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Collaborative platforms for streamlining
        workflows in Open Science

Konrad U. F¨rstner, Gregor Hagedorn, Claudia Koltzenburg,
           o
           M. Fabiana Kubke, Daniel Mietchen




             July 30th, 2011 – OKCon 2011, Berlin
About this work


              Wiki base version of the manuscript:

                  http://is.gd/openworkflows
Problem: There are many gaps in the scientific process




                    Time consuming and often annoying
                    Loss of information




http://www.flickr.com/photos/eirikref/403363597 – CC-BY by flick user eirikref
A proposal for improved scientific workflow




                   Seamless transition from bench to publication
                   Based on Virtual Research Environments (VRE)
                   Transparency, reproducibility & reusability
                   Formalization
                   Reputation system included




http://commons.wikimedia.org/wiki/File:Future73nb.jpg – PD
Conception and project planning




                    Utilizing collective intelligence
                    Management tools can help to handle complex projects




http://www.flickr.com/photos/marksurman/3604105727/ – CC-BY by flick user marksurman
Experiments and data generation




                    More automation needed (ideally via Open Hardware)
                    Formal language to design/program experiments




http://www.flickr.com/photos/kaibara/2072160194/ – CC-BY by flick user kaibara
Data storage = data release




                    Publish data immediately in a machine-readable form
                    Every entity gets an unique identifiers (⇒ referable)




http://www.flickr.com/photos/wilhei/109404222/ – CC-BY by flick user wilhei
Data analysis




                   Scripting / programming or recording of GUI-tool actions
                   Good examples: Taverna or Galaxy
                   Grid computing if needed / possible




http://commons.wikimedia.org/wiki/File:Plastic_tape_measure.jpg – CC-BY by Wimedia Commons user Pastorius
Knowledge generation




                    Again: Collaborative - increase the number of brains involved
                    Again: Formalization - e.g. argument maps which link to
                    results and literature




http://www.flickr.com/photos/diana_blackwell/2597258115/ – CC-BY by flick user diana blackwell
Final publication




                    Little effort: linking to the major outcomes and putting them
                    into the scientific context




http://www.flickr.com/photos/yorkjason/3265889476/ – CC-BY by flickr user yorkjason
Implementation - Technology




                    Most needed building blocks are available (as FLOSS) –
                    “just” need to be connected
                    Open standards needed
                    Domain specific solutions should be created by the
                    communities




http://www.flickr.com/photos/tallkev/256810217/ – CC-BY by flickr user tallkev
Implementation - Reputation




                    Microcontribution ⇒ Microattribution (e.g. ORCID based)




http://www.flickr.com/photos/tallkev/256810217/ – CC-BY by flickr user tallkev
Implementation - Licenses




                    Ideally: Public domain / CC0 (see Panton Principle)




http://www.flickr.com/photos/subcircle/500995147 – CC-BY by flickr user subcircel
Implementation - Funding




                     Long term aim: Funding agencies require the usage of such
                     Open Science workflows (worked for OA)




– CC-BY by flickr user therichbrooks
Dealing with the cultural clash via a gradual approach




            Proposed infrastructure but with fine granular access control and a
            smaller number of participants.




http://www.everystockphoto.com/photo.php?imageId=1761122 – source: The Library of Congress
Take home messages in a nut shell




                    All steps of the research process can be represented in /
                    connected to VREs
                    Gaps between the steps are minimized
                    Gain of transparency, reproducibility & reusability
                    Main problems are not technical but cultural/political




http://www.flickr.com/photos/marcoarment/3129076932 – CC-BY by flickr user marcoarment
http://www.flickr.com/photos/nateone/3768979925/ – CC-BY by flick user nateone

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Collaborative platforms for streamlining workflows in Open Science

  • 1. Collaborative platforms for streamlining workflows in Open Science Konrad U. F¨rstner, Gregor Hagedorn, Claudia Koltzenburg, o M. Fabiana Kubke, Daniel Mietchen July 30th, 2011 – OKCon 2011, Berlin
  • 2. About this work Wiki base version of the manuscript: http://is.gd/openworkflows
  • 3. Problem: There are many gaps in the scientific process Time consuming and often annoying Loss of information http://www.flickr.com/photos/eirikref/403363597 – CC-BY by flick user eirikref
  • 4. A proposal for improved scientific workflow Seamless transition from bench to publication Based on Virtual Research Environments (VRE) Transparency, reproducibility & reusability Formalization Reputation system included http://commons.wikimedia.org/wiki/File:Future73nb.jpg – PD
  • 5. Conception and project planning Utilizing collective intelligence Management tools can help to handle complex projects http://www.flickr.com/photos/marksurman/3604105727/ – CC-BY by flick user marksurman
  • 6. Experiments and data generation More automation needed (ideally via Open Hardware) Formal language to design/program experiments http://www.flickr.com/photos/kaibara/2072160194/ – CC-BY by flick user kaibara
  • 7. Data storage = data release Publish data immediately in a machine-readable form Every entity gets an unique identifiers (⇒ referable) http://www.flickr.com/photos/wilhei/109404222/ – CC-BY by flick user wilhei
  • 8. Data analysis Scripting / programming or recording of GUI-tool actions Good examples: Taverna or Galaxy Grid computing if needed / possible http://commons.wikimedia.org/wiki/File:Plastic_tape_measure.jpg – CC-BY by Wimedia Commons user Pastorius
  • 9. Knowledge generation Again: Collaborative - increase the number of brains involved Again: Formalization - e.g. argument maps which link to results and literature http://www.flickr.com/photos/diana_blackwell/2597258115/ – CC-BY by flick user diana blackwell
  • 10. Final publication Little effort: linking to the major outcomes and putting them into the scientific context http://www.flickr.com/photos/yorkjason/3265889476/ – CC-BY by flickr user yorkjason
  • 11. Implementation - Technology Most needed building blocks are available (as FLOSS) – “just” need to be connected Open standards needed Domain specific solutions should be created by the communities http://www.flickr.com/photos/tallkev/256810217/ – CC-BY by flickr user tallkev
  • 12. Implementation - Reputation Microcontribution ⇒ Microattribution (e.g. ORCID based) http://www.flickr.com/photos/tallkev/256810217/ – CC-BY by flickr user tallkev
  • 13. Implementation - Licenses Ideally: Public domain / CC0 (see Panton Principle) http://www.flickr.com/photos/subcircle/500995147 – CC-BY by flickr user subcircel
  • 14. Implementation - Funding Long term aim: Funding agencies require the usage of such Open Science workflows (worked for OA) – CC-BY by flickr user therichbrooks
  • 15. Dealing with the cultural clash via a gradual approach Proposed infrastructure but with fine granular access control and a smaller number of participants. http://www.everystockphoto.com/photo.php?imageId=1761122 – source: The Library of Congress
  • 16. Take home messages in a nut shell All steps of the research process can be represented in / connected to VREs Gaps between the steps are minimized Gain of transparency, reproducibility & reusability Main problems are not technical but cultural/political http://www.flickr.com/photos/marcoarment/3129076932 – CC-BY by flickr user marcoarment