Supporting Open Collaboration in Science through Explicit and Linked Semantic Description of Processes 1 Information Sciences Institute, University of Southern California 2 Center for Integrated Data Analytics, U.S. Geological Survey 3 Software Engineering for Business Information Systems, Technical University of Munich 4 Civil and Environmental Engineering, Penn State University 5 Center for Limnology, University of Wisconsin Yolanda Gil 1 , Felix Michel 13 , Varun Ratnakar 1 , Jordan Read 2 , Matheus Hauder 3 , Christopher Duffy 4 , Paul Hanson 5 , Hilary Dugan 5 12 th ESWC 2015 Organic Data Science Framework http://www.organicdatascience.org/
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Supporting Open Collaboration in Science through Explicit ...organicdatascience.org/papers/eswc15-talk.pdfMotivation Introduction ODS Framework ODS Architecture ODS Usage Conclusion
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Supporting Open Collaboration in Science through Explicit and Linked Semantic Description of Processes
1Information Sciences Institute, University of Southern California 2Center for Integrated Data Analytics, U.S. Geological Survey3Software Engineering for Business Information Systems, Technical University of Munich4Civil and Environmental Engineering, Penn State University5Center for Limnology, University of Wisconsin
Yolanda Gil1, Felix Michel13, Varun Ratnakar1, Jordan Read2, Matheus Hauder3,
Christopher Duffy4, Paul Hanson5, Hilary Dugan5
12th ESWC 2015
Organic Data Science Frameworkhttp://www.organicdatascience.org/
Evolution of the scientific enterprise from [Barabasi, 2005] extended with the ATLAS Detector Project at the Large Hadron Collider [The ATLAS Collaboration, 2012].
Age of Water is community of hydrologists and limnologiststhat are studying the age of water in an ecosystem.
ENIGMA a consortium for neuroimaging genetics, it includes more than 70 institutions that collaborate to do joint neuroscience studies.
GPF a group of geoscientists publishing a special issue of a journal. The articles follow a similar format in that they include all datasets, software, and workflows used to generate the results in the paper
Community # Pages # Tasks # Tasks with
completed Metadata
Avg. of Task
Completion Rates
# Registered
Users
Age of Water 759 380 350 43.95% 53
ENIGMA 204 80 2 2.50% 6
GPF 239 168 168 26.19% 32
ODS Framework 417 77 61 77.92% 19
ODS Training 1,235 1115 1112 99.64% 36
ODS Usage
Several collaborations using the ODSF:
USC INFORMATION SCIENCES INSTITUTE Felix Michel 18
The Organic Data Science Framework (ODSF) is a new approach for scientific collaboration that opens the science process and enables scientists to formulate new tasks and contribute to tasks posed by others. It is built on a semantic wiki platform.
ODSF captures semantic properties about shared tasks, participants, and other relevant entities.
Provenance of assertions is created and used to credit contributors.
The framework is being used by several communities.
Future work:
Organizing tasks using semantic properties
Supporting setting up process for new communities
USC INFORMATION SCIENCES INSTITUTE Felix Michel 19