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DC 2012 05.09.2012

Leveraging the DDI Model for Linked Statistical Data in the Social, Behavioural, and Economic Sciences. DC 2012 05.09.2012. Agenda. What is DDI?. DDI (Data Documentation Initiative)

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DC 2012 05.09.2012

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  1. Leveraging the DDI Model for Linked Statistical Data in the Social, Behavioural, and Economic Sciences DC 2012 05.09.2012

  2. Agenda

  3. What is DDI? • DDI (Data Documentation Initiative) • Established international standard for the documentation and management of data from the social, behavioral, and economic sciences • Data model for statistical data • Supports the entire research data lifecycle • Focus on microdata • Structured high quality metadata • enable secondary analysis without the need to contact the primary researcher • Enables the re-use of metadata of existing studies for designing new studies • Currently specified in XML Schema

  4. How was the DDI Ontology developed? • DDI subset • of the most important DDI elements • Use cases • Experts in the statistics domain formulated use cases which are seen as most significant to solve frequent problems • Most important use case: discover microdata connected with multiple studies • Leverage existing DDI-XML docs to DDI-RDF automatically • Direct mapping • Generic mapping (Boschand Mathiak, 2011)

  5. Why DDI as Linked Data? Currently no such ontology available To increase visibility of data holdings using mainstream Web technologies To open DDI to the Linked Data community To process DDI-RDF by RDF tools To link DDI-RDF to other RDF data To better identify opportunities for merging datasets To enable inferencing To research microdata within the LOD cloud

  6. What other metadata standards vocabularies are used? Dublin Core Metadata Element Set, Version 1.1 DCMI Metadata Terms SKOS SDMX  RDF Data Cube Vocabulary ISO/IEC 11179 ISO 19115

  7. Discovery Use Case Which studies are connected with a specific coverage consisting of the 3 dimensions: time, country, and subject? What questions with a specific question text are contained in the study questionnaire? What questions are connected with a concept with a specific label? What questions are combined with a variable with an associated coverage consisting of the 3 dimensionstime, country, and subject? What concepts are linked to particular variables or questions? What representation does a specific variable have? What codes and what categories are part of this representation? What variable label does a variable with a particular variable name have? What‘s the maximum value of a certain variable? What are the absolute and relative frequencies of a specific code? What data files contain the entire dataset?

  8. study | coverage

  9. instrument | question | concept

  10. values | value labels

  11. variable | descriptive statistics

  12. logical dataset | dataset | data file

  13. conceptual model

  14. Acknowledgements • Archana Bidargaddi (NSD - Norwegian Social Science Data Services, Norway) • Franck Cotton (INSEE - Institut National de la Statistique et des ÉtudesÉconomiques, France) • Richard Cyganiak (DERI - Digital Enterprise Research Institute, Ireland) • Daniel Gilman (BLS - Bureau of Labor Statistics, USA) • Marcel Hebing (SOEP - German Socio-Economic Panel Study, Germany) • Larry Hoyle (University of Kansas, USA) • Jannik Jensen (DDA - Danish Data Archive, Denmark) • Stefan Kramer (CISER - Cornell Institute for Social and Economic Research, USA) • Amber Leahey (Scholars Portal Project - University of Toronto, Canada) • Abdul Rahim (Metadata Technologies Inc., USA) • John Shepherdson (UK Data Archive, UK) • Dan Smith (Algenta Technologies Inc., USA) • Humphrey Southall (Department of Geography, UK Portsmouth University, UK) • Wendy Thomas (MPC - Minnesota Population Center, USA) • Johanna Vompras (University Bielefeld Library, Germany)

  15. Thank you for you attention!

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