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Establishing Trust in a Data Curation: OAIS and TRAC applied to a Data Staging Repository (DataStaR) Gail Steinhart Cornell University Library Ann Green.

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Presentation on theme: "Establishing Trust in a Data Curation: OAIS and TRAC applied to a Data Staging Repository (DataStaR) Gail Steinhart Cornell University Library Ann Green."— Presentation transcript:

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 IASSIST 2009 Image courtesy of the Cornell Biological Field Station

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

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

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

5 But DataStaR isn’t a preservation repository... IASSIST 2009 “...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

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

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

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

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

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

11 Look at other approaches to implementation IASSIST 2009

12 Put TRAC into context

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

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? IASSIST 2009 Number and percentage of TRAC criteria addressed by (agreement, policies, system) TRAC SECTION Depositor agreement Repository policies System doc/ requirements A (24 criteria)6 (25%)9 (38%)3 (13%) B (44 criteria)4 (9%)14 (32%)30 (68%) C (16 criteria)006 (38%)

20 TRAC SECTION Depositor agreement Repository policies System doc/ requirements A (24 criteria)6 (25%)9 (38%)3 (13%) B (44 criteria)4 (9%)14 (32%)30 (68%) C (16 criteria)006 (38%) How did we do? IASSIST 2009 Number and percentage of TRAC criteria addressed by (agreement, policies, system) Section A criteria (organizational infrastructure) addressed mainly by policy

21 TRAC SECTION Depositor agreement Repository policies System doc/ requirements A (24 criteria)6 (25%)9 (38%)3 (13%) B (44 criteria)4 (9%)14 (32%)30 (68%) C (16 criteria)006 (38%) How did we do? IASSIST 2009 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

22 What didn’t we do? IASSIST 2009 TRAC SECTIONAddress at transition to production system Not relevant to DataStaR A (24 criteria)11 (46%)1 (4%) B (44 criteria)08 (18%) C (16 criteria)10 (63%)0 TOTAL (84 criteria)21 (25%)9 (11%) We are making an effort to address 64% of the TRAC criteria, in the pilot phase.

23 Some observations IASSIST 2009 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.

24 IASSIST 2009 Thank you. Gail Steinhart Ann Green Dianne Dietrich Image courtesy of the Cornell Biological Field Station This material is based upon work supported by the National Science Foundation under Grant No. III 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. datastar.mannlib.cornell.edu


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