|Image credit: DATA by Janet McKnight.|
This work is licensed under a CC BY 2.0 license.
Giving Researchers Credit for their Data – or ‘Data2Paper’ as we’re now more snappily calling it – is a cloud-based app which uses existing DataCite and ORCID-derived metadata to automate the process of compiling and submitting a data paper to a journal without the researcher having to leave the research space or wrestle directly with the journal’s submission system (an occasional source of frustration):
Bodleian Libraries and F1000Research – is working hard to make it reality.
Part of Jisc’s Research Data Spring initiative, Data2Paper is now in Phase 3. We’ve built on work done by the WDS-RDA Publishing Data Workflow Working Group on data publishing, run a survey for stakeholders to establish the baseline demand, and produced a (so far silent) demonstration video. Now we’re building a live end-to-end workflow for testing with real authors, data sets, repositories and journals. Partners for this phase include the University of Manchester, Mendeley Data and Elsevier, but we’ve also had helpful input from ORCID, Figshare, Project THOR and SURF as well as expressions of interest from a wide range of publishers and repositories.
What are we hoping to achieve with the app? As well as improving the lives of researchers wishing to publish data papers using data sets, we believe it could prove beneficial to a range of key stakeholders:
- Funders – this service 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. It should also encourage better data citation practices than are currently in evidence
- Publishers – can secure a pipeline of (better quality) data papers directly to journal submission systems
- Higher education institutions – this is an additional opportunity to demonstrate research impact and derive metrics
- Repositories – improves their range of services and represents an opportunity to engage researchers to not only comply but also engage with data management and deposition
- ORCID – this is also an opportunity to enhance ORCID’s value proposition by increasing its directly useful function for both researchers and HEIs (for instance, ORCID can automatically inform the researcher/institution directly if a data paper is published).
However, in recent years, evidence has been amassing which appears to correlate increased impact of primary research with the discoverability of its underlying data (e.g. Piwowar and Vision’s analysis that specifically concentrated on micro-array data) and the research landscape has been adapting accordingly. For instance:
- The Research Data Alliance fosters a number of working groups designed to provide practical and scientifically rigorous support to encourage and enable researchers to share their data (e.g. Data Citation WG Recommendations, WDS-RDA Publishing Data Workflows WG and RDA-CODATA Summer Schools in Data Science WG)
- Thomson Reuters has been developing its Data Citation Index with a view to building the analytics and services it anticipates will be needed for future research assessment and evaluation
- In June 2016, Earth System Science Data became the first data journal to achieve an impact factor. At 8.286, it already ranks 2nd in Meteorology & Atmospheric Sciences and 3rd in Geosciences, Multidisciplinary. This is a significant event in data publishing communities as it has implications for perceived – and measurable – value, publisher interest and potential revenue streams (as data paper publishing itself starts to gain traction via Article Publication Charges).
“Production of open research data should be acknowledged formally as a legitimate output of the research process and should be recognised as such by employers, research funders and others in contributing to an individual’s professional profile in relation to promotion, research assessment and research funding decisions. Such formal recognition should be accompanied by the development and use of responsible metrics that allow the collection and tracking of data use and impact. In general, data citations should be accorded appropriate importance in the scholarly record relative to citations of other research objects, such as publications.”As these initiatives and policy influences further permeate the research community ecosystem, it does feel as though some real transformations will begin to take effect. It remains the case, however, that both social and technical drivers and barriers need to be understood and addressed in order for the majority of researchers to take the view that sharing their open data is – usually – the right thing to do.
To that end, we’d love to hear from anyone who would like more information about our app or is keen to work with us – so do get in touch!
Autor: Fiona Murphy