Linking datasets and articles for publication – cross-linking and workflows

CR12/13, Rutherford Appleton Laboratory, Didcot, OX11 0QX

Data is being increasingly recognised as the foundation of the scientific record. Data journals and other data publishing models (such as enhanced publications) are opening up data and other research products for further use, re-use and validation. A key part of data publication, and linking data to other scientific outputs, is a formalised and standardised method of permanently cross-linking between the dataset (as held in a repository) and the related article (as hosted in a journal).

The PREPARDE project is funded by JISC to address key issues arising from data publication, including cross-linking between repository and journal. It aims to produce guidelines applicable to a wide range of scientific disciplines and data publication models. The project initially focuses on earth science disciplines, and the Geoscience Data Journal, a partnership between the Royal Meteorological Society and Wiley-Blackwell.

Intended audience: the workshop will interest anyone involved in publishing data, either directly, via a data journal or as part of an enhanced publication

Critical issues the workshop aims to cover include:

• How can publishers and repositories collaborate to exploit and share metadata about related scientific outputs (i.e. datasets and articles)
• Where are the best points in the various journal and repository workflows to establish persistent links and share metadata for data publication?

Outcomes Participating in the workshop will help you to:

1. Understand benefits and risks to stakeholders in scholarly publishing likely to arise from different data publishing models.
2. Shape PREPARDE project guidelines on:
   1. workflows for data publication
   2. data and metadata standards for enabling cross-linking between data repositories and academic publishers.

Presentations:

• Aims and Introduction - Jonathan Tedds, University of Leicester/ PREPARDE
• Data Centre workflows for publication - Sarah Callaghan, BADC/ PREPARDE
• Geoscience Data Journal: developing a workflow for cross-linking between dataset and Data Paper - Tim Roberts, Wiley/PREPARDE
• Data aggregations for facilities science - Vasily Bunakov, STFC
• Linking datasets with user commentary, annotations and publications: the CHARMe project - Jon Blower, University of Reading
• The OpenAIRE Scholarly Communication Infrastructure: On Interlinking Datasets, Literature, Fundings, and Research Initiatives - Paolo Manghi, OpenAIREplus
• Interlinking Articles & Data in the Article of the Future - Bethan Keall, Elsevier
• Data citation and persistent identifiers: the DataCite approach - Elizabeth Newbold, British Library

Discussion groups – What standards are needed for cross-linking? What technologies? What are the major blockers to cross-linking? (Report to come)