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As the focus on nurse well-being evolves, an important consideration is the role of an organization's employee assistance program (EAP). Employee assistance programs are historically underused by employees and are not understood in terms of the depth of services and partnerships they can offer. Nurse executives have a key role in maximizing EAP services and utilization as ones who refer staff and who can influence and decide on an EAP partner and related programs and services. This column discusses how EAPs can be a significant tool for nurse leaders in supporting employees.

The Beckett Digital Manuscript Project (BDMP) brings together digital facsimiles of the manuscripts of Samuel Beckett’s works – documents currently held in over thirteen libraries and archives in Europe and North America – with the aim of furthering genetic criticism. Incorporating three of the eight modules available for researchers engaging with the BDMP website as of August 2020, together with one forthcoming monograph study whose corresponding digital module has yet to be made live on the site, this article will, in effect, make use of three novels and one novella, all in both their French and English iterations, in order to present concrete examples of the ways in which the exposition of idiosyncratic features of Beckett’s œuvre is being facilitated by this nascent digital archive.

The capture, modelling and visualisation of uncertainty has become a hot topic in many areas of science, such as the digital humanities (DH). Fuelled by critical voices among the DH community, DH scholars are becoming more aware of the intrinsic advantages that incorporating the notion of uncertainty into their workflows may bring. Additionally, the increasing availability of ubiquitous, web-based technologies has given rise to many collaborative tools that aim to support DH scholars in performing remote work alongside distant peers from other parts of the world. In this context, this paper describes two user studies seeking to evaluate a taxonomy of textual uncertainty aimed at enabling remote collaborations on digital humanities (DH) research objects in a digital medium. Our study focuses on the task of free annotation of uncertainty in texts in two different scenarios, seeking to establish the requirements of the underlying data and uncertainty models that would be needed to implement a hypothetical collaborative annotation system (CAS) that uses information visualisation and visual analytics techniques to leverage the cognitive effort implied by these tasks. To identify user needs and other requirements, we held two user-driven design experiences with DH experts and lay users, focusing on the annotation of uncertainty in historical recipes and literary texts. The lessons learned from these experiments are gathered in a series of insights and observations on how these different user groups collaborated to adapt an uncertainty taxonomy to solve the proposed exercises. Furthermore, we extract a series of recommendations and future lines of work that we share with the community in an attempt to establish a common agenda of DH research that focuses on collaboration around the idea of uncertainty.