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Björn Brembs
Universität Regensburg
  http://brembs.net
Institutions produce
publications, data and software
Dysfunctional scholarly
literature
•   Limited access
                 •   No global search
                 •   No functional hyperlinks
                 • ...
Scientific data in peril
Non-existent software
archives
Technically feasible today (almost)

• No more corporate publishers – libraries
  archive everything and make it publicly
...
• 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 R
code
For instance, produce an image than can be previewed (instead
of a multiple page pdf)
Same type of experiments → same
script
Default: → same categories
    → same tags
    → same authors
    → same links
    ...
http://dx.doi.org/10.6084/m9.figshare.97792
One person is not an
institutional 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.

Some technical hurdles towards open science

  1. 1. Björn Brembs Universität Regensburg http://brembs.net
  2. 2. Institutions produce publications, data and software
  3. 3. Dysfunctional scholarly literature
  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 impact web in 1995! analysis • No networking feature • etc.
  5. 5. Scientific data in peril
  6. 6. Non-existent software archives
  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 R code
  13. 13. For instance, produce an image than can be previewed (instead of a multiple page pdf)
  14. 14. Same type of experiments → same script Default: → same categories → same tags → same authors → same links → same description → One complete article, in one click. Update the figure: Higher sample size directly published while analysed, your boss may see the results before you do! (or you may see the results of your student before they do) Possibility to make it public and citable in 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 an institutional infrastructure!
  • DmitriUno

    Nov. 4, 2018

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

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