Research Data Management Services, SPEC Kit 334 (July 2013)

Fearon, David Jr.; Gunia, Betsy; Lake, Sherry; Pralle, Barbara E.; Sallans, Andrew L.

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SPEC Kit 334: Research Data Management Services · 21
questions, but that did not eliminate problems with
respondents misinterpreting concepts and definitions.
Several of the metrics of service, such as the extent of
data management plan assistance and archive use,
were particularly difficult to define and ask in ways
that yielded precise responses. We recommend that
further studies involve case studies, and focus on
particular topics such as archiving or staffing, since
we presented our respondents with a particularly
long and complicated survey. We greatly appreciate
their efforts to complete our survey, and hope these
results will be a useful benchmark and basis for in-
spiration in this new and expanding field of research
library service.
Acknowledgements
We would like to sincerely thank the following indi-
viduals and groups for reviewing our survey instru-
ment: Andrea Denton, Mike Furlough, Brian Gunia,
Patricia Hwse, David Lowe, Karl Nilsen, Susan Payne,
Lizzy Rolando, Jennifer Ward, Jonathan Wheeler,
Lynda White, Stephanie Wright, the Canada Institute
for Scientific and Technical Information (CISTI), and
the E-Research Working Group. We would also like to
thank the authors of the e-science report for providing
helpful background and context for the report and for
advising us what we ought to consider including in
the RDM services survey. Tim Dilauro, Johns Hopkins
University, provided his perspective and expertise in
developing the survey instrument. Finally, we’d like
to thank Wendy Mann of George Mason University
for arranging a space at the Fenwick Library for the
University of Virginia and Johns Hopkins University
authors to hold in-person meetings.
Endnotes
1 For a sample see the references in the Selected
Resources section of this SPEC Kit.
2 http://www.arl.org/storage/documents/
publications/escience-report-2010.pdf
3 See heading “Key Papers in the Development of
RDMS” in the Selected Resources section of this
SPEC Kit.
4 http://www.arl.org/
focus-areas/e-research/e-science-institute
5 See White House Office of Science and Technology
Policy (OSTP) Feb. 22, 2013 memorandum on open
access to funded research data and publications.
6 Dataverse is in relatively widespread use
as a repository for specific disciplines and
research centers, but only one library reported
being directly involved with a Dataverse
implementation.
7 Attendance at an E-Science Institute workshop
noted earlier in responses to Question 3 was
another influential training resources for many
respondents.

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SPEC Kit 334: Research Data Management Services (July 2013) resources

SPEC Kit 334: Research Data Management Services · 23
SURVEY QUESTIONS AND RESPONSES
The SPEC Survey on Research Data Management Services was designed by Barbara E. Pralle, Head,
Entrepreneurial Library Program and Interim Manager JHU Data Management Services, David Fearon
and Betsy Gