Commentary
Collaborating to Increase the Evidence Base in Library
and Information Practice
Margaret Henderson
Associate Professor
Director, Research Data
Management
VCU Libraries
Virginia Commonwealth
University
Richmond, Virginia, United
States of America
email: mehlibrarian@gmail.com
Received: 15 Jan. 2017 Accepted:
26 Mar. 2017
2017 Henderson. 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.
As I was thinking about EBL while preparing to come and
give this talk, I started thinking about evidence based practice in general. I
know you didn’t come here for a history lesson, but I think we can learn
something from a quick look at how EBP has evolved.
The most common early examples used when discussing
EBM are from the nineteenth century: John Snow and Florence Nightingale. John
Snow (Wikipedia, n.d.) is famous for figuring out that cholera was spread
through water, eventually resulting in the famous pump map of the London
cholera outbreak in 1854. In 1856, Florence Nightingale started pushing for
changes in medical care, notably sanitation, to save the lives of soldiers and
patients in hospitals, based on data collected during her work as a nurse
during the Crimean War (McDonald, 2001). I have also seen references to earlier
medical research, especially epidemiology research.
When reviewing these early examples, I noticed that
they really just applied the scientific method, which can be used by anyone
(Nerdy Baby, 2017):
1.
Make an observation
2.
Form a hypothesis
3.
Perform the experiment
4.
Analyze the data
5.
Report your findings
6.
Invite others to reproduce the results
What we now recognize as evidence based medicine,
including the familiar evidence pyramid (Wikimedia Commons, 2016), 5 A’s (Ask,
Acquire, Appraise, Apply, Assess, e.g. University of North Carolina Health
Sciences Library, 2016 ) and Venn diagrams showing EBM as the intersection of
evidence, patient, and doctor expertise (Weill Cornell Medical College Medical
Library, n.d.), involves more than just the scientific method. EBM involves
systematically collecting all the research and literature on a particular
clinical query together, and analyzing it to provide a complete picture and
make a better decision on the care to provide a patient. Claridge and Fabian
(2005) provide a good history of evidence based medicine and the term itself
doesn’t show use in Medline until 1993, then shows a linear increase in Medline
citations starting in 1995.
Despite the fairly recent origin of EBM – or at least
to me it seems recent since I remember learning about EBM in 1998 at a meeting
of MEDLI, the Medical & Scientific Libraries of Long Island (n.d.) during
my time as director at the Cold Spring Harbor Laboratory Library and Archives –
the idea of systematically analyzing multiple research papers on a topic to
decide on the best action for a problem has been adopted by many disciplines.
The Urban Institute (Turner, 2014) is using evidence based policy making,
specifically for government spending and tax policies. The Laura and John
Arnold Foundation (n.d.) is looking at policies for social problems such as
unemployment or homelessness. Evidence is being used for management styles and
decision making (Barends, Rousseau, & Briner, 2014). It is being used to
design better schools and hospitals (Whitemyer, 2010). Evidence is being
considered in education as well; in some cases to decide on the best methods
for teaching, but also, using student data to design specific strategies for
success, although there is some concern about privacy issues in these areas
(Killian, 2013).
And of course, evidence is used in librarianship. We
can see the beginnings of evidence based practice in early papers by Jonathan
Eldredge (2000), Andrew Booth (2002), and Ellen Crumley and Denise
Koufogiannakis (2002). Having spent most of my career as a biomedical sciences
librarian, I’m happy that all of these are in journals covering medical
librarianship but, as Jonathan Eldredge pointed out in 2000, we were helping to
teach EBM (as evidenced by my class back in 1998), so it isn’t a stretch that
medical librarians should start thinking about evidence for their own work
around that time.
In 2006, EBLIP
was the first journal to focus on evidence based librarianship, with the object
of helping librarians make more informed decisions based on the best available
evidence. The Evidence Summaries are especially helpful for busy librarians,
saving time by providing a synopsis of the important points in a research
article, and covering a wide range of topics and journals.
