Purpose -The purpose of this paper is to describe the value of process mapping to libraries as a first step in promoting a culture of organizational assessment. In addition, this paper offers a case study of the University of Michigan Library's experience in building up a process mapping skill set and the workflow improvements resulting from these efforts. Design/methodology/approach -This case study is a description and assessment of a program to train library employees on process mapping. Findings -Process mapping in library settings empowers librarians and staff to identify and implement elements for improvements in routine work. When given the tools to assess processes, employees at the University of Michigan made several such improvements. Practical implications -While library staff tend not to be familiar with process mapping, these skills are critical for retaining institutional knowledge, training staff, and identifying areas for improvement in common and rarely used workflows alike. Originality/value -Process improvements were identified and implemented at the University of Michigan Library when the staff mapped the processes of their daily work.

HCI studies of computational change in the sciences have made important design and analytic contributions, to other fields of science and to HCI itself. But some of the longerterm effects and complexities of infrastructural change in the sciences aren't easily captured under short-term, designor artifact-centered accounts. Drawing on extended ethnographic study of computational development in ecology, this paper explores the relationship between new computational infrastructure and the nature of ecology as a vocation: roughly, the deeply held sense of what it means to 'be' an ecologist, and to 'do' ecology. We analyze in particular the nature of the field and field work as a central site of ecological practice and identity; how new computational developments are remediating this crucial relation; and the emergent vocational values that new and more computationally-intensive forms of ecology may give rise to.

Research in many academic fields today generates large amounts of data. These data not only must be processed and analyzed by the researchers, but also managed throughout the data life cycle. Recently, some academic libraries have begun to offer research data management (RDM) services to their communities. Often, this service starts with helping faculty write data management plans, now required by many federal granting agencies. Libraries with more developed services may work with researchers as they decide how to archive and share data once the grant work is complete.

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