1. Value proposition for the app
Data2Paper: A stakeholder-driven solution to data publication and citation challenges
Fiona Murphy (1), Neil Jefferies (2), Thomas Ingraham (3), Hollydawn Murray (3), and Anusha Ranganathan (4)
University of Reading, London, (2) Bodleian Digital Libraries, University of Oxford, (3) F1000Research, London, (4) Digital Nest
Correspondence to
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Data papers (see Newman and Corke, 2009) are overwhelmingly not only open themselves but also based on open data held in repositories, unlike more conventional publications. However, they currently represent a relatively small proportion of research outputs even though they are arguably often disproportionately more useful to the community in terms of reproducibility of work, quality control of data (through peer review), dissemination of techniques and capture of negative results to prevent repetition (see Kratz & Strasser 2014 and references therein).
At the same time, data papers and data journals are becoming more interesting to the establishment. Consequently, it makes sense to explore the value proposition they represent to the key stakeholders. What could an app – that supports a seamless workflow – bring to the research community?
Researchers - achieve a citable output with the minimum of trouble. Also be able to demonstrate compliance with funder and institutional data deposition mandates.
Funders - encourages better research data management. Researchers are more likely to engage with the repositories if they are likely to derive a citable research object at the cost of a few minutes’ work. There would be additional metrics available, as well as better information about re-use.
 Publishers - can secure a pipeline of (better quality) data paper submissions directly to journal submission systems. Data2Paper also appears to be a significantly lower friction method of receiving papers than the conventional editorial management platforms.
Higher Education Institutions - an additional opportunity to demonstrate research impact and derive metrics.
Repositories - improves their range of services, an opportunity to engage researchers not only to comply but also to engage with data management and deposition.
ORCID - represents an opportunity to enhance ORCID’s value proposition by increasing its directly useful function for both researchers and HEIs.
Background
Data2Paper in motion
Method
Upon its launch as part of the Jisc Research Data Spring initiative (Phase 1), an initial feasibility study was carried out based on a report commissioned by the WDS-RDA Publishing Data Workflows Working Group to look at data paper publication workflows (Murphy et al, 2015). A straw-man workflow proposal was developed, along with a set of metadata requirements and the resulting survey was circulated amongst data repositories and publishers. Of the repositories and publishers surveyed, 91% and 94% respectively were interested in implementing this tool, establishing both the demand for such a service and the practicality thereof with overwhelmingly positive responses from both camps. A full report, including the survey results, can be found at Murphy, Jefferies and Ingraham, 2015.
Following the July 2015 assessment process, Phase 2 was funded to develop a prototype of the helper app and to demonstrate the linking of a data repository to a publisher’s data paper submission system.
Phase 3 (running from March to October 2016) consisted of building the end-to-end solution, publishing the documentation, demonstrating live publication capability, putting preliminary governance in place and beginning work on a long-term sustainable service model. Partners and potential partners included Elsevier/Mendeley Data, University of Manchester, Earth Science Information Partners (ESIP), Data Science Journal, CERN/Zenodo, World Data Center for Climate (WDCC) and University of Edinburgh. Meanwhile, Microsoft Research took on Azure hosting as we encountered some problems with the basic AWS service.
Next steps. We are now in the process of securing additional funding and engaging more closely with partners. Currently we are developing a workflow between DCO and Scientific Data. We may also work with the Digital Science company, Overleaf (see below).
Figure 2 Workflow for Helper App as at end of Phase 3, October 2016
The workflow leverages existing ORCID and DataCite DOI functionality to provide almost all of the metadata required to generate a data journal submission.
Value proposition for the app