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Advancing Climate Research Infrastructure for Enhanced Data Integration and Citation

The Advanced Climate Research Infrastructure for Data (ACRID) project, led by a collaboration between the Climatic Research Unit at the University of East Anglia and the STFC e-Science Centre at RAL, seeks to improve climate data management by integrating heterogeneous datasets through a 'linked-data' approach. This initiative emphasizes the importance of persistent identification and citation conventions to enhance research data discovery and promote innovative reuse of climate information. The project aims to develop the necessary tools and infrastructure to facilitate effective climate data processing and sharing.

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Advancing Climate Research Infrastructure for Enhanced Data Integration and Citation

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  1. Advanced Climate Research Infrastructure for Data (ACRID) Dr. Andrew Woolf1, Dr. Tim Osborn2, Dr. Arif Shaon1, Dr. Colin Harpham2 (1) STFC e-Science Centre, RAL (2) Climatic Research Unit, UEA

  2. JISC 14/09 • Citing: “Agreed conventions for data citation and for data description are important for research data discovery. Persistent identification is required...” • Linking: “A recent position paper written for JISC ... makes a case for the benefits of linking research data using semantic or linked data technology ... data on which a journal article is based are bi-directionally linked to other data, resources, articles and people.” • Integrating: “Integrating heterogeneous data across distributed sources can enable effective and innovative reuse”

  3. ACRID • Advanced Climate Research Infrastructure for Data • Collaboration between: • Climatic Research Unit, University of East Anglia • STFC e-Science Centre, Rutherford Appleton Laboratory • Met Office (unfunded partner) • Various inquiries following 2009 email hacking recommended greater access to data and workings • Project aims: • Information architecture, tools, infrastructure for managing climate data and processing workflows • ‘linked-data’ approach for climate data publishing and citation • Prototype using four high-profile climate datasets

  4. Citing • Convergence around DOI for linking publication to data in Earth science • DataCite, Parsons and Duerr (2010), Wilson et. al. (2010), UNESCO (2010), ESSD, etc. • But “(w)hat is the citeable unit within a DOI?” • file? set of files? OAIS AIP? • Answer: linked-data graph

  5. Linking

  6. Integrating • An example information model for Observations and Measurements (ISO/DIS 19156) • An observationis an event that estimates an observed property of a feature of interest, using a procedure, and generating a result

  7. Climate Science Modelling Language (CSML)

  8. References ACRID • http://www.cru.uea.ac.uk/cru/projects/acrid • http://www.jisc.ac.uk/whatwedo/programmes/mrd.aspx Linked data • http://linkeddata.org • Tim Berners-Lee: Linked Data – Design Issues http://www.w3.org/DesignIssues/LinkedData.html • Bizer, C., T. Heath and T. Berners-Lee (2009): Linked Data – The Story So Far http://tomheath.com/papers/bizer-heath-berners-lee-ijswis-linked-data.pdf URI structure • W3C: Cool URIs don’t change http://www.w3.org/Provider/Style/URI • Cabinet Office (2009): Designing URI Sets for the Public Sector http://www.cabinetoffice.gov.uk/media/308995/public_sector_uri.pdf • Cabinet Office (2010): Designing URI Sets for Location CSML • http://ndg.nerc.ac.uk/csml OAI-ORE • http://www.openarchives.org/ore

  9. Questions?andrew.woolf@stfc.ac.uk

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