Evidence Summary
Analysis From Seven Years of DDA-Centered Collections
Strategy Indicates Long-Term Effectiveness for Acquiring Electronic Monographs
A Review of:
Lowry,
L., Arthur, M. A., & Gilstrap, D. L. (2024). A retrospective look at a
DDA-centered collection strategy: Planning for the future of monograph
acquisitions. The Journal of Academic
Librarianship, 50(1), 102831. https://doi.org/10.1016/j.acalib.2023.102831
Reviewed by:
Abbey Lewis
STEM Engagement Librarian
University
of Colorado Boulder
Boulder,
Colorado, United States of America
Email:
Abbey.B.Lewis@Colorado.edu
Received: 21 Jan. 2025 Accepted:
24 Mar. 2025
2025 Lewis.
This is an Open Access article distributed under the terms of the Creative Commons‐Attribution‐Noncommercial‐Share Alike License 4.0
International (http://creativecommons.org/licenses/by-nc-sa/4.0/),
which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work is properly attributed, not used for commercial
purposes, and, if transformed, the resulting work is redistributed under the
same or similar license to this one.
DOI: 10.18438/eblip30712
Objective – To examine
long-term data for confirmation that the Demand-Driven Acquisition (DDA)
strategy is a viable method for supporting ebook monograph collections.
Design – Analysis of
cost, usage data, and Library of Congress Classification (LCC) for DDA monographs.
Setting – University of
Alabama, a public R1 university.
Subjects – Seven years
of usage, cost, and classification data for ebook monographs in the DDA pool.
Methods – Authors
requested data on ebook monographs from EBSCO dating back to the beginning of
the DDA plan. After data cleaning, they used Excel PivotTables and PivotCharts
for analysis, as well as SPSS linear regression for determining the strength of
relationships between key data variables.
Main Results – Cost per use
of ebooks purchased or loaned through the DDA pool showed a high return on
investment. Breaking data down by LCC for regression analysis showed links
between the percentage of the DDA pool size and the percentage of “triggered”
purchases or loans, as well as between the percentage of full-text requests and
the percentage of triggers. The percentage of triggers for a given LCC can be
predicted by percentage of the DDA pool and percentage of full-text requests.
However, primary LCC was not itself a significant predictor.
Conclusion – The authors
concluded that DDA plans can act as effective long-term collections strategies
but also noted that basing a plan on an existing approval profile and
continuous assessment of the plan are useful approaches for ensuring a DDA
plan’s success. Supplementary strategies may be necessary for developing areas
of the collection where needs are not met by the DDA plan, such as purchasing
ebook packages and utilizing approval plans. In addition to overall
cost-effectiveness, they further recommended DDA plans because these strategies
offer an approach to collection building that frees staff to focus substantial
time on other initiatives.
Demand-Driven Acquisitions (DDA) or Patron-Driven
Acquisitions (PDA) is a popular strategy for collection development in academic
libraries because it allows for patron input, often fulfilling immediate needs,
and reduces librarian time spent building collections. In spite of concerns
over the appropriateness and usefulness of DDA materials, this manner of
selection can be an effective means for procuring highly circulating materials
(Tyler & Boudreau, 2024). Assessments of DDA plans have largely focused on
returns on investment (Monroe-Gulick et al., 2024) and the current study adds
to that literature with seven years of data from a DDA plan (Lowry et al.,
2024).
Glynn’s (2006) critical appraisal tool for library
research was used for this evidence summary, showing validity in the study’s
data collection, design, and results. Data collection for this study is of
particular note, as the authors were able to obtain more than 35 data points
for each title in the DDA pool, dating back to the beginning of the DDA plan in
2016. The comprehensiveness of these data appear to
have allowed the study design to determine factors that speak to the long-term
effectiveness of the DDA plan. However, the full list of data points is not
provided. The researchers’ conclusions, which can be summarized to say that the
DDA plan has strategically built a monograph collection that supports campus
needs, are firmly grounded in the results.
Although the critical appraisal tool asks if subset
analysis is kept to a minimum, a detailed examination of results by LCC class
here is especially illuminating and likely to be relevant to other libraries.
The researchers employed a “percent of expected use” (PEU) calculation to
determine differences in a given LCC class's percentage of titles in the DDA
pool and the percentage of total accesses for that LCC class. The PEU
calculation was useful for showing areas where the DDA pool for a given LCC
class could be expanded. However, the authors correctly reasoned against using
this same calculation to reduce areas of the DDA pool, as there was no cost for
unaccessed titles.
The researchers also examined results in the context
of the University of Alabama’s idiosyncratic needs. While this has more limited
applicability for other institutions, an understanding of how the authors
considered these results could be useful. LCC classes that took up larger
percentages of the LCC pool and saw greater access numbers corresponded with
campus majors with sizeable enrollments, demonstrating that the DDA pool was
well-suited to the University of Alabama’s unique collection development needs.
As other academic institutions see their DDA plans
age, they will likely face similar challenges with how to assess their
long-term effectiveness and overall return on investment. The summarized study
offers a pathway to address these questions while making excellent use of the
abundance of data available through these plans. Furthermore, the assessment
strategy used here showed that a DDA plan addresses a direct need for materials
acquired in this manner and can help institutions identify areas of the
collection where the DDA plan could be adjusted to serve unmet needs. This
potential for evidence based DDA plan modification should further alleviate
common institutional concerns about overspending and usefulness of materials
acquired through DDA plans. Although not mentioned in the summarized study,
further research on revising DDA plans based on assessment findings would
enhance libraries’ ability to use these plans to their full potential.
Glynn,
L. (2006). A critical appraisal tool for library and information research. Library Hi Tech, 24(3), 387–399. https://doi.org/10.1108/07378830610692154
Lowry,
L., Arthur, M. A., & Gilstrap, D. L. (2024). A retrospective look at a
DDA-centered collection strategy: Planning for the future of monograph acquisitions.
The Journal of Academic Librarianship,
50(1), 102831. https://doi.org/10.1016/j.acalib.2023.102831
Monroe-Gulick,
A., Back, A., Wolfe, G. G., Outhier, S., & Morris, S. E. (2024). Demand driven
acquisitions in academic libraries: A scoping review. The Journal of Academic Librarianship, 50(3), 102862. https://doi.org/10.1016/j.acalib.2024.102862
Tyler,
D. C., & Boudreau, S. O. (2024). Will you still need me, will you still
read me…? Patron-driven acquisition books’ circulation advantage long-term and
post-pilot. The Journal of Academic
Librarianship, 50(5), 102919. https://doi.org/10.1016/j.acalib.2024.102919