Abstract
Initially funded as part of the Jisc Data Spring Initiative, a team of stakeholders (publishers, data repository managers, coders) has developed a simple workflow to streamline data paper submission. Metadata about a dataset in a data repository is combined with ORCID metadata about the author to automate and thus greatly reduce the friction of the submission process. Funders are becoming more interested in good data management practice, and institutions are developing repositories to hold the data outputs of their researchers, reducing the individual burden of data archiving. However, to date only a subset of the data produced is associated with publications and thus reliably archived, shared and re-used. This represents a loss of knowledge, leading to the repetition of research (especially in the case of negative observations) and wastes resources. It is laborious for time-poor researchers to fully describe their data via an associated article to maximise its utility to others, and there is little incentive for them to do so. Filling out diverse submission forms, for the repository and journal(s), makes things even lengthier. The app makes the process of associating and publishing data with a detailed description easier, with corresponding citation potential and credit benefits.
Highlights
Data papers (Newman and Corke [1]) are overwhelmingly open themselves and based on open data held in repositories, unlike more conventional publications
In June 2016, Earth System Science Data became the first data journal to achieve an impact factor and at 8.286, it already ranks 2nd in Meteorology & Atmospheric Sciences and 3rd in Geosciences, Multidisciplinary
Society’s rationale for a more diverse, nuanced set of metrics [4]), this result still has some significance as it clearly illustrates that data papers are cited by primary research articles in considerable numbers, and so form part of the overall knowledge canon
Summary
Data papers (Newman and Corke [1]) are overwhelmingly open themselves and based on open data held in repositories, unlike more conventional publications. Society’s rationale for a more diverse, nuanced set of metrics [4]), this result still has some significance as it clearly illustrates that data papers are cited by primary research articles in considerable numbers, and so form part of the overall knowledge canon This has been accompanied by increased publisher interest—possibly in part due to increased understanding of the need to publish the ‘whole research story’ and partly as data papers’ potential revenue-raising opportunities begin to emerge as a result. Having observed this situation, the project team aimed to drive the deposit of data in repositories and encourage the growth of data papers by simplifying the process through the removal of redundant. This paper describes the project to date, outlines key outcomes and sets out a framework for further development work
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