Establishing Trust in Data Curation: OAIS and TRAC applied to a Data Staging Repository (DataStaR)
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1 Establishing Trust in 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
2 What exactly is a data staging repository? DataStaR create upload metadata data set publish publish Permanent Repository (domain, institutional) colleague share disseminate user
3 Where does it fit in the life cycle?
4 Where does it fit in the life cycle?
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
6 An OAIS view of DataStaR DataStaR create upload metadata data set publish publish Permanent Repository (domain, institutional) colleague share disseminate user
7 An OAIS view of DataStaR pre -SIP DataStaR create upload metadata data set publish publish Permanent Repository (domain, institutional) colleague share disseminate user
8 An OAIS view of DataStaR AIP pre -SIP DataStaR create upload metadata data set publish publish Permanent Repository (domain, institutional) colleague share DIP disseminate user
9 An OAIS view of DataStaR AIP SIP pre -SIP DataStaR create upload metadata data set publish publish Permanent Repository (domain, institutional) colleague share DIP disseminate user
10 An OAIS view of DataStaR OAIS pre -SIP AIP DataStaR SIP AIP create upload metadata data set publish publish Permanent Repository (domain, institutional) colleague share DIP disseminate user DIP
11 Look at other approaches to implementation
12 Put TRAC into context
13 What did DataStaR need... Three things: Data depositor agreement Set of repository o policies System documentation
14 Data deposit agreement
15 Repository policies
16 System documentation
17 System documentation
18 How did we do?
19 How did we do? Number and percentage of TRAC criteria addressed by (agreement, policies, system) TRAC Depositor Repository System doc/ SECTION agreement policies requirements A (24 criteria) 6 (25%) 9 (38%) 3 (13%) B (44 criteria) 4 (9%) 14 (32%) 30 (68%) C (16 criteria) (38%)
20 How did we do? Number and percentage of TRAC criteria addressed by (agreement, policies, system) TRAC Depositor Repository System doc/ SECTION agreement policies requirements A (24 criteria) 6 (25%) 9 (38%) 3 (13%) B (44 criteria) 4 (9%) 14 (32%) 30 (68%) C (16 criteria) (38%) Section A criteria i (organizational infrastructure) t addressed d mainly by policy
21 How did we do? Number and percentage of TRAC criteria addressed by (agreement, policies, system) TRAC Depositor Repository System doc/ SECTION agreement policies requirements A (24 criteria) 6 (25%) 9 (38%) 3 (13%) B (44 criteria) 4 (9%) 14 (32%) 30 (68%) C (16 criteria) (38%) Section A criteria i (organizational infrastructure) t addressed d 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? TRAC SECTION Address at transition to production system Not relevant to DataStaR A (24 criteria) 11 (46%) 1 (4%) B (44 criteria) 0 8 (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 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 datastar.mannlib.cornell.edu 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.
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