Librarians to the Rescue! An LIS-Associated Workflow Model for the Rescue of Research Data at Risk
DOI:
https://doi.org/10.25159/2663-659X/17232Keywords:
data conservation , data rescue , data at risk, research data management, data curationAbstract
This study presents a data rescue workflow model and explores the potential roles and responsibilities of the library and information services (LIS) sector in rescuing at-risk data. The methodology was multifaceted, consisting of three distinct phases of data collection and analysis. First, content analysis was conducted on 15 purposively selected data rescue publications to identify key activities that are integral to the data rescue process. This phase resulted in the creation of an initial data rescue workflow model. Second, feedback was obtained from six experienced researchers at a South African research institute, chosen from a sample of criterion-based researchers, after they reviewed the initial model. This feedback was used to revise the model. Third, additional feedback on both the initial and revised models was gathered during a mini focus group session with three purposively selected LIS experts at the same research institute. This feedback was used to refine the model and develop a final recommended data rescue workflow model, which is presented in this study. The recommended model outlines the crucial stages, activities, and outputs of data rescue in a chronological sequence. The study’s outcomes provide new insights into data rescue and the involvement of LIS professionals, highlighting how various LIS experts can contribute to data rescue projects.
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