Organisations cannot avoid working in the cloud and therefore records are being stored in the cloud either by design or by default. This raises important issues of trust in using third-party cloud service providers for storing records and digital archival collections. What factors contribute to trust in the decision-making process? What are the implications that archives and records (ARM) professionals need to understand and assess? This article discusses findings from an international research project that explored issues of trust in the context of the economics of cloud storage services. The most significant issues of trust to emerge were trust in the sustainability and continued economic viability of cloud storage services. Whilst anticipated costs savings (software, hardware, human) was the most frequently cited reason for adopting a cloud storage service, the research revealed that very few organisations or ARM professionals had actually estimated the costs, suggesting decision-making processes are inadequate. A basis for trust in cloud storage solutions might be found in the enhancement of checklists and other guidance documents for ARM professionals to address economic considerations.

Purpose – This paper aims to explore the role of records management in supporting the effective use of information visualisation and visual analytics (VA) to meet the challenges associated with the analysis of Big Data. Design/methodology/approach – This exploratory research entailed conducting and analysing interviews with a convenience sample of visual analysts and VA tool developers, affiliated with a major VA institute, to gain a deeper understanding of data-related issues that constrain or prevent effective visual analysis of large data sets or the use of VA tools, and analysing key emergent themes related to data challenges to map them to records management controls that may be used to address them. Findings – The authors identify key data-related issues that constrain or prevent effective visual analysis of large data sets or the use of VA tools, and identify records management controls that may be used to address these data-related issues. Originality/value – This paper discusses a relatively new field, VA, which has emerged in response to meeting the challenge of analysing big, open data. It contributes a small exploratory research study aimed at helping records professionals understand the data challenges faced by visual analysts and, by extension, data scientists for the analysis of large and heterogeneous data sets. It further aims to help records professionals identify how records management controls may be used to address data issues in the context of VA.

Libraries Bibliography," which helped flesh out our literature 2 review. Everyone who contributed to the conversation about the ethics of teaching with digitized primary sources on Twitter,

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