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Processing by the numbers:
How metrics can help with
project planning




Adrienne Pruitt, MSLIS, MA, Boston College
October 27, 2012 Mid-Atlantic Regional Archives Conference
Session S18
Processing metrics
•   Why to keep metrics
•   How to keep metrics
•   Trends and pitfalls
•   Encouraging participation
“Statistical measures have a hardness about
them – they demand attention, they just won’t go
away, especially when they are published; and I
think they should shake us up and . . . make us
look more closely at what we are doing.”
– Tom Wilsted, “Scoring Archival Goals,” 1977


                       “Clearly, our incompetence in the
                       area of processing metrics greatly
                       harms both our capacity to plan
                       projects and granting agencies’
                       ability to fund them.”
                       – Mark A. Greene and Dennis Meissner, “More Product,
                       Less Process,” 2005
Reasons to keep processing metrics
          • More accurate – and likely to be
            funded – grant proposals
          • Better budget justifications
          • Cost/benefit analysis
          • Work priorities
          • Assessment of processing
            workflows
          • Donor relations
          • Benchmarking – in the archival
            profession as a whole
Participation in
the Processing
Metrics
Collaborative:
Tracking
Statistics in the
Metrics
Database




                    https://wiki.med.harvard.edu/Countway/ArchivalCollaboratives/
                    ProcessingMetricsDatabase
What we track:
• Daily activities, by
  employee, in 15 min.
  increments
• Time spent per series
• Format by series and box




                             Define:
                             • Complexity levels
                             • Processing levels
                             • Formats
                             • Collection types
                             • Tracking tasks
Tracking tasks: what and why
Charts by activity, by
collection, by month,
by processor, hours
by linear foot
Collection level reports

Summarizes:
• collection’s condition
• collection type
• format
• complexity
• processing level

- things most likely to
affect processing times
Things to watch out for

                               1. Start-up costs
                               2. Complexity and processing
                                  levels
“Do not put your faith in      3. Time spent NOT processing
what statistics say until      4. Standardization
you have carefully             5. Clear definitions
considered what they do        6. Cost vs. value
not say.”                      7. Staff implementation
-William W. Watt
Linear footage wiki page
Oversize items, linear footage,
    and hours/linear foot
Promoting the keeping of metrics
Sources consulted
•   Ericksen, Paul. “Beneficial Shocks: The Place of Processing-Cost Analysis in Archival
    Administration.” The American Archivist, 58, no. 1 (1995): 32-52.
•   Greene, Mark A. and Dennis Meissner. “More Product, Less Process: Revamping
    Traditional Archival Processing.” The American Archivist, 68, no. 2 (2005): 208-263.
•   Gustainis, Emily. “Processing Metrics Collaborative: Database Development Initiative.”
    Harvard Medical School Wiki. Accessed September 10, 2012.
    https://wiki.med.harvard.edu/Countway/ArchivalCollaboratives/ProcessingMetricsData
    base
•   Gustainis, Emily. “The Way We Work.” NEA Newsletter, 38, no. 3 (2011): 4-6.
•   Mengel, Holly. “The Decision to Minimally Process Should be a Collection-by-Collection
    Decision,” PACSCL Hidden Collections Processing Project (blog), January 27, 2012,
    http://clir.pacscl.org/2012/01/27/the-decision-to-minimally-process-should-be-a-
    collection-by-collection-decision/.
•   Mengel, Holly and Courtney Smerz. “PACSCL Debriefing.” Presentation at the University
    of Pennsylvania, April 22, 2012.
•   Turner, Adrian. “Project Tracking and Timeline.” Uncovering California’s Environmental
    Collections. February 23, 2012 (accessed September 10, 2012).
    https://wiki.ucop.edu/display/CLIR/Project+Tracking+and+Timeline
•   Walters, Emily. “Changing the Landscape.” Accessed September 10,
    2012. http://news.lib.ncsu.edu/changinglandscape/

