Your SlideShare is downloading. ×
  • Like
  • Save
Publishing Open Data: Incentivising Rigour
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.


Now you can save presentations on your phone or tablet

Available for both IPhone and Android

Text the download link to your phone

Standard text messaging rates apply

Publishing Open Data: Incentivising Rigour


Talk given at the Oxford Future of Science conference on April 12, 2013.

Talk given at the Oxford Future of Science conference on April 12, 2013.

Published in Technology , Education
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads


Total Views
On SlideShare
From Embeds
Number of Embeds



Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

    No notes for slide


  • 1. Publishing Open Data: Incentivising RigourBrian HoleOxford Future of Science Conference, 12 April 2013 / @ubiquitypress
  • 2. / @ubiquitypress
  • 3. The Social Contract of Science • Dissemination • Validation • Further development Scientific Malpractice • Researchers • Publishers • Libraries, repositories… / @ubiquitypress
  • 4. / @ubiquitypress
  • 5. Openness can incentivise rigour in researchWicherts JM, Bakker M, Molenaar D (2011) Willingness to Share Research Data Is Related to the Strength of the Evidence and theQuality of Reporting of Statistical Results. PLoS ONE 6(11): e26828. doi:10.1371/journal.pone.0026828 / @ubiquitypress
  • 6. Repositories Modified from: XKCD / @ubiquitypress
  • 7. Metajournals as incentives / @ubiquitypress
  • 8. Data journals • Data is already citable (e.g. with DataCite DOIs) but this is not something researchers are familiar with doing. • Even when used, DataCite DOIs cannot currently be used for citation tracking. / @ubiquitypress
  • 9. What is a data paper? A data paper… • … describes the methodology with which a dataset was created. • … describes the dataset itself. • … details the reuse potential of the data. • … is often authored by a data scientist. • … is citable, enabling reuse to be tracked. A data paper is not… • … a research paper. A data paper only describes a dataset. But it will reference research papers that are based on the data. • … simply replication of the information in a data / @ubiquitypress
  • 10. Peer review 1. The paper contents a. The methods section of the paper must provide sufficient detail that a reader can understand how the resource was created. b. The resource must be correctly described. c. The reuse section must provide concrete and useful suggestions for reuse of the reuse. 2. The deposited resource a. The repository must be suitable for resource and have a sustainability model. b. Open license permits unrestricted access (e.g. CC0). c. A version in an open, non-proprietary format. d. Labeled in such a way that a 3rd party can make sense of it. e. Must be / @ubiquitypress
  • 11. Low barriers are essential • Online authoring • Short, concise metadata format • Repository integration • Review best practices, not groundbreaking science • £25 APC / @ubiquitypress
  • 12. / @ubiquitypress
  • 13. @ubiquitypress brian.hole@ubiquitypress.comLinks / @ubiquitypress