The document critiques the shortcomings of current scholarly literature and data integration, comparing it to the early web era with limited access and functionality. It discusses the importance of software infrastructure for managing, analyzing, and visualizing scientific data, highlighting tools like the Figshare API that facilitate data management and publication. The content emphasizes the need for improved standards and features in scientific communication to enhance accessibility and effectiveness.

1. Julien Colomb
Freie Universität Berlin
Björn Brembs
Universität Regensburg
http://brembs.net

2. Institutions produce
publications, data and software

3. Dysfunctional scholarly
literature

4. •
•
•
•
•
•
•
•
•
…it’s like the
web in 1995!
•
•
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
No scientific impact
analysis
No networking feature
etc.

5. Scientific data in peril

10. Non-existent software
archives

13. small data – long tail
Report on Integration of Data and Publications, ODE Report 2011
http://www.alliancepermanentaccess.org/wp-content/plugins/download-monitor/download.php?id=ODE+Report+on+Integration+of+Data+and+Publications
6. Konferenz für Sozial- und Wirtschaftsdaten (6|KSWD) - Wissenschaft 2.0: Open Data als
Kernkomponente von Open Science; Stefan Winkler-Nees, Berlin, 21. Februar 2014

14. One person is not an
institutional infrastructure

16. Software to control the experiment and save the data

17. Software to analyze and visualize the data

25. The figshare API allows you to push
data to figshare, or pull data out.
This first version is a basic
implementation that allows you to
manage your figshare account or
build applications on top of the
figshare platform and public
research.

28. 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.

29. http://dx.doi.org/10.6084/m9.figshare.97792