In 2012, Denise Koufogiannakis wrote about the state
of LIS systematic reviews and announced the wiki she had created to gather
known systematic reviews in library and information studies. Looking over the
reviews in the LIS Systematic Review wiki (http://lis-systematic-reviews.wikispaces.com/Welcome) gives us an idea of the state of evidence based practice in library
and information studies. We can see that many of the systematic reviews are in
specific niche areas, not surprising considering the wide range of subjects
covered by LIS. As Marcia Bates (2015) pointed out, LIS covers all disciplines,
and includes many information sub-disciplines, so it is always going to be a
challenge to find commonalities that can be compared in a systematic review.
But overall, there aren’t that many systematic reviews, given that librarians
have been talking about evidence based practice for about 20 years.
The problem is the lack of data and research. As the
leader of one of the MLA Research Agenda systematic review projects (Eldridge,
Ascher, Holmes, & Harris, 2012), I know first-hand that finding appropriate
evidence to answer a question can be difficult.
Our question is: “Do health sciences libraries and
librarians have any measurable (statistically significant) positive impacts on
consumer health, the outcomes of medical care, the productivity of biomedical
researchers and the knowledge obtained by graduates of biomedical and health
sciences training programs, and at what total cost?” We presented a poster at
MLA 2015 (Henderson et al., 2015) and we still aren’t finished (team members
finding the time to work on a project outside their usual job duties can be a
problem with some collaborative projects). Even though we started with a set of
over 4000 articles, we ended up with just over 100 that fit all criteria, and
even fewer had actual data. And when there was data, the papers covered very
dissimilar measures, so there was no way to combine results to bring together a
more robust result, as noted by Wagner and Byrd (2004) in a systematic review
of clinical medical librarian effectiveness.
The bottom line: we need to do more LIS research that
results in data!
So, when I was planning a survey on the research data
needs of Virginia Commonwealth University (VCU) faculty earlier this year, I
pulled questions from other papers to allow me to do some comparisons. This is
a step towards being able to compare results and pull together a large body of
evidence. The following are a few of the questions I asked, and the responses I
received, compared with one of the papers I used as inspiration.
The results on data formats faculty are collecting
compared to those at Northwestern, in a 2015 report of a survey by Cunera Buys
and Pamela Shaw are shown in Figures 1 and 2.
I can compare most of the reasons for not
sharing data with the responses to a 2015 study by Federer, Lu, Joubert, Welsh,
and Brandys at the NIH Library (2015). (Tables 1 and 2)
Responses on how much data is being
stored, and where it is being stored, can be compared with results from
Katherine Akers and Jennifer Doty at Emory in 2013 (Table 3, Figures 3 and 4):
Figure 1
Faculty data
formats from VCU survey.
Figure 2
Type/format
of data from Northwestern study (Buys and Shaw, 2015).
Table 1
Reasons for
Not Sharing Data, from VCU Faculty Survey
Privacy or
protection of subjects |
148 |
Data
require secure/restricted access |
94 |
Data might
be misinterpreted/misused |
71 |
To protect
my intellectual property rights |
71 |
Might not
get credit (e.g., citation, acknowledgment, authorship) |
59 |
Requires
too much time/effort |
50 |
Not
licensed to share data |
47 |
Data of
little value to others |
26 |
I don't
know where to share it |
25 |
Commercialization/patent
concerns |
25 |
No
repository exists for my type of data |
21 |
Other |
5 |
Table 2
Reasons for
Not Sharing Data from NIH Study (Federer et al., 2015)
Table 3
Current Data
Storage Amounts by Faculty at VCU
Approximately
how much digital research data are you currently storing? (Choose one) |
|||
|
Frequency |
Percent |
|
Valid |
Megabyte
range |
40 |
16.9 |
Gigabyte
range |
72 |
30.5 |
|
Terabyte
range |
43 |
18.2 |
|
Don’t know |
76 |
32.2 |
|
Total |
231 |
97.9 |
|
Total |
236 |
100.0 |
Figure 3
Current data
storage locations of VCU faculty.
Figure 4
Digital
research data storage amounts and locations from Emory survey (Akers &
Doty, 2013).
But it isn’t
enough to just look for other studies and make comparisons; we need to be more
intentional about what we are doing.
We need to
collaborate from the start to plan research that is applicable to multiple
libraries, such as a recent study looking at the evolving needs of researchers
in information and data management (Cain, Cheek, Kupsco, Hartel, &
Getselman, 2016). The authors hope to develop new information service models
that can be used by others, based on surveys conducted at two
research-intensive universities. Marshall, et al. (2013), conducted a large,
multi-site study to learn about the impact of medical libraries on patient
care. This large collaboration included physicians, residents, and nurses at
118 hospitals, making the results more generally applicable than a single site
study.
