Data trusts have been conceived as a mechanism to enable the sharing of data across entities where other formats, such as open data or commercial agreements, are not appropriate, and make data sharing both easier and more scalable. By our definition, a data trust is a legal, technical, and organizational structure for enabling the sharing of data for a variety of purposes. The concept of the “data trust” requires further disambiguation from other facilitating structures such as data collaboratives. Irrespective of the terminology used, attempting to create trust in order to facilitate data sharing, and create benefit to individuals, groups of individuals, or society at large, requires at a minimum a process-based mechanism, that is, a workflow that should have a trustworthiness-by-design approach at its core. Data protection by design should be a key component of such an approach.

With the advent of the Internet and particularly Open Data, data literacy (the ability of non-specialists to make use of data) is rapidly becoming an essential life skill comparable to other types of literacy. However, it is still poorly defined and there is much to learn about how best to increase data literacy both amongst children and adults. This issue addresses both the definition of data literacy and current efforts on increasing and sustaining it. A feature of the issue is the range of contributors. While there are important contributions from the UK, Canada and other Western countries, these are complemented by several papers from the Global South where there is an emphasis on grounding data literacy in context and relating it the issues and concerns of communities.

A project to identify metrics for assessing the quality of open data based on the needs of small voluntary sector organisations in the UK and India. We used small structured workshops to identify users’ key problems and then worked from those problems to understand how open data can help address them and what the key attributes must be for successful use.  We then piloted different metrics that could be used to measure the presence of those attributes. This user-centred approach to open data research highlighted some fundamental issues with expanding the use of open data from its enthusiast base.

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We discuss the motivation for holding the Data Literacy workshop at ACM WebSci 2015 and the key challenges for advancing the praxis and research of data literacy that emerged: defining data literacy; establishing its importance; identifying beneficial projects and building a community.