Your SlideShare is downloading. ×
The Dryad Digital Repository: Published data as part of the greater data ecosystem
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.

Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

The Dryad Digital Repository: Published data as part of the greater data ecosystem


Published on

Presented at the M3 and Biosharing Special Interest Group (SIG) meeting at ISMB 2010 in Boston, MA:

Presented at the M3 and Biosharing Special Interest Group (SIG) meeting at ISMB 2010 in Boston, MA:

Published in: Education, Technology

1 Like
  • Be the first to comment

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. The Dryad Digital Repository: Published data as part of the greater data ecosystem Todd Vision, Hilmar Lapp National Evolutionary Synthesis Center (NESCent) NESCent Kevin Clarke Heather Piwowar Peggy Schaeffer Ryan Scherle UNC-CH <MRC> Sarah Carrier Elena Feinstein Jane Greenberg Hollie White Kristin Antelman (NCSU) Bill Michener (UNM / DataONE) Bill Piel (Yale / TreeBASE) Funding: NSF, IMLS
  • 2. Henry Oldenburg
  • 3. Use and reuse of archived data in evolutionary biology • n=27 articles from 5 journals Use previously published data: Provide supplementary data: Provide supplementary materials: GenBank submission honored: 0 25 50 75 100 100 41 7 48 % articles
  • 4. Sharing data on request is not effective • Wicherts et al (2006) requested data from 141 articles in the field of psychology.  “6 months later, after … 400 emails, [sending] detailed descriptions of our study aims, approvals of our ethical committee, signed assurances not to share data with others, and even our full resumes…” only 27% of authors complied • In a survey among geneticists by Campbell et al. (2002) the most frequent reason for withholding data was the effort required to share it (80%).  28% were unable confirm others published research because of data withholding.
  • 5. Archiving at the time of publication is effective • The point in time when authors are most prepared to archive their data. No opportunity for loss, corruption, etc., of data files • Publication can be both carrot and stick. • The “GenBank model” is uniquely successful.
  • 6. Further incentives to authors • Increases impact of one’s own work • A quid pro quo for access to others’ data • Relief from the burden of ad hoc data sharing
  • 7. Evoldir survey March 2008 n=414 “Do you think the data underlying published scientific results should be made publicly accessible?”  Yes: 395 (95.4%)  No: 19 (4.6%) “If yes, do you think journals should require data sharing of their authors, or should it be voluntary?”  Required: 220 (55.6%)  Voluntary: 176 (44.4%)
  • 8. Joint Data Archiving Policy Data are important products of the scientific enterprise, and they should be preserved and usable for decades in the future. [This journal] requires, as a condition for publication, that data supporting the results in the article should be deposited in an appropriate public archive. Authors may elect to … embargo access to the data for a period up to a year after publication. Exceptions may be granted at the discretion of the editor, especially for sensitive information such as human subject data or the location of endangered species. Whitlock, M. C., M.A. McPeek, M. D. Rausher, L. Rieseberg, and A. J. Moore. 2010. Data Archiving.American Naturalist. 175(2):145-146. DOI:10.1086/650340
  • 9. So where is this “appropriate public archive”?
  • 10. Potential archiving solutions Specialized databases (e.g. GenBank, TreeBase) Will cover some datatypes well, some not at all; High quality data, but with greater submission burden; May have issues with sustainability. Supplementary materials online Publisher provides basic infrastructure, but with low level of service. Author-managed websites Avoids some of the hazards of informal sharing, but is fragile. Or ...
  • 11. • Functional goals  To publish and preserve the data reported in the biological literature.  To promote reuse of the data. • Organizational goals  Governance is shared by a consortium of journals.  Responsible long-term stewardship. Dryad - A shared public archive
  • 12. • Permanent identifiers (DOIs), trackable data citations • Explicit terms (CCZero) for reuse • No paywall to access • Searchable across publishers & repositories • Metadata enhanced for discoverability • Support for standard APIs • Commitment to preservation in perpetuity • Migration of formats, files updatable • Support for embargoes Dryad - A shared public archive
  • 13. 14
  • 14. Dryad is a digital library not a traditional bioinformatics database
  • 15. Repository priorities Integration Sharing Discovery Preservation
  • 16. Repository priorities Integration Sharing Discovery Preservation Dryad’s scope
  • 17. Low-burden for deposition published data (with article citation) published article (with data citation) DRYAD JOURNAL prepare manuscript and related data files submit manuscript editor manuscript review curation send article description Dryad data package accepted? yesno send data identifier (DOI) author accepted? data curator upload data
  • 18.     engaging  the  scien+st   in  the  data  cura+on   process     suppor+ng  the  full   data  life  cycle     encouraging  data   stewardship  and  sharing     promo+ng  best   prac+ces     engaging  ci+zens     developing  domain-­‐ agnos+c  solu+ons 1.    Build  on  exis0ng   cyberinfrastructure 2.  Create  new   cyberinfrastructure 3.  Support  new   communi0es  of  prac0ce DataONE:  An  Interopera0ng  Consor0um
  • 19. Distributed  framework Flexible,  scalable,   sustainable  network  of   Member  Nodes  and   Coordina0ng  Nodes  
  • 20. Lessons from Dryad (so far) • The importance of journals in data publication. • The value of a shared public repository to promotion of data reuse. • The delicate balance of benefit and burden to data authors. • The need to break down data silos. • Achieving long-term data preservation by achieving long-term organizational sustainability.
  • 21. To learn more: Blog: Wiki: Users list: Developers: Code: Follow us on Facebook & Twitter