We need to
make sure that, where possible, we change our promotion and tenure requirements
to include credit for open and shared resources. And we make sure that we
include time for research in our work plans.
We need to
relate our research to assessment measures so it can be a bigger part of the
job we do. Librarians often shy away from research because there isn’t enough
time (Fox, 2007), so building research into the assessment we should already be
doing is a good way to get started.
We need to
relate our research to the research interests of faculty outside of the
library, especially with the current focus on interdisciplinary research. Our
research will be more useful if it can inform decisions outside of the library,
and have impact throughout our institutions. There are issues about student
success or researcher support that are common everywhere and we should do the
work together. Yesterday, I quickly tweeted a question about who worked with
faculty outside of the library, and on what, just to give you a few
examples:
And to make
sure we can publish and share any insights we have from surveys or
questionnaires we use, we should always get IRB/ethics board approval before
starting our research.
We need to
make our articles, research instruments, and data open so research can be
replicated using the same survey instruments or methods, and so that data can
be combined to create a more robust evidence base. The ACRL Value of Academic
Libraries Bibliography (http://acrl.ala.org/valueography /) allows sharing of research in a
blog post, but there is no good way to find a listing of all the studies
submitted and no way to share data. I recommend setting up an OSF (https://osf.io) project or depositing materials in
the new SocArXiv Preprints (https://osf.io/preprints/socarxiv). Librarians are pushing for open
access; some researchers are pushing for open science. Wouldn’t it strengthen
our position to have our research out there where it can be scrutinized?
The reasons
we give to researchers in other areas for sharing are the same for us. Sharing
research methods and results:
And we can
use the same repositories to make our data available.
I have been
a librarian for 30 years now, and I’ve seen many changes, but I’m still
enthusiastic about the profession and see a wonderful future for us. I hope you
will see the value in LIS research and feel enthusiastic for our future as
well.
References
Akers, K. G., & Doty, J. (2013).
Disciplinary differences in faculty research data management practices and
perspectives. International Journal of
Digital Curation, 8(2), 5-26. http://dx.doi.org/10.2218/ijdc.v8i2.263
Barends, E., Rousseau, D.M., &
Briner, R.B. (2014) Evidence-Based Management: The Basic Principles. Amsterdam:
Center for Evidence-Based Management. Retrieved from https://www.cebma.org/wp-content/uploads/Evidence-Based-Practice-The-Basic-Principles-vs-Dec-2015.pdf
Bates, M.J. (2015). The information
professions: Knowledge, memory, heritage. IR
Information Research, 20(1).
Retrieved from http://InformationR.net/ir/20-1/paper655.html
Booth, A. (2002). From EBM to EBL:
Two steps forward or one step back? Medical
Reference Services Quarterly, 21(3),
51-64. http://dx.doi.org/10.1300/J115v21n03_04
Buys, C. M., & Shaw, P. L.
(2015). Data management practices across an institution: Survey and report. Journal of Librarianship and Scholarly
Communication, 3(2). http://dx.doi.org/10.7710/2162-3309.1225
Cain, T. J., Cheek, F. M., Kupsco,
J., Hartel, L. J., & Getselman, A. (2016). Health sciences libraries
forecasting information service trends for researchers: Models applicable to
all academic libraries. College &
Research Libraries, 77(5),
595-613. http://dx.doi.org/10.5860/crl.77.5.595
Claridge, J.A. & Fabian T.C.
(2005). History and development of evidence-based medicine. World Journal of Surgery, 29(5), 547-553. http://dx.doi.org/10.1007/s00268-005-7910-1
Crumley, E. and Koufogiannakis, D.
(2002), Developing evidence-based librarianship: Practical steps for implementation.
Health Information & Libraries
Journal, 19(2), 61–70. http://dx.doi.org/10.1046/j.1471-1842.2002.00372.x
Eldredge, J. D. (2000).
Evidence-based librarianship: An overview. Bulletin
of the Medical Library Association, 88(4),
289-302.
