Simple, accurate transfer of content between systems and across institutional boundaries is one of the core aims of information management. In the research environment, there is an accepted need to link publications to the datasets which underpin them, and to sustain these links over the long term, thereby ensuring a more robust and trustworthy scholarly record.
The phrase ‘preparing data for deposit’ might conjure images of the final days of a research project, when staff may be more concerned with getting started on their next piece of work (and possibly their next place of work) than tidying up loose ends from the research that is due to conclude.
The increasing obligation to manage and share data in an active way is to the majority of scholars a relatively new (and not always welcome) facet of their roles. Research data managers and support teams may therefore find benefit in tailoring the assistance, tools and guidance they offer their researchers in ways that synchronise smoothly with existing working practices. Furthermore, from a quality and transparency standpoint, workflows and lifecycle models can serve to standardise research processes, underpinning the openness and reproducibility of scholarship.
Seamless flow of content between systems and across institutional boundaries is one of the core – if perhaps utopian – goals of information management. At a basic level, there is within the research community a shared desire and a growing impetus to link publications to the datasets which underpin them, and to sustain these links for the longer-term. But while the publications will generally be held in comparatively stable repositories, data (and metadata) may be created, held in, and accessed via, a variety of different systems.
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