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Establishing Trust in a Data Curation: OAIS and TRAC

Establishing Trust in a Data Curation: OAIS and TRAC applied to a Data Staging Repository (DataStaR). Gail Steinhart Cornell University Library Ann Green Digital Life Cycle Research & Consulting Dianne Dietrich Cornell University Library.

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Establishing Trust in a Data Curation: OAIS and TRAC

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  1. Establishing Trust in a Data Curation: OAIS and TRAC applied to a Data Staging Repository (DataStaR) Gail Steinhart Cornell University Library Ann Green Digital Life Cycle Research & Consulting Dianne Dietrich Cornell University Library Image courtesy of the Cornell Biological Field Station IASSIST 2009

  2. DataStaR What exactly is a data staging repository? create metadata publish Permanent Repository (domain, institutional) upload data set publish disseminate colleague share user IASSIST 2009

  3. Where does it fit in the life cycle? http://www.dcc.ac.uk/docs/publications/DCCLifecycle.pdf IASSIST 2009

  4. Where does it fit in the life cycle? http://www.dcc.ac.uk/docs/publications/DCCLifecycle.pdf IASSIST 2009

  5. But DataStaR isn’t a preservation repository... “...if repository developers and administrators are guided by a reference model, they are more likely to consider the right issues.” Allinson 2006: OAIS as a Reference Model for Repositories: An Evaluation “A repository is Trusted if it can demonstrate its capacity to fulfill its specified functions, and if and if those (...) functions satisfy (...) minimal criteria which all trusted repositories are assumed to require.” DigitalPreservationEurope 2008: Repository Planning Checklist and Guidance IASSIST 2009

  6. DataStaR An OAIS view of DataStaR create metadata publish Permanent Repository (domain, institutional) upload data set publish disseminate colleague share user IASSIST 2009

  7. DataStaR An OAIS view of DataStaR create metadata publish Permanent Repository (domain, institutional) upload data set publish “pre”-SIP disseminate colleague share user IASSIST 2009

  8. DataStaR An OAIS view of DataStaR create metadata publish Permanent Repository (domain, institutional) AIP upload data set publish “pre”-SIP disseminate colleague share user DIP IASSIST 2009

  9. DataStaR An OAIS view of DataStaR create metadata publish Permanent Repository (domain, institutional) AIP SIP upload data set publish “pre”-SIP disseminate colleague share user DIP IASSIST 2009

  10. DataStaR An OAIS view of DataStaR OAIS create metadata publish Permanent Repository (domain, institutional) AIP SIP upload data set publish AIP “pre”-SIP disseminate colleague share user DIP DIP IASSIST 2009

  11. Look at other approaches to implementation IASSIST 2009

  12. Put TRAC into context IASSIST 2009

  13. What did DataStaR need... • Three things: • Data depositor agreement • Set of repository policies • System documentation IASSIST 2009

  14. Data deposit agreement IASSIST 2009

  15. Repository policies IASSIST 2009

  16. System documentation IASSIST 2009

  17. System documentation IASSIST 2009

  18. How did we do? IASSIST 2009

  19. How did we do? Number and percentage of TRAC criteria addressed by (agreement, policies, system) IASSIST 2009

  20. How did we do? Number and percentage of TRAC criteria addressed by (agreement, policies, system) • Section A criteria (organizational infrastructure) addressed mainly by policy IASSIST 2009

  21. How did we do? Number and percentage of TRAC criteria addressed by (agreement, policies, system) • Section A criteria (organizational infrastructure) addressed mainly by policy • Section B and C criteria (digital object management and technologies, technical infrastructure and security addressed mainly (but not exclusively) by system IASSIST 2009

  22. What didn’t we do? We are making an effort to address 64% of the TRAC criteria, in the pilot phase. IASSIST 2009

  23. Some observations • Understanding/interpreting the criteria is a lot of work. • The right tools might simplify policy development. • The right software might simplify system specification. • Compiling /presenting evidence: for auditors, or for users? • Picking your partners... TRAC has a lot to offer, even if long-term preservation isn’t your focus. IASSIST 2009

  24. datastar.mannlib.cornell.edu Thank you. Gail Steinhart GSS1@cornell.edu Ann Green green.ann@gmail.com Dianne Dietrich dd388@cornell.edu This material is based upon work supported by the National Science Foundation under Grant No. III-0712989. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Image courtesy of the Cornell Biological Field Station IASSIST 2009

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