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Minute Madness

Explore advanced tools, methods, and case studies in digital curation for long-term data preservation. Learn about data object virtualization, curator variation, conducting data interviews, and more to enhance digital stewardship practices.

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Minute Madness

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  1. Minute Madness

  2. EU FP6 Integrated Project Total spend approx. 16MEuro (8.8 MEuro from EU) Started April 2006, for 42 months David Giaretta is Co-ordinator CASPAR Project http://www.casparpreserves.eu

  3. DCC/CASPAR Registry/Repository Brian McIlwrath DCC/CASPAR/STFC b.k.mcilwrath@rl.ac.uk DCC/CASPAR are both using OAIS Representation Information (“RepInfo”) Registry/Repository based on freeBXML. Poster plus demonstrations – Current RepInfo tool + used for visualisation (S. Rankin)

  4. Data Object VirtualisationStephen Rankin - s.e.rankin@rl.ac.uk • Capture all the information needed to go from the bits to a data object in software. • Need a bit level description of data values. • Need a logical description of how data values are organised. • Need simple semantics about the data values. • Need to know how the data values are collected together to form the objects (semantic models of objects).

  5. Completing the Audit: A Case Study of the DRAMBORA Tool • Previous testing has involved deliberations as to whether or not the DRAMBORA exercise indicates real risk and has examined ways to mitigate that risk. • This study is examining how easy or hard it is for digital repository managers to complete the audit, as well as the perceived possible impact on the manager if the archive is at risk.

  6. Measuring Curator Variation • Research Need: standardized research methodologies for investigating variation in curator workflows and outcomes • Why? • To understand the nature and extent of variation • To measure internal consistency and develop related quality metrics • To learn from best practices to assist in the education and training of new curators • To create cross-resource benchmarking metrics

  7. “Conducting a Data Interview” Jake Carlson (jrcarlso@purdue.edu) Data Research Scientist Michael Witt (mwitt@purdue.edu) Assistant Professor

  8. The DPC – The Rough Guide Who - UK based, x sectoral organisation - 30 members Why - to secure the preservation of digital resources in the UK and to work with others to secure our global digital memory What - to develop a UK digital preservation agenda within an international context Produce stuff Tell people about stuff Provide training on stuff Raise awareness about stuff How - engaging the community & lobbying the ‘non community’ Technology Watch Reports e.g. JPEG2000 & PDF - 01/08 Events e.g. ‘What to Preserve’ - 04/08 Best practice guidelines for a range of sectors www.dpconline.org Frances Boyle – Executive Director DPC 13/12/07

  9. Scientific Data, Cyberinfrastructure, and the Working Scientist: Attitudes and Needs Assessment Megan Winget School of Information University of Texas at Austin

  10. TextGrid – www.TextGrid.de Modular platform for collaborative textual editing- a community grid for the humanities

  11. What Do Scientists Need To KnowAbout Digital Curation?Developing the Online Tutorial Curation 101 • Ross Harvey • DCC & HATII • Curation 101: a web-based tutorial • about digital curation for new grant • holders with Research Council or • other mandates to fulfil

  12. Telling the Whole Story: Selecting & Collecting Web-Based Videos for Archival Collections Gary Marchionini, Helen Tibbo, Chirag Shah, Christopher A. Lee School of Information & Library Science University of North Carolina, Chapel Hill

  13. D C C These people are dying in agony, the result of a horrible curse placed upon them by Hakkar the Soulflayer. Unfortunately, there’s also a downside. 3rd International Digital Curation Conference 11-13 December 2007 – Poster Session

  14. UK LOCKSS Pilot ProgrammeAdam Rusbridge, DCC, HATII, University of Glasgow • Raise awareness of the LOCKSS initiative • Provide practical help to run and maintain LOCKSS node • Seed a self-sustaining base of LOCKSS users in the UK, who will collectively preserve a major proportion of the e-journals in common use in the JISC community • Build experience in the community • Form a UK centre of expertise • To learn from our experiences

  15. Studies of Data Curation for the Long Tail of Science Carole L. Palmer, Melissa H. Cragin, P. Bryan Heidorn, Linda C. SmithGraduate School of Library and Information ScienceUniversity of Illinois at Urbana-Champaign

  16. Data Curation and the Long Tail What is the impact of accessibility to the long tail of data for the conduct of science?

  17. Archiving PRIMUS at NYU

  18. Two Aspects of Digital Curation Archiving and Annotation D C C protein gene sequence I78852 120231 P21359 A45770 120232 P35240 A01399 120233 P01138 A25218 120234 P08138 Archiving Annotation  Efficiently manage archives of database snapshots.  Support queries about … … how the data looked like, … the history of changes, and … when a fact was valid.  Support annotation of data in relational databases.  Colored blocks represent annotated sets of values.  Color query language. <Tt="2002-2007"> <FACTBOOK> <COUNTRY> <NAME>Afghanistan</NAME> <CATEGORY> <NAME>Communications</NAME> <PROPERTY> <NAME>Internet users</NAME> <TEXT> <Tt="2004-2005">1,000 (2002)</T> <Tt="2006-2007">30,000 (2005)</T> <Tt="2002-2003">NA</T> </TEXT> SWISS- PROT GDB PIR 3rd Int. Digital Curation Conference, Washington DC, 11-13 December 2007

  19. DAITSS PRESERVATION REPOSITORY Priscilla Caplan and Randy Fischer Florida Center for Library Automation

  20. SCARP Investigating our digital landscape

  21. We Preserve: A Collaborative Approach to Digital Curation and Preservation Training Provision • Joy Davidson and Seamus Ross (Digital Curation Centre; HATII, University of Glasgow)‏ • Why should we collaborate? • Most projects have a mandate to disseminate their findings and/or to provide dedicted training • Resources to disseminate findings and develop training programmes are limited and need to be used wisely • Increasing number of events being offered can cause confusion amongst participants (i.e., which events should they be attending?)‏ • Collaboration will help to raise awareness of aims and objectives between projects and to highlight areas where synergies are possible

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