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Introduction to ADA

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Presentation by Dr Steve McEachern, ADA, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.

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Introduction to ADA

  1. 1. Introduction to ADA: The Australian Data Archive as a Trusted Repository for Research Data Dr. Steve McEachern, Director, Australian Data Archive
  2. 2. Infrastructure considerations • Data • Metadata • Access – Access control – Embargoes and restrictions • Governance – Licensing – Ownership – Roles and responsibilities
  3. 3. Useful frameworks • FAIR data – Findable – Accessible – Interoperable – Reusable • 5 Safes: – Safe people – Safe projects – Safe settings – Safe data – Safe outputs
  4. 4. ADA in Brief • The ADA was set up in 1981, with a mission to collect and preserve Australian research data on behalf of the social science research community • The Archive holds over data from over 1500 datasets, including national election studies; public opinion polls; social attitudes surveys, major longitudinal studies, censuses, aggregate statistics, administrative data and selected international collections • Covers social sciences, population health, business and economics and humanities • Data holdings are sourced from academic, government and private sectors
  5. 5. ADA Dataverse http://dataverse.ada.edu.au • Redevelopment of our database and website infrastructure (completed late 2018) – New website – New data catalogue (including DOIs for datasets) – Open data access – API access (both for deposit and access, e.g. through R) • New functionality (in development): – Self-deposit of data – Behavioural trials registry – ORCID and Shibboleth authentication – Secure data facility – Qualitative data archive
  6. 6. ADA Dataverse
  7. 7. Metadata and catalogue pages Study information is based on the DDI-C (Data Documentation Initiative) standard, and includes: • Files – Data files – Related Materials: additional documentation (reports, questionnaires, technical information), links and other related studies (eg. others in the series) that may interest you – Request forms • Metadata – Study: information including the investigators, abstract, sample, data collection methods, and access requirements. – Variables: a list of variables available in a quantitative dataset • Terms – Terms and conditions of use – Restrictions – … • Versions – Version control
  8. 8. Dataset landing page 8 Dataset Dataset files Explore the dataset (tabs)
  9. 9. Accessing data
  10. 10. Request access to data (1) 10 Select one or more Controlled access Open access
  11. 11. Request access to data (2) 11 You must be registered and signed-in
  12. 12. Registration
  13. 13. Conditions of use (Reusability)
  14. 14. Request access to data (3) 14
  15. 15. Business rules • ADA approves “standard” requests, subject to business rules (based on the contents of the user request) • ADA refers “non-standard” requests (e.g. from commercial organisations) to owner for review • ADA or owner reviews and approves/rejects non- standard requests • Approvals are managed in Dataverse • Communications between users, ADA and owners regarding requests is managed via email, and logged in the ADA ticketing system 15
  16. 16. Email notification: confirmation of access request 16
  17. 17. Interoperability • A Demonstration in R • See R command file
  18. 18. Reusability • Licensing and Terms of use (Terms tab) • Provenance provided (Metadata tab) • Common standards
  19. 19. Questions? Steven McEachern steven.mceachern@anu.edu.au ada@anu.edu.au http://ada.edu.au