation of cover sheets can now be done automatically, saving considerable processing time on every request. We will have improved confidence through the legal checks and removal of scans, and will be able to provide academic staff with an easy way to request scans when creating their reading lists. We hope this will encourage use of scanned chapters or articles where a purchase of the full item is not needed.”
More about Talis
Talis is a UK based business whose mission is to apply software and data to help transform education. The Talis Aspire Reading List module enables academics and librarians to find, bookmark, manage, publish and track usage of recommended learning resources for students. The Talis Aspire Digitised Content module enables digitised and copyright cleared content, including items referenced on reading lists, to be uploaded and managed, whilst ensuring authenticated access to students.
The data in the Talis Platform consists of over 100,000 reading lists containing over 2.5 million references to learning resources including textbooks, ebooks, journals, documents, videos and web pages. These are teaching resources recommended by academics from over 50 universities, and used by over 1 million students at campuses around the world. The data and the connections between users, subjects, courses, and resources represent an Education Graph. This graph is used to power a series of collective intelligence based features that use the knowledge of the whole system to help improve teaching and learning.