1 / 25

Publishing Data in the context of ICSU World Data System

Publishing Data in the context of ICSU World Data System. Mustapha Mokrane Executive Director International Programme Office. ICSU World Data System.

gefjun
Download Presentation

Publishing Data in the context of ICSU World Data System

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Publishing Data in the context of ICSU World Data System Mustapha MokraneExecutive Director International Programme Office

  2. ICSU World Data System ‘ICSU’s 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 …’

  3. WDS-SC Members and WDS-IPO Staff • Bernard Minster (Chair, USA) • Michael Diepenbroek (Germany) • Françoise 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) Scientific Committee2012–2015

  4. 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.

  5. WDS Membership

  6. WDS Membership • Regular Members • Network Members

  7. Strategic Plan 2014–2018 https://www.icsu-wds.org/organization/strategic-plan

  8. Strategic Targets • Make trusted data services an integral part of international collaborative scientific research • Nurture active disciplinary and multidisciplinary scientific data services communities • Improve the funding environment for Scientific Data Services • Improve trust in and quality of open Scientific Data Services • Position WDS as the premium global multidisciplinary network for quality-assessed scientific research data

  9. 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 RDA–WDS Publishing Data Interest Group breakout session: Dublin, March 2014

  10. The Long Tail Managed & published data Large scale monitoring, computed data, and disciplinary data centers Somewhat managed &open access data Fitness for use Unmanaged & non-publishedData from individual scientists, labs, or smaller projects Total volumeofscientificdata

  11. Bridging domains • Publishing workflows • Publishing Services • Bibliometrics for data • Cost recovery models • Trusted repositories & services e-Infrastructures Fitness for use Scientific research projects Total volumeofscientificdata

  12. 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

  13. Linking data & journals • Linking editorial workflows • Linking services

  14. Consortium • Research facilities • Data repositories • Universities • Libraries • Industry

  15. 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

  16. Risks • 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?

  17. 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.

  18. 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.

  19. Knowledge Network

  20. Leverage existing Infrastructure

  21. Trusted Digital Repositories/Services • WDS & DSA: lightweight certification framework • NESTOR seal • DIN standard 31644, TRAC criteria • ISO standard 16363

  22. Global Registry of TDRs • Re3data/DataBibDataCite • 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.

  23. 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

  24. Thanks to Wim Hugo (SAEON/NRF) Michael Diepenbroek (PANGAEA) All Co-chairs and contributors of the Working Groups: EefkeSmit, Jonathan Tedds, SuenjeDallmeier-Tiessen, Elizabeth Newbold, Theodora Bloom, Adrian Burton, HylkeKoers, Sarah Callaghan, Kerstin Lehnert, Simon Hodson, Ingrid Dillo…

  25. Join us at SciDataCon 2014 Date: 2–5 November 2014 Venue: Jawaharlal Nehru University Convention Centre, New Delhi, India SciDataCon will bring together international experts and practitioners in data sciences, technologies and management; researchers from the natural, social, health, and computer sciences; research funders and sponsors; and policy makers and advisorsto discuss practical challenges of data sharing and integration in the context of global sustainability research. www.SciDataCon2014.org

More Related