What is a data paper?

A "Data Paper" is: 
  • Usually short, is linked with and describes one or more datasets 
  • Foccused on the data rather than conclusions
  • Captures experimental and/or analytical methodologies (data provenance)
  • Allows publication of negative results (avoids needless duplication)
  • Is an aid to reproducibility (traditional papers increasingly contain insufficient detail)
  • Data and data papers tend to be Open Access
CRITICALLY: Data Papers contribute to making research and research data more FAIR (Findable, Accessible, Interoperable and Re-usable)

What is data2paper?

Data2paper is a cloud-based application 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.

Serving the wider research community, data2paper works with academic institutions, publishers, data repositories, funding agencies and organizations interested in research and scholarly communication. Data2paper aims at progressing data papers, enabling data re-use and giving researchers credit for their data.


Here's what's happening

  • January 2018 Neil and Fiona will be attending PIDapalooza on 23-24 January 2018 in Girona, Spain and would be happy to arrange a meeting to discuss data2paper!
    Posted 22 Nov 2017, 11:58 by Fiona Murphy
  • November events OpenCon, Berlin, 11-13 November 2017Holly will be at OpenCon and would be happy to discuss Data2Paper with you!THOR Final Meeting, Rome, 15 November 2017Fiona will be ...
    Posted 13 Nov 2017, 07:06 by Fiona Murphy
Showing posts 1 - 2 of 2. View more »

Publishers

Journal

Publishers – secure a better pipeline of quality data papers directly to journal submission systems.

Repository managers

Institution

Repositories – improve the range of services offered by the repository and present an opportunity for researchers to not only comply but also engage with data management and deposition.

Researchers

Researcher

Researchers – derive a citable research object, while also providing better information, increasing visibility and fostering re-use of the data.