Research data management and UK funding policies
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Transcript Research data management and UK funding policies
Geophysical observatories, multifunctional GIS and data mining
30 September - 3 October 2013, Kaluga, Russia
THE CODATA STRATEGIC PLAN
2013-2018
John Broome
CODATA Treasurer
www.codata.org
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CODATA
• Created by ICSU in 1966 as an interdisciplinary body
focused on scientific and technical data.
• CODATA is an influential voice in national and
international policy regarding scientific data
management and a focal point for international, crossdisciplinary collaboration, and communication on key
scientific data issues.
• CODATA has made significant contributions to:
– The improvement of scientific data development, analysis,
and visualization in key fields.
– The overall advancement and application of science
internationally.
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CODATA’s Mission
To strengthen international science for the
benefit of society by promoting improved
scientific and technical data management
and use.
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CODATA’s Leadership
• President: Prof. Huadong GUO (China)
• Vice President: Prof. Takashi GOJOBORI (Japan)
• Vice President: Prof. Fedor KUZNETSOV (Russia)
• Secretary General: Sara GRAVES (USA)
• Treasurer: John BROOME (Canada)
• Executive Director: Simon HODSON (France)
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New Executive Director
• This summer Dr. Simon Hodson joined
CODATA as Executive Director.
• Simon brings with him extensive data
science expertize and is well equipped to
support CODATA in the implementation of
the new strategic plan.
• Simon is an active Twitter user and
recently establish a CODATA Blog.
• Simon can be cantacted at
[email protected]
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CODATA Executive Committee
Prof. Niv AHITUV (Israel)
Prof. Alok BHATTACHARYA (India)
Bonnie CARROLL (USA)
Prof. Hiro-o HAMAGUCHI (Japan)
Dr. Der-Tsai LEE (Academy of Sciences located in Taipei, China)
Refiloe MABASO (South Africa)
Mark THORLEY (UK)
Mary ZBOROWSKI (Canada)
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Key Research Data Challenges
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Developing data science as a discipline.
Ensuring that data are openly accessible by default, but with
clarity about the limits of openness.
Improvement of the international research data infrastructure.
Life-cycle management of data of ever increasing volume and
complexity.
Effectively linking data to publications, systematic citation of
data; and ensuring researchers receive credit.
Provision and harmonization of data policy instruments to
support multidisciplinary research initiatives.
Integration and analysis of physical and social sciences data to
address key global problems.
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CODATA’s Strategic Plan
• In order to address these research data challenges and
guide and prioritize its activities, the CODATA Executive
Committee prepares a Strategic plan every 5 years.
• The current 2013-2018 Strategic Plan was recently
released and is accessible on the CODATA website.
http://www.codata.org/CODATA_Strategic_%20Plan_2013-2018.pdf
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Three Cross-cutting Strategic Initiatives
1)
Policy and Institutional Frameworks for Data
CODATA will establish a Data Policy Committee of international
experts to provide expertise to Future Earth, Integrated Research
on Disaster Risk (IRDR), and other ICSU initiatives; and lead
forums on open access and OECD guidelines and principles.
2) Frontiers in Data Science and Technology
CODATA will focus its activities on data frontiers more
strategically through task groups, workshops, and initiatives such
as the ongoing work on nanomaterials.
3) Data Strategies for International Science
CODATA will also move to formalize its relationship with ICSU
Unions, the World Data System (WDS), the Research Data Alliance
(RDA), GEO, and other international initiatives, and standards
bodies
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1) Policy and Institutional Frameworks
for Data
•
Through its broad network of international
multidisciplinary data policy experts, CODATA is
uniquely positioned to provide comprehensive and
objective data policy advice.
•
CODATA will establish a Data Policy Committee of
international experts to provide expertise to Future
Earth, Integrated Research on Disaster Risk (IRDR),
and other ICSU initiatives;
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The Data Policy Committee will :
• Initiate and lead forums on open access, research funder policies,
legislative frameworks, good practice, open data agenda.
• Promote publicly access to the outputs of publicly funded research to
achieve greater return on investments through reuse of research data.
• Build on OECD principles.
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2) Frontiers in Data Science and
Technology
CODATA will target data frontiers through activities
such as:
• Continue current activities: nanotechnology,
data for sustainable development, approaches
to data recovery.
• Convene with WDS an international Science
Data Conference: “SciDataCon 2014” - New
Delhi, 2-5 Nov. 2014.
