Evidence Summary
Researchers May Need Additional Data Curation Support
A Review of:
Johnston, L. R., Carlson, J., Hudson-Vitale, C., Imker, H., Kozlowski,
W., Olendorf, R., & Stewart, C. (2018). How important are data curation
activities to researchers? Gaps and opportunities for academic libraries. Journal of Librarianship and Scholarly Communication,
6(1), 1-24. https://doi.org/10.7710/2162-3309.2198
Reviewed by:
Robin E. Miller
Associate Professor and Research & Instruction
Librarian
McIntyre Library
University of Wisconsin-Eau Claire
Eau Claire, Wisconsin, United States of America
Email: millerob@uwec.edu
Received: 3 Dec. 2018 Accepted: 18 Feb.
2019
2019 Miller.
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/eblip29539
Abstract
Objective – To
identify the data curation activities most valued by researchers at
universities.
Design –
Focus group and survey instrument.
Setting –
Six R1: Doctoral Universities in the United States of America that are part of
a Data Curation Network (DCN) project to design a shared data curation service.
Subjects – 91
researchers, librarians, and support staff.
Methods –
The authors used focus group methodology to collect data about valued data
curation activities, current practices, and satisfaction with existing services
or activities. Six focus groups were conducted at participants’ places of
employment. Participants reviewed a list of 35 possible data curation
activities, including documentation, data visualization, and rights management.
A card-swapping exercise enabled subjects to rank the most important issues on
a scale of 1-5, with “most important” activities becoming the subject of a
facilitated discussion. In a short paper-based survey, participants also noted
whether a data curation practice is in place at their institution, and their
satisfaction with the practice.
Main Results –
Twelve data curation activities were identified as “highly rated” services that
academic institutions could focus on providing to researchers. Documentation,
Secure Storage, Quality Assurance, and Persistent Identifier were the data
curation activities that the majority of participants rated as “most
important.” Participants identified the data curation practices in place at
their institutions, including documentation (80%), secure storage (75%), chain
of custody (64%), metadata (63%), file inventory or manifest (58%), data
visualization (58%), versioning (56%), file format transformations (55%), and
quality assurance (52%). Participants reported low levels of satisfaction with
their institutions’ data curation activities.
Conclusion –
Academic libraries have an opportunity to develop or improve existing data
curation services by focusing on the twelve data curation activities that
researchers, staff, and librarians value but that could be implemented in a
more satisfactory way. The authors conclude that their organization, the Data
Curation Network, has an opportunity to improve data curation services or to
offer new or expanded services.
Commentary
The
strength of this research is in the methods employed to gather data from
employees of the nine Data Curation Network member institutions. While focus
groups can often be conducted with a rigid set of questions, in this study each
focus group’s facilitator used rating and card-swapping to direct the inquiry
to the primary interests of the participants at each institution. Quantitative
data collected aided in the interpretation of verbal comments about the
challenges and barriers to curating data. Card-swapping exercises demonstrated
that the participants valued 12 data curation practices in particular. A
subsequent questionnaire about data curation efforts actually in practice
revealed that most participants were relatively unsatisfied with institutional practices,
even among data curation services they valued. For example, “documentation” was
rated as “most important” and 80% of participants indicated this is in place at
their institutions. However, only 46.2% of participants were “somewhat”
satisfied, and 9.9% were not satisfied with documentation of data curation
processes. “Secure storage” received the highest satisfaction ratings among
participants, with 38.3% expressing satisfaction, although 40% of participants
responded “N/A.”
The
authors identify self-selection as a limitation of their research. In light of
the study’s specialized topic, another view is that participant knowledge and
experience enhanced the focus group’s outcomes. Additional granularity in
reporting participant views would improve the results. For example, the authors
do not indicate whether the data show differences of opinion between the
researchers, librarians, and staff who participated in the study. Researchers,
particularly those who require data curation services in order to fulfill
contractual obligations, may have different expectations for the outcome of
data curation activities at their institutions than the support staff or
librarians developing data curation services.
Most
of the study’s participants agreed on a set of highly valued data curation
activities, which may form the basis of any academic library’s data curation
program. While the authors do not directly suggest that the study’s results are
generalizable, the title of the article implies that “academic libraries” have
opportunities to invest in, develop, and market data curation services.
However, the authors repeatedly use the phrase “research libraries,” implying
that the results of this research are more likely directed to practitioners at
large research universities, if not exclusively at DCN member institutions.
The
article does not indicate that the researchers coded the qualitative data
collected during the six focus groups. “Case studies” of two of the six focus
groups are presented, highlighting problems with the data curation process,
like limited time, de-identification of sensitive data, and a desire for
standardized data curation practices. The authors also point out that the
literature about data curation raises themes similar to those that emerged
during facilitated focus group discussions, including limited time and
staffing, and pointing to a need for greater support in the form of
documentation, templates, and standards. Coding the qualitative data collected
during focus group discussions would improve the authors’ communication about
the prevalence and frequency of the issues raised by participants in this
study.
While
the results of the study cannot be generalized to all universities or
libraries, library practitioners building a data curation service may find that
this research serves as a reference point for the data curation services that
researchers value or need.