MIT Libraries homeMIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Libraries Research Collection
  • View Item
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Libraries Research Collection
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Automated Validation of Trusted Digital Repository Assessment Criteria

Author(s)
Smith, MacKenzie
Thumbnail
DownloadMain article (58.91Kb)
Metadata
Show full item record
Abstract
The RLG/NARA trusted digital repository (TDR) certification checklist defines a set of assessment criteria for preservation environments. The criteria can be mapped into data management policies that define how a digital preservation environment is operated. We explore how the enforcement of these management policies can be automated through their characterization as rules that control preservation services. By integrating a rule-based data management system with the DSpace digital archive system, we expect to demonstrate automated audits of the TDR checklist for a defined set of local policies. The system is sufficiently general that one can also demonstrate the completeness and self-consistency of preservation environments. This is the concept that all required preservation metadata are controlled by management policies, and that for each management policy the required preservation metadata are preserved.
Date issued
2007-09
URI
http://hdl.handle.net/1721.1/39091
Publisher
Texas Digital Library
Citation
Moore, R., Smith, M., "Automated Validation of Trusted Digital Repository Assessment Criteria". Journal of Digital Information 8(2), 2007.
ISSN
1368-7506
Keywords
digital preservation, digital curation, digital archives, trusted digital repositories, data lifecycle management, rule-based data managment, policy expression

Collections
  • MIT Libraries Research Collection

Related items

Showing items related by title, author, creator and subject.

  • Thumbnail

    Multi-digit processing and contextualized analysis on the digital symbol digit test 

    DeTienne, Elizabeth A. (Massachusetts Institute of Technology, 2020)
    Neurocognitive decline has been shown to occur as early as 15-20 years before obvious symptoms develop for patients with Alzheimer's. Current therapies work best when begun early, but it is very difficult to detect subtle ...

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries homeMIT Libraries logo

Find us on

Twitter Facebook Instagram YouTube RSS

MIT Libraries navigation

SearchHours & locationsBorrow & requestResearch supportAbout us
PrivacyPermissionsAccessibility
MIT
Massachusetts Institute of Technology
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.