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Tales of Drivers and Barriers to Data Sharing 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

Tales of Drivers and Barriers to Data S haring

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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.“

BACKGROUND

et al

BACKGROUND

et al

BACKGROUND

BACKGROUND

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

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

THANKS

http://ode-project.eu/ode-outputs