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Tales of Drivers and Barriers to Data S haring

Tales of Drivers and Barriers to Data S haring. APA Conference 2011 Hans Pfeiffenberger (a ), Angela Schäfer (a ), Heinz Pampel (a) Sünje Dallmeier-Tiessen ( b) , Satu Tissari (c ), ( a ) Helmholtz Association , ( b) CERN, ( c) CSC - IT Center for Science. AGENDA.

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Tales of Drivers and Barriers to Data S haring

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  1. Tales of Drivers and Barriers to Data Sharing APA Conference 2011 Hans Pfeiffenberger (a), Angela Schäfer (a), Heinz Pampel (a) SünjeDallmeier-Tiessen(b), Satu Tissari (c), (a) Helmholtz Association, (b) CERN, (c) CSC - IT Center for Science

  2. AGENDA • ODE: Objectives • Background: Toshare or not to share • WP3 Approach: Tobuild a baseline; talk, talk, ... • Tales: Of drivers and barriers in data sharing • Barriers and drivers: Perspectives of data sharing • Outlook: The next steps

  3. ODE PROJECT • „The project will identify, collate, interpretanddeliverevidenceofemergingbestpractices in sharing, re-using, preservingandcitingdata, thedriversfor thesechangesandbarriersimpedingprogress, in formssuitedtoeachaudience.“ • http://ode-project.eu

  4. BACKGROUND et al

  5. BACKGROUND et al

  6. BACKGROUND

  7. BACKGROUND Illustration: http://www.nature.com/news/specials/datasharing/index.htm

  8. APPROACH • Collectionof"success stories”, “near misses” and “honourable failures” in data sharing, re-use and preservation. http://www.flickr.com/photos/angusmci/450227446/ http://www.flickr.com/photos/smiling_da_vinci/14785644/

  9. APPROACH • Scientific communities • Infrastructure initiatives • Management and policy initiatives • Additional stakeholders http://www.flickr.com/photos/ninagerlach/4000899160 http://www.flickr.com/photos/theplanetdotcom/4878815203 http://www.flickr.com/photos/dukeenergy/4755090944 http://www.flickr.com/photos/gastineauguiding/4473745967

  10. RESULTS • 75 page report (ode-project.eu/ode-output) • contains • “stories”: Primary data (factual errors corrected) • “hypotheses”: Derived data • hypotheses sorted into 14 categories

  11. HYPOTHESES “Without the infrastructurethat helps scientists manage their data in a convenient and efficient way, no culture of data sharing will evolve.” Stefan Winkler-Nees (Deutsche Forschungs-Gemeinschaft, DFG)

  12. TALES “[Researchers would prefer] just one point of access to all data, which would be simple to use and ‘fool proof’.” But she suspects it is wishful thinking to ask for Google-like simplicity when one looks for “chlorophyll data in the Atlantic at 200 meters depth” Karin Lochte (Alfred Wegener Institute for Polar and Marine Research)

  13. TALES Was PI of ADEPD, which built up a joint data base for deep sea biological and geochemical data from a variety of sources. 1775 published and unpublished data sets were collected in two years Learned that one may need to to pay research groups to prepare their (existing) data for incorporation in the ADEPD database Karin Lochte (Alfred Wegener Institute for Polar and Marine Research)

  14. HYPOTHESES, EXPECTED • Category: Infrastructure • “An international research community needs an international data infrastructure and international support.” • "After decades of reports with data in their titles the community found inadequate services almost no international support and few solutions.”

  15. TENSION between HYPOTHESES • Cat: Legislation, Education, Behaviour • “Premature data releases should not be enforced, but the mere possibility of data misinterpretation is no reason for not sharing data.” • “To avoid misuse and lack of acknowledgement of very special data, access should be restricted to skilled persons trained by the data creator.”

  16. BARRIERS AND DRIVERS accreditation & certification education culture & attitude quality legislation funding cooperation policies datasharing publishing & visibility data flow improvements disciplines Infrastructure career efficiency

  17. WHAT -- YOU -- CAN DO • READ stories! (DERIVE your own hypotheses?) • RE-ORGANIZE hypotheses! (further categories?) • CONSIDER context, position of each interviewee! • As an infrastructure provider, learn what your clients need • As a funder, learn what you can mandate (today, in the future), what you must pay for

  18. OUTLOOK • ODEWP5isusingouroutput (aswellas WP4‘s) in theirquestionairewhich will result in a more quantitative analysisofdriversandbarriers • The „Tales“ andhypothesesare a basistore-examinetheinter-relationshipof „openness“ andattitudes, codesofconduct, funding, teaching, supportand „physical“ infrastructures

  19. THANKS • http://ode-project.eu/ode-outputs

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