                          Questions? adrienne.pruitt@bc.edu
                        www.slideshare.net/AdriennetheArchivist/

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Processing by the numbers

  • 1. Processing by the numbers: How metrics can help with project planning Adrienne Pruitt, MSLIS, MA, Boston College October 27, 2012 Mid-Atlantic Regional Archives Conference Session S18
  • 2. Processing metrics • Why to keep metrics • How to keep metrics • Trends and pitfalls • Encouraging participation
  • 3. “Statistical measures have a hardness about them – they demand attention, they just won’t go away, especially when they are published; and I think they should shake us up and . . . make us look more closely at what we are doing.” – Tom Wilsted, “Scoring Archival Goals,” 1977 “Clearly, our incompetence in the area of processing metrics greatly harms both our capacity to plan projects and granting agencies’ ability to fund them.” – Mark A. Greene and Dennis Meissner, “More Product, Less Process,” 2005
  • 4. Reasons to keep processing metrics • More accurate – and likely to be funded – grant proposals • Better budget justifications • Cost/benefit analysis • Work priorities • Assessment of processing workflows • Donor relations • Benchmarking – in the archival profession as a whole
  • 5. Participation in the Processing Metrics Collaborative: Tracking Statistics in the Metrics Database https://wiki.med.harvard.edu/Countway/ArchivalCollaboratives/ ProcessingMetricsDatabase
  • 6. What we track: • Daily activities, by employee, in 15 min. increments • Time spent per series • Format by series and box Define: • Complexity levels • Processing levels • Formats • Collection types • Tracking tasks
  • 8. Charts by activity, by collection, by month, by processor, hours by linear foot
  • 9. Collection level reports Summarizes: • collection’s condition • collection type • format • complexity • processing level - things most likely to affect processing times
  • 10. Things to watch out for 1. Start-up costs 2. Complexity and processing levels “Do not put your faith in 3. Time spent NOT processing what statistics say until 4. Standardization you have carefully 5. Clear definitions considered what they do 6. Cost vs. value not say.” 7. Staff implementation -William W. Watt
  • 12. Oversize items, linear footage, and hours/linear foot
  • 13. Promoting the keeping of metrics
  • 14. Sources consulted • Ericksen, Paul. “Beneficial Shocks: The Place of Processing-Cost Analysis in Archival Administration.” The American Archivist, 58, no. 1 (1995): 32-52. • Greene, Mark A. and Dennis Meissner. “More Product, Less Process: Revamping Traditional Archival Processing.” The American Archivist, 68, no. 2 (2005): 208-263. • Gustainis, Emily. “Processing Metrics Collaborative: Database Development Initiative.” Harvard Medical School Wiki. Accessed September 10, 2012. https://wiki.med.harvard.edu/Countway/ArchivalCollaboratives/ProcessingMetricsData base • Gustainis, Emily. “The Way We Work.” NEA Newsletter, 38, no. 3 (2011): 4-6. • Mengel, Holly. “The Decision to Minimally Process Should be a Collection-by-Collection Decision,” PACSCL Hidden Collections Processing Project (blog), January 27, 2012, http://clir.pacscl.org/2012/01/27/the-decision-to-minimally-process-should-be-a- collection-by-collection-decision/. • Mengel, Holly and Courtney Smerz. “PACSCL Debriefing.” Presentation at the University of Pennsylvania, April 22, 2012. • Turner, Adrian. “Project Tracking and Timeline.” Uncovering California’s Environmental Collections. February 23, 2012 (accessed September 10, 2012). https://wiki.ucop.edu/display/CLIR/Project+Tracking+and+Timeline • Walters, Emily. “Changing the Landscape.” Accessed September 10, 2012. http://news.lib.ncsu.edu/changinglandscape/ Questions? adrienne.pruitt@bc.edu www.slideshare.net/AdriennetheArchivist/