Publishing Data in the context of ICSU World Data System
Mustapha Mokrane Executive Director International Programme
Office
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ICSU World Data System ICSUs long-term vision is of a world
where excellence in science is effectively translated into policy
making and socio- economic development. In such a world, universal
and equitable access to scientific data and information is a
reality
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2.29 WDS-SC Members and WDS-IPO Staff Scientific Committee
20122015 Bernard Minster (Chair, USA) Michael Diepenbroek (Germany)
Franoise Genova (France) Claudia Emerson (Canada) Sandra Harrison
(UK) Wim Hugo (South Africa) Jane Hunter (Australia) Vasily Kopylov
(Russian Fed.) Guoqing Li (China) Ruth Neilan (USA) Lesley Rickards
(UK) Ryosuke Shibasaki (Japan) Ariel Troisi (Argentina) Howard
Moore (Ex officio, ICSU) Yasuhiro Murayama (Ex officio, NICT)
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WDS Members Scientific Data Services: Assist organizations in
the capture, storage, curation, long-term preservation, discovery,
access, retrieval, aggregation, analysis, and/or visualization of
scientific data, as well as in the associated legal frameworks, to
support disciplinary and multidisciplinary scientific
research.
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WDS Membership 57 Regular Organizations that are data stewards
and/or data analysis services 10 Networks umbrella bodies
representing groups of data stewardship organizations and/or data
analysis services (EOSDIS, IODE, IVOA...) 3 Partners Contribute
support to WDS Membership (DataCite) 17 Associates Interested in
the WDS endeavour
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WDS Membership Regular Members Network Members
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Strategic Plan 20142018
https://www.icsu-wds.org/organization/strategic-plan
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Strategic Targets 1)Make trusted data services an integral part
of international collaborative scientific research 2)Nurture active
disciplinary and multidisciplinary scientific data services
communities 3)Improve the funding environment for Scientific Data
Services 4)Improve trust in and quality of open Scientific Data
Services 5)Position WDS as the premium global multidisciplinary
network for quality-assessed scientific research data
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ST4: Improve the trust in, and quality of, open scientific data
services facilitating access to, and use or reuse of datasets
through Data Publication Publishing Data 100+ participants at the
RDAWDS Publishing Data Interest Group breakout session: Dublin,
March 2014
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The Long Tail Fitness for use Total volume of scientific data
Managed & published data Large scale monitoring, computed data,
and disciplinary data centers Unmanaged & non-published Data
from individual scientists, labs, or smaller projects Somewhat
managed & open access data
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Fitness for use Total volume of scientific data Bridging
domains Publishing workflows Publishing Services Bibliometrics for
data Cost recovery models Trusted repositories & services
e-Infrastructures Scientific research projects
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Working and Interest Groups Publishing Data IG Workflows WG:
Provide generic workflow models for data publication Bibliometrics
WG: Approaches & solutions that allow analysis of content &
proper citations Cost recovery models WG/IG Services WG:
cross-referencing
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Linking data & journals Linking editorial workflows Linking
services
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Consortium Research facilities Data repositories Universities
Libraries Industry
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Data Publication Services Problem: no common framework for
cross-referencing datasets and articles. Solution: a
cross-referencing service that connects articles to relevant data.
Key benefits: Efficiency, scalability Better quality & accuracy
of links Powering new tools and functionalities to the benefit of
researchers
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How do data publication services fit into the globally evolving
data infrastructures? How will scholarly publishing evolve over the
next decade? Impact of data publications? Organizational and
technical requirements for the stakeholders? What are the costs?
Risks
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Knowledge Network Web-based, interlinked repository of
relationships between the actors and entities that make up our
research landscape: people, institutions, data services, projects,
research disciplines and topics, funding sources, and the
like.
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Knowledge Network Interlinked foundational Global Research
Infrastructure: Sustainable, Scalable, and Distributed (leading
organisations, data centres, and initiatives) Draw on the example
of Linked Open Data, and re-use as many services, components,
standards, and existing capacity as is possible.
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Knowledge Network
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Leverage existing Infrastructure
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Trusted Digital Repositories/Services WDS & DSA:
lightweight certification framework NESTOR seal DIN standard 31644,
TRAC criteria ISO standard 16363
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Global Registry of TDRs Re3data/DataBib DataCite Subset of the
registry or an independent extension of the registry that
aggregates quality and certification properties (WDS, Data Seal of
Approval, ISO 16363, etc.) managed by WDS.
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Benefits Researchers: confidence in integrity, authenticity,
accessibility, re-usable, meaningful and data services can be
safely used Science publishers: identify trustworthy data
repositories for article related data and services Data
repositories and services: promotion and benchmarking
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Thanks to Wim Hugo (SAEON/NRF) Michael Diepenbroek (PANGAEA)
All Co-chairs and contributors of the Working Groups: Eefke Smit,
Jonathan Tedds, Suenje Dallmeier-Tiessen, Elizabeth Newbold,
Theodora Bloom, Adrian Burton, Hylke Koers, Sarah Callaghan,
Kerstin Lehnert, Simon Hodson, Ingrid Dillo