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Workflows for Publishing Data
Varsha Khodiyar, PhD
Data Curation Editor, Scientific DataNature Publishing Group
@varsha_khodiyar
@scientificdata
Scientific Data's experience as an early adopterRDA P7, 1st to 3rd March 2016
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Mandatory and recommended key components of data publishing – WG results
Austin et al. in review. Report preprint doi:10.5281/zenodo.34542
Implemented by Scientific Data Under wider consideration by Springer Nature
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Implementation of required elements
• Data PID required to complete manuscript submission
• Data Citation policy enforced by editorial process
• Use of structured repositories which capture subject-specific metadata
• Curation of discovery level metadata (regardless of repository) by dedicated Data Curation Editor
• Machine readable metadata aids discovery
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Additional elements - Context
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• Data Descriptor designed to encourage full documentation of data generation
• Articles analysing described data are captured in machine readable metadata (ISA format)
• Linked as associated publication to Data Descriptor online
• Analysis articles published in Nature Publishing Group journals link back to Data Descriptor
• Software availability statement required for previously unpublished software and code
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Additional elements - Quality
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• Provision of manuscript (and metadata templates) to help authors provide reuse level metadata
• Dependant on repositories for curation by domain experts
• Editorial Board selected based on expertise in data generation/reuse in their field
• Ensure that peer reviewers can access data easily and confidentially
• Encourage peer reviewers to view and comment on the actual data as part of their assessment
• Editorial office regularly asked for advice on data deposition and repository selection
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• Data Descriptors aid visibility of data by considering them as first class publications
• Data Descriptors discoverable via common publication indices such as PubMed
• Discovery level machine readable metadata (in ISA format) generated for every Data Descriptor
• Currently trialling use of metadata for data discovery (ISAexplorer)
• Open to suggestions for other uses of Scientific Data’s machine readable metadata
Additional elements – Visibility / Accessibility
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