This report aims to increase visibility and transparency of data and digital initiatives across Australia and help the Australian Data and Digital Council (ADDC) identify areas of alignment and potential collaboration between jurisdictions.

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).

This paper offers some basic background on search engines, before discussing the different types of data voids that appear in search engines and adjacent recommender systems, the challenges that search engines face when they encounter data voids, and the ways data voids can be exploited by media manipulators with ideological, economic, or political agendas.

In this article, the authors examine common and unique metadata requirements and their levels of descrip­tion, determined by the data deposit forms of 20 repositories in three disciplines—archaeology, quantitative social science, and zoology.

This edited collection examines 'good data' practices, values and principles from an interdisciplinary, international perspective. It aims to start a conversation on data futures and present steps to encourage the use of good data in practice.