Gaining credit for sharing research data: Viewpoints on Data Publishing
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The document discusses the importance of sharing research data and outlines the process of publishing data descriptors in an open-access data journal. It explains how structured metadata and proper licensing can enhance data discoverability and reuse, while providing guidance on selecting appropriate data repositories. Additionally, it highlights the role of an in-house curation team in supporting authors and ensuring the quality of data submissions.
Gaining credit for sharing research data: Viewpoints on Data Publishing
- 1. Gaining credit for sharing research data Varsha Khodiyar, PhD Data Curation Editor, Scientific Data Nature Publishing Group varsha.khodiyar@nature.com @varsha_khodiyar @scientificdata Viewpoints on Data Publishing University of Southampton, 21st September 2015
- 2. An open access data journal 2
- 3. An example Data Descriptor 3 Human readable representation of study i.e. article (HTML & PDF) Human readable representation of study i.e. article (HTML & PDF) Machine readable representation of study i.e. metadata
- 4. Sections: • Title • Abstract • Background & Summary • Methods • Data Records • Technical Validation • Usage Notes • Figures & Tables • References • Data Citations Data Descriptor Detailed descriptions of the methods and technical analyses supporting the quality of the measurements. Does not contain tests of new scientific hypotheses Article
- 5. Data Citations Formally link Data Descriptor to external data records
- 6. In-house curation team: • assists users to submit the structured content via simple templates and an internal authoring tool • performs value-added semantic annotation of the experimental metadata analysis method script Data file or record in a database Data Descriptor Structured metadata
- 7. Licences Data: the primary datasets will reside in public repositories. Metadata: released under the CC0 waiver to maximize reuse and aid data miners Data Descriptor article: Licensed by default under the CC BY licence
- 8. Helping authors find the right place for their data Browse our recommended data repositories online. • We currently list almost 80 repositories, across biological, medical, physical and social sciences • When required, we provide guidance to authors on the best place to store their data http://www.nature.com/sdata/data-policies/repositories
- 9. Selecting a repository for your data Considerations: 1.Is your data Structured or Unstructured? 2.If Structured, is there a repository that specifically hosts your type of data? 3.If Unstructured (or no structured repository for your data exists), does your funder or institution mandate deposition to a particular repository? 9
- 10. Institutional Repositories 10 For institutional repository (such as ePrints Soton), select ‘DataCite DOI’ as Repository Name during submission DataCite
- 11. What makes a good Data Descriptor? 11 Decades old dataset Standalone dataset Data that has been used in an analysis article Large consortium dataset Data from a single experiment Data that YOU find valuable and that others might find useful too Data associated with a high impact analysis article
- 12. Scientific Data Collections 12 Specific type of data Output from a specific funder or project
- 13. Visit nature.com/sdata Email scientificdata@nature.com Tweet @ScientificData Honorary Academic Editor Susanna-Assunta Sansone Managing Editor Andrew L. Hufton Data Curation Editor Varsha K. Khodiyar Advisory Panel and Editorial Board including senior researchers, funders, librarians and curators Supported by
Editor's Notes
- #3: Scientific Data is an open-access, peer-reviewed publication for descriptions of scientifically valuable datasets. Our primary article-type, the Data Descriptor, is designed to make your data more discoverable, interpretable and reusable.
- #5: Our article formats differ from standard research articles. Our article sections encourage authors to provide detailed descriptions of their dataset, without emphasis on their interpretation. Data Descriptors also include formal data citations that help the community track dataset reuse and maintain tight linking between the article and the external data records.
- #7: Machine-readable metadata files support each publication, and help maximize reuse value for advanced users.
- #9: http://www.nature.com/scientificdata/for-authors/data-deposition-policies/#recommended-repositories