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Fiona Murphy (1), Sarah Callaghan (2), Paul Hardaker (3), Rob Allan (4)

The Geoscience Data Journal: collaboration between data repositories and publishing houses in data publishing. Fiona Murphy (1), Sarah Callaghan (2), Paul Hardaker (3), Rob Allan (4)

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Fiona Murphy (1), Sarah Callaghan (2), Paul Hardaker (3), Rob Allan (4)

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  1. The Geoscience Data Journal: collaboration between data repositories and publishing houses in data publishing • Fiona Murphy (1), Sarah Callaghan (2), Paul Hardaker (3), Rob Allan (4) • Wiley-Blackwell, Earth Science Journals, Chichester, UK (fmurphy@wiley.com), (2) British Atmospheric Data Centre, STFC, UK (sarah.callaghan@stfc.ac.uk), (3) Royal Meteorological Society, Reading, UK (chiefexec@rmet.org), (4) Met Office, Hadley Centre, Exeter, UK (rob.allan@metoffice.gov.uk) “the amount of data generated worldwide...is growing by 58% per year; in 2010 the world generated 1250 billion gigabytes of data” The Digital Universe Decade – Are You Ready? IDCC White Paper, May 2010 The current situation can be summarised as this...: It is for these reasons that a partnership has been developed between the British Atmospheric Data Centre, the Royal Meteorological Society and the academic publishers Wiley-Blackwell, in order to develop a mechanism for the formal publication of data in the (soon to be launched) Geoscience Data Journal. This journal builds on the work funded by JISC in the OJIMS (Overlay Journal Infrastructure for Meteorological Sciences) project, and parallels with work done by the NERC Science Information Strategy Data Citation and Publication project team, which brings all the NERC environmental data centres together. • Pressure points • Workflow, landing pages, author, editor, publisher, data centre communication and education • Processes shown in orange boxes are the subject of continual, iterative development driven by stakeholders and incorporating best practices as they emerge. • Incentives • Publishing a dataset in a data journal will provide academic credit to data scientists, and without diverting effort from their primary work on ensuring data quality. • Funderswant to get the best possible science for their money. Running measurement campaigns is expensive, so the more reuse that can be derived from a dataset, the better. Publication in a data journal ensures that the dataset is uploaded to a trusted repository where it will be backed up, archived and curated and so won’t be vulnerable to bit-rot or being lost/stored on obsolete media. The peer-review process also reassures the funder that the published dataset is of good quality and that the experiment was carried out appropriately. Data journals will be a good starting point for information for researchers outside the immediate field, about what sort of data is available and how to access the data. This will encourage inter-disciplinary collaboration, and open up the user base not only for the datasets, but also the data journal and the underlying repositories. The availability of published datasets will make it easier to validate conclusions through the reanalysis of those datasets. Data publication will help show transparency in the scientific process, improving public accountability. • Opportunities to form partnerships with other organisations with the same goal of data publication to exploit common activities and achieve a wider community buy-in. For example, the CODATA-ICSTI Task Group on Data Citation Standards and Practises, DataCite and others. Which we want to change into this:

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