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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. - PowerPoint PPT Presentation
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Tales of Drivers and Barriers to Data
SharingAPA 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•ODE: Objectives
•Background: To share or not to share
•WP3 Approach: To build a baseline; talk,
talk, ...
• Tales: Of drivers and barriers in data
sharing
•Barriers and drivers: Perspectives of
data sharing
•Outlook: The next steps
ODE PROJECT„The project will identify, collate, interpret
and deliver evidence of emerging best
practices in sharing, re-using, preserving
and citing data, the drivers for
http://ode-project.eu
these changes and
barriers impeding
progress, in forms
suited to each
audience.“
APPROACH
Collection of
"success stories”,
“near misses” and
“honourable
failures” in data
sharing, re-use and
preservation.http://www.flickr.com/photos/smiling_da_vinci/14785644/
http://www.flickr.com/photos/angusmci/450227446/
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
RESULTS
•75 page report (ode-project.eu/ode-
output)
• contains
•“stories”: Primary data (factual errors
corrected)
•“hypotheses”: Derived data
• hypotheses sorted into 14 categories
HYPOTHESES
“Without the infrastructure that 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)
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)
TALESWas 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)
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.”
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.”
BARRIERS AND DRIVERS
data sharing
education
legislation funding
culture & attitude quality
policiescooperation
Infrastructure
publishing & visibility data flow improvements disciplines
accreditation & certification
career efficiency
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
OUTLOOK•ODE WP5 is using our output (as well as
WP4‘s)
in their questionaire which will result in a
more quantitative analysis of drivers and
barriers
• The „Tales“ and hypotheses are a basis to
re-examine the inter-relationship of
„openness“ and attitudes, codes of
conduct, funding, teaching, support and
„physical“ infrastructures