Building data networks: exploring trust and interoperability between authoris, repositories and journals
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Building data networks: exploring trust and interoperability between authoris, repositories and journals. Varsha Khodiyar , Scientific Data; Neil Chue Hong, Journal of Open Research Software; Rachael Kotarski, DataCite, Peter McQuilton, BioSharing; Reza Salek, Metabolights. At Repository Fringe 2015
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Building data networks: exploring trust and interoperability between authoris, repositories and journals
- 1. • Varsha Khodiyar, Scientific Data • Neil Chue Hong, Journal of Open Research Software • Rachael Kotarski, DataCite • Peter McQuilton, BioSharing • Reza Salek, Metabolights Building data networks: exploring trust and interoperability between authors, repositories and journals Repository Fringe 2015
- 3. 3 Why work with a data journal?
- 4. What do data journals require? Our general criteria 1. Recognized within their scientific community 2. Long-term preservation of datasets 3. Implement relevant reporting standards 4. Allow confidential review of submitted datasets 5. Stable identifiers for submitted datasets 6. Allow public access to data without unnecessary restrictions Questionnaire online for new repositories requesting listing: http://www.nature.com/sdata/data-policies#repo-suggest List of repositories: http://www.nature.com/sdata/data-policies/repositories
- 5. Software Sustainability Institute www.software.ac.uk Neil Chue Hong Director, Software Sustainability Institute Editor-in-Chief, Journal of Open Research Software Repository Fringe 2015, Edinburgh, 3-4 August 2015 Neil Chue Hong (@npch), Software Sustainability Institute ORCID: 0000-0002-8876-7606 | N.ChueHong@software.ac.uk Unless otherwise indicated these slides licensed under Supported by Project funding from
- 6. Software Sustainability Institute www.software.ac.uk A Journal for Software Papers http://openresearchsoftware.metajnl.com
- 7. Software Sustainability Institute www.software.ac.uk JORS software metapaper
- 8. Software Sustainability Institute www.software.ac.uk ReferencesReuse ScreenshotsIntroduction Implementation + Usage Anatomy of a software meta- paper Metadata Metadata Quality Control
- 9. www.bl.uk 9 DataCite UK • 52 Data Centres / Universities / other organisations using DataCite in the UK • Assigning DOIs to data, theses and software among other things
- 10. www.bl.uk 10 British Library Leverage the Library’s collections and expertise to drive innovation in large-scale data analytics, for the wider benefit of UK research • Providing our digital collections as ‘data’ – http://labs.bl.uk/ – http://www.bl.uk/bibliographic/datafree.html • Alan Turing Institute will be physically hosted in the British Library building
- 14. A web-based, curated and searchable portal where biological standards and databases are registered, linked and discoverable. We monitor the development and evolution of standards, their use in databases and the adoption of both in data policies.
- 15. Researchers, developers and curators lack support and guidance on which format or checklist standards to use, or database to deposit their data. Journal publishers, funders and librarians do not have enough information to make informed decisions on which content standards or database to recommended in policies, or fund or implement. Our mission: To help people make the right choice
- 16. Our funders Our team Our collaborators
Editor's Notes
- Scientific Data launched in May 2014, introducing a new type of content called the Data Descriptor designed to make data more discoverable, interpretable and reusable. Check out our first publications online. Our Data Descriptors fall broadly into two categories First descriptions of datasets These often describe valuable, unpublished datasets that may be hard to fit into a traditional research article context. See our first publications for clear demonstrations that Scientific Data can help motivate scientists to share valuable datasets that might not have otherwise seen the light day. Follow-up articles These articles provide fuller descriptions and more complete release of datasets analysed in previous publications. In these cases, the value of the underlying datasets is often already well-demonstrated, but for groundbreaking studies, where there are not established standards or data repositories, a substantial amount of additional information is often needed before others can actually reuse the data. Data Descriptors at Scientific Data help motivate the authors to release datasets more fully, and the Data Descriptor manuscripts can provide more detailed descriptions of the data collection methods and the data file formats—essential information for others who may wish to reuse the data.
- Visibility for repository Subject specific data is stored with other related data, easier discovery for researchers
- A metajournal which encourages the publication of information that encourages the reuse of software. A way of using the current tools and practices to make software better recognised.
- I am part of the team running DataCite in the UK. We work with organisations to provide persistent identifiers in the form of DOIs for their research data – although they are applied to other objects as well.
- My other role is generally looking at the data activities of the Library. This is important for the Library right now, as one of the key aims of the Library’s current strategy (‘Living Knowledge’) is this: