The Council of Australian University Librarians (CAUL) has released this report, which summarises the results of a survey of Australian CAUL members to understand the extent of use of provisions of the Copyright Act 1968 to support students and academics during the COVID-19 pandemic.
This report provides a snapshot of the ways libraries have supported industry, health, education, communications and the arts at a national level during 2019, including celebrating the UNESCO International Year of Indigenous Languages and the Australian Year of the Public Domain.
This report expertly frames machine learning and both its possibilities and its challenges. After defining machine learning and distinguishing it from the broader category of artificial intelligence (AI), the author describes the history of the use of these technologies in libraries and explores various approaches.
Libraries are in a state of moving from experimentation to production with linked data, and it is vitally important that the needs for descriptions of special collections materials are not left behind at this critical moment. This document helps to outline some of the challenges...
This report explores how RLUK member libraries prepared for the closure of their physical libraries, their experiences of working remotely, and what plans they are putting in place to enable their recovery.
The Ithaka S+R Library Survey 2019 examines strategy and leadership issues from the perspective of academic library deans and directors. This project aims to provide academic librarians and higher education leaders with information about chief librarians’ visions and the opportunities and challenges they face in...
This report presents findings from a national survey of Australian public libraries exploring how libraries decide which ebooks to purchase. It reports on data about the goals libraries have in building ebook collections, and how they manage and balance those goals against constraints they face.
This paper presents an interdependent set of technical, organisational, and social challenges to be addressed en route to library operationalisation of data science, machine learning, and artificial intelligence (AI).