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Boutique to Production – Stanford’s Born-
Digital /Forensics Labs (BDFLs)
Michael Olson
IS&T, 2015
Topics
 History of our lab
 Boutique to Production created by incremental
improvements in:
 Service Model - Digitization as a Service
 Budget
 Standardization of Equipment
 Documentation / Statistics
History
 Our call to action – British Library Risk Assessment
 McLeod, Rory, “Risk Assessment; using a risk based approach to
prioritise hand held digital information”
 Losing 3 % of hand held media / year
 30,000 pieces of KNOWN at risk media in
Stanford’s collections
History
 Our call to action – British Library Risk Assessment
 30,000 pieces of KNOWN at risk media in
Stanford’s collections
 Began 2009 – six years old
 One-time funding to buy workstations, no staff, no
workflow,
Assorted data tapes from Stanford collections
Hard drive from Dennis Brain collection
5 ¼” floppy disk
CD-ROM from Robert Creeley collection
History
 One-time funding to buy two workstations, no staff,
no workflow
 Began 2008 – seven years old
 AIMS grant archivist hired in early 2010 to begin
determining workflows for born-digital materials
Out with the Old – in with the New
 2012 reimagining how we deliver digitization at
Stanford Libraries
 Includes all of our service arms:
 Digital Production Group
 Stanford Media Preservation Lab
 Born-Digital / Forensics Labs
Digitization Services
 Mission– why we digitize
 Services – what we do and how to access these
services
Digitization Services
Digitization Services
 Internal wiki that describes in how to request
digitization services in detail
 Prioritization and tracking of requests using JIRA
 Created custom templates in JIRA to:
 Request lab services
 Assign and track the work
 Create transparency on our work and its value
Budget
 2014 – improve budget process
 Track anticipated and actual expenditures
 Forecast expenditures:
 Workstations (new and replacement cycle)
 Other hardware components
 Consumables
 Contracts / Maintenance agreements
 Hourly staffing
 Travel
Standardization of Equipment / Configurations
 Currently have 2 Forensic Recovery of Evidence
Devices (F.R.E.D.s) and 7 workstations
 Goal to reduce lab maintenance respoinsibiliities
of our digital archivist
 Replace custom built workstations with commodity
workstations
 Create disk images of workstations
Documentation
 Production requires functional documentation:
 Lab mission and charter
 Meeting agendas and notes
 Goals
 Equipment inventories
 Budget
 Procedural documentation or how to do certain tasks
Documentation
Statistics
 Estimate the cost of the preserving data from
legacy media formats
 Identification of potential process improvements /
efficiencies
 Statistics provide the data points to enable
demonstration of program value
Statistics
 What we’re tracking:
 Collection call number
 Media type
 Quantity of media
 Failure rate by media type
 Total number of files
 Size (GB) of preserved content
 Operator responsible for capture
 Quality control
 Time to do the work
Conclusion
Transition to Production required:
 Clearly defined and documented service model
 Budget
 Functional Documentation
 Statistics to document program value
Questions?
Michael Olson
mgolson@stanford.edu
(650) 308 6538

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Boutique to Production - Stanford's Born-Digital /Forensics Labs

  • 1. Boutique to Production – Stanford’s Born- Digital /Forensics Labs (BDFLs) Michael Olson IS&T, 2015
  • 2. Topics  History of our lab  Boutique to Production created by incremental improvements in:  Service Model - Digitization as a Service  Budget  Standardization of Equipment  Documentation / Statistics
  • 3. History  Our call to action – British Library Risk Assessment  McLeod, Rory, “Risk Assessment; using a risk based approach to prioritise hand held digital information”  Losing 3 % of hand held media / year  30,000 pieces of KNOWN at risk media in Stanford’s collections
  • 4. History  Our call to action – British Library Risk Assessment  30,000 pieces of KNOWN at risk media in Stanford’s collections  Began 2009 – six years old  One-time funding to buy workstations, no staff, no workflow, Assorted data tapes from Stanford collections
  • 5. Hard drive from Dennis Brain collection 5 ¼” floppy disk CD-ROM from Robert Creeley collection
  • 6. History  One-time funding to buy two workstations, no staff, no workflow  Began 2008 – seven years old  AIMS grant archivist hired in early 2010 to begin determining workflows for born-digital materials
  • 7. Out with the Old – in with the New  2012 reimagining how we deliver digitization at Stanford Libraries  Includes all of our service arms:  Digital Production Group  Stanford Media Preservation Lab  Born-Digital / Forensics Labs
  • 8. Digitization Services  Mission– why we digitize  Services – what we do and how to access these services
  • 10. Digitization Services  Internal wiki that describes in how to request digitization services in detail  Prioritization and tracking of requests using JIRA  Created custom templates in JIRA to:  Request lab services  Assign and track the work  Create transparency on our work and its value
  • 11.
  • 12. Budget  2014 – improve budget process  Track anticipated and actual expenditures  Forecast expenditures:  Workstations (new and replacement cycle)  Other hardware components  Consumables  Contracts / Maintenance agreements  Hourly staffing  Travel
  • 13. Standardization of Equipment / Configurations  Currently have 2 Forensic Recovery of Evidence Devices (F.R.E.D.s) and 7 workstations  Goal to reduce lab maintenance respoinsibiliities of our digital archivist  Replace custom built workstations with commodity workstations  Create disk images of workstations
  • 14. Documentation  Production requires functional documentation:  Lab mission and charter  Meeting agendas and notes  Goals  Equipment inventories  Budget  Procedural documentation or how to do certain tasks
  • 16. Statistics  Estimate the cost of the preserving data from legacy media formats  Identification of potential process improvements / efficiencies  Statistics provide the data points to enable demonstration of program value
  • 17.
  • 18. Statistics  What we’re tracking:  Collection call number  Media type  Quantity of media  Failure rate by media type  Total number of files  Size (GB) of preserved content  Operator responsible for capture  Quality control  Time to do the work
  • 19. Conclusion Transition to Production required:  Clearly defined and documented service model  Budget  Functional Documentation  Statistics to document program value