• Selection and support of selected task and
working Groups (e.g. Young Data Scientists).
• Reinvigorate the CODATA Data Science Journal.
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3) Data Strategies for International
Science
• CODATA will provide data management
support (including infrastructure, policies,
processes, standards) to major scientific
programs such as:
1) Integrated Research on Disaster Risk
2) Future Earth
•
CODATA will take a leadership role in
developing productive partnerships with ICSU
Unions, the World Data System (WDS), the
Research Data Alliance (RDA), GEO, and other
international initiatives, and standards bodies.
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CODATA Data Policy
Committee
Core membership:
• Mark Thorley (NERC, chair),
• Paul Uhlir (US, NAS),
• Tyng-Ruey Chuang (Academia Sinica, Taipei),
• Usha Munshi (Indian Statistical Institute).
Call for members and expansion to 10-12 international experts.
Activities:
• Prepare model data policies and engage in validation and iteration with
internal and external stakeholders.
• Apply international multidisciplinary perspective to policy making.
• Helps CODATA address national expert agenda setting activity.
• Addresses ICSU initiatives: Future Earth, ‘Report on Open Access and
metrics for evaluation’.
On Data Policies…
Important to think about how communities reach agreements,
relationship between practitioners and policy makers…
An expression of a Social Contract “This is how we conduct
research”
… also a contract: “This is what is expected in return for
research funding…”
Different types of data policies:
• International governmental principles (OECD)
• Funders (US, UK, EC, Allianz)
• International research initiatives (IPY,, GEOSS)
• Journal editorial boards (Dryad JDAP)
• Research institutions (Universities)
Data Policy Principles: OECD
Builds on 2004 OECD Declaration on Access to Research Data from
Public Funding
http://acts.oecd.org/Instruments/ShowInstrumentView.aspx?Instrum
entID=157&Lang=en&Book=False
2007 OECD Principles and Guidelines for Access to Research Data
from Public Funding: http://www.oecd.org/sti/sci-tech/38500813.pdf
Data outputs of publicly funded research should be openly available
with as little restriction and cost as necessary.
Asserts principles of Openness, Flexibility, Transparency, Legal
Conformity, Protection of Intellectual Property, Formal Responsibility,
Professionalism, Interoperability, Quality, Security, Efficiency,
Accountability, Sustainability.
Data Citation, Standards and
Practices
Co-Chairs: Christine Borgman, Jan Brase, Sarah Callaghan; Consultant: Paul Uhlir; see
http://www.codata.org/taskgroups/TGdatacitation/index.html
Involvement of a range of key organisations and experts.
Major Report Out of Cite, Out of Mind to be released in September 2013
Forceful set of ‘First Principles’ for data citation:
1.
Status of Data: Data citations should be accorded the same importance in the scholarly record as the
citation of other objects.
2.
Attribution: Citations should facilitate giving scholarly credit and legal attribution to all parties
responsible for those data.
3.
Persistence: Citations should be as durable as the cited objects.
4.
Access: Citations should facilitate access to data by humans and by machines.
5.
Discovery: Citations should support the discovery of data and their documentation.
6.
Provenance: Citations should facilitate the establishment of provenance of data.
7.
Granularity: Citations should support the finest grained description necessary to identify the data.
8.
Verifiability: Citations should contain information sufficient to identify the data unambiguously.
9.
Metadata Standards: Citations should employ widely accepted metadata standards.
10. Flexibility: Citation methods should be sufficiently flexible to accommodate the variant practices
among communities.
Strategy Implementation
• CODATA has developed a scientific agenda
based on both “bottom up” and “top
down” considerations.
• “Bottom up” initiatives are solicited
through the CODATA Task Group system.
• “Top down” initiatives respond to specific
requirements and opportunities identified
by ICSU, CODATA’s members, and the
Executive Committee.
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What can CODATA do for You?
1. A membership organization, members get out what they put it …
2. CODATA is uniquely international and multidisciplinary with expertize in both physical
and social sciences/humanities data policy.
3. CODATA offers both a voice/community for data scientists and those interested in
data and ……. expertize to initiatives needing support and expertise to address their
data challenges.
4. Isn’t the “data space” a crowded area ???? CODATA works closely with WDS and RDA
to avoid overlap and ensure collaboration.
5. CODATA is keen to engage with international scientific unions, multidisciplinary
initiatives, and organizations.
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