Björn BrembsUniversität Regensburg  http://brembs.net
Institutions producepublications, data and software
Dysfunctional scholarlyliterature
•   Limited access                 •   No global search                 •   No functional hyperlinks                 •   N...
Scientific data in peril
Non-existent softwarearchives
Technically feasible today (almost)• No more corporate publishers – libraries  archive everything and make it publicly  ac...
• Institutional email   • No archiving of• Institutional           publications  webspace              • No archiving of• ...
Software to control the experiment and save the data
Software to analyze and visualize the data
However, a version is already available
Get your API keys.Insert them in your Rcode
For instance, produce an image than can be previewed (insteadof a multiple page pdf)
Same type of experiments → samescriptDefault: → same categories    → same tags    → same authors    → same links    → same...
http://dx.doi.org/10.6084/m9.figshare.97792
One person is not aninstitutional infrastructure!
Some technical hurdles towards open science
Some technical hurdles towards open science
Some technical hurdles towards open science
Some technical hurdles towards open science
Some technical hurdles towards open science
Some technical hurdles towards open science
Some technical hurdles towards open science
Some technical hurdles towards open science
Some technical hurdles towards open science
Some technical hurdles towards open science
Some technical hurdles towards open science
Some technical hurdles towards open science
Some technical hurdles towards open science
Some technical hurdles towards open science
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Some technical hurdles towards open science

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My presentation at the DataCite workshop in Cologne, December 12, 2012.

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Some technical hurdles towards open science

  1. 1. Björn BrembsUniversität Regensburg http://brembs.net
  2. 2. Institutions producepublications, data and software
  3. 3. Dysfunctional scholarlyliterature
  4. 4. • Limited access • No global search • No functional hyperlinks • No flexible data visualization • No submission standards • (Almost) no statistics • No text/data-mining • No effective way to sort, filter and discover…it’s like the • No scientific impactweb in 1995! analysis • No networking feature • etc.
  5. 5. Scientific data in peril
  6. 6. Non-existent softwarearchives
  7. 7. Technically feasible today (almost)• No more corporate publishers – libraries archive everything and make it publicly accessible according to a world-wide standard• Single semantic, decentralized database of literature, data and software
  8. 8. • Institutional email • No archiving of• Institutional publications webspace • No archiving of• Institutional blog software• Library access card • No archiving of• Open access data repository
  9. 9. Software to control the experiment and save the data
  10. 10. Software to analyze and visualize the data
  11. 11. However, a version is already available
  12. 12. Get your API keys.Insert them in your Rcode
  13. 13. For instance, produce an image than can be previewed (insteadof a multiple page pdf)
  14. 14. Same type of experiments → samescriptDefault: → same categories → same tags → same authors → same links → same description→ One complete article, in one click.Update the figure:Higher sample size directly publishedwhile analysed, your boss may see theresults before you do! (or you may seethe results of your student before theydo)Possibility to make it public and citablein one click or directly in the R code.
  15. 15. http://dx.doi.org/10.6084/m9.figshare.97792
  16. 16. One person is not aninstitutional infrastructure!

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