Data2paper: Giving Researchers Credit for Their Data

Neil Jefferies, Fiona Murphy, Anusha Ranganathan and Hollydawn Murray
Additional contact information
Neil Jefferies: Bodleian Libraries, University of Oxford, Oxford OX2 0EW, UK
Fiona Murphy: Department of Meteorology, University of Reading, Reading RG6 6AS, UK
Anusha Ranganathan: Digital Nest Ltd., Oxford OX1 3LE, UK
Hollydawn Murray: F1000Research, London W1T 4LB, UK

Publications, 2019, vol. 7, issue 2, 1-6

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.

Keywords: data papers; publication; open data; credit (search for similar items in EconPapers)
JEL-codes: A2 D83 L82 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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