Eldredge, J. D., Ascher, M. T.,
Holmes, H. N., & Harris, M. R. (2012). The new Medical Library Association
research agenda: Final results from a three-phase delphi study. Journal of the Medical Library Association:
JMLA, 100(3), 214-218. http://dx.doi.org/10.3163/1536-5050.100.3.012
Federer, L. M., Lu, Y.-L., Joubert,
D. J., Welsh, J., & Brandys, B. (2015). Biomedical data sharing and reuse:
Attitudes and practices of clinical and scientific research staff. PloS One, 10(6), e0129506. http://dx.doi.org/10.1371/journal.pone.0129506
Fox, D. (2007). Finding time for
scholarship: A survey of Canadian research university librarians. Portal: Libraries and the Academy, 7(4):451–462. http://dx.doi.org/10.1353/pla.2007.0041
Henderson, M. E., Crum, J. A.,
Fatkin, K. J., Gagnon, M.-M., Nguyen, T., Taylor, M., & Vrabel, M. (2015). Do health sciences libraries and librarians
have an impact on the cost of health care and research? A systematic review.
Annual Meeting, Medical Library Association, Austin, TX, USA. Retrieved from http://scholarscompass.vcu.edu/libraries_present/43/
Killian, S. (2013). Top 10 evidence based
teaching strategies. In The Australian
Society for Evidence Based Teaching. Retrieved from http://www.evidencebasedteaching.org.au/evidence-based-teaching-strategies/
Koufogiannakis, D. (2012). The state
of systematic reviews in library and information studies. Evidence Based Library and Information Practice, 7(2), 91-95. http://dx.doi.org/10.18438/B8Q021
Laura and John Arnold Foundation
(n.d.) Evidence-based decision
making. Retrieved from http://www.arnoldfoundation.org/initiative/evidence-based-policy-innovation/evidence-based-decision-making/
Marshall, J. G., Sollenberger, J.,
Easterby-Gannett, S., Morgan, L. K., Klem, M. L., Cavanaugh, S. K., Oliver,
K.B., Thompson, C.A., Romanosky, N., & Hunter, S. (2013). The value of
library and information services in patient care: Results of a multisite study.
Journal of the Medical Library
Association: JMLA, 101(1), 38-46.
http://dx.doi.org/10.3163/1536-5050.101.1.007
McDonald, L. (2001). Florence
Nightingale and the early origins of evidence-based nursing. Evidence Based Nursing, 4(3), 68-69. http://dx.doi.org/10.1136/ebn.4.3.68
Medical and Scientific Libraries of
Long Island (n.d.). MEDLI’s history: programs. Retrieved from https://medli.org/about/history/programs/
Nerdy Baby (2017). Every baby knows
the scientific method. Retrieved from http://www.nerdybaby.com/every-baby-knows-the-scientific-method-mini-poster-11x17/
Piwowar, H.A., Day, R.S., &
Fridsma, D.B. (2007). Sharing detailed research data is associated with
increased citation rate. PLOS ONE, 2(3): e308. http://dx.doi.org/doi:10.1371/journal.pone.0000308
Turner, M.A. (2014). Job market and
labor force. In Urban Institute. Retrieved
from http://www.urban.org/urban-wire/bipartisan-call-better-evidence-inform-policy
University of North Carolina Health
Sciences Library (2016). Surgical residents: EBM review and practice. Retrieved
from http://guides.lib.unc.edu/c.php?g=204277&p=1347834#s-lg-box-4079097
Wagner,
K. C., & Byrd, G. D. (2004). Evaluating the effectiveness of clinical
medical librarian programs: a systematic review of the literature. Journal of the Medical Library Association,
92(1), 14–33.
Weill Cornell Medical College
Medical Library (n.d.). Evidence-based medicine. Retrieved from http://med.cornell.libguides.com/ebm
Whitemyer, D. (2010). The future of
evidence-based design. In International
Interior Design Association. Retrieved from http://www.iida.org/content.cfm/the-future-of-evidence-based-design
Wikimedia Commons (2016). Research
design and evidence.svg. Retrieved from https://commons.wikimedia.org/wiki/File:Research_design_and_evidence.svg
Wikipedia (n.d.). "John
Snow". Retrieved from https://en.wikipedia.org/w/index.php?title=John_Snow&oldid=759493613