KAPTUR
KAPTUR will discover, create and pilot a sectoral model of best practice in the management of research data in the visual arts. The four institutional partners will support the creation of the model, then apply, test and pilot it within their respective institutions. The results will be fed back into the model, which will be revised and then published freely to the wider higher education community for use and reuse.
Summary
Led by the Visual Arts Data Service, the KAPTUR project team will start by investigating the nature and scope of research data in the visual arts building on the work of the Digital Curation Centre (DCC) and the previous JISC Managing Research Data projects. Research data in the visual arts is complex, taking many forms including logbooks, journals, workbooks, sample libraries and sketchbooks. Currently, very little is known about the curation and management of this data: none of the specialist arts institutions have research data management policies or infrastructure in place and evidence suggests that practice is ad hoc, left to individual researchers and teams without support or guidance.
Research data is a valuable resource and, with appropriate curation and management, it has much to offer learning, teaching, research, knowledge transfer and consultancy activities in the visual arts. To address the lack of awareness and usage of research data management systems in the visual arts, the KAPTUR project seeks: to investigate the current state of the management of research data in the arts; to develop a model of best practice applicable to both specialist arts institutions and arts departments in multidisciplinary institutions; and to apply, test and embed the model with the four institutional partners.
Anticipated Outputs and Outcomes
- Environmental analysis report.
- Creation and piloting of a sectoral model of best practice in the management of research data in the visual arts consisting of specifications, toolkits, training materials, workshops, case studies, guidance notes, policies, technical requirements analysis, and financial and sustainability plans.
- Creation of a pilot demonstrator data management research service.
- Creation of four institutional pilot data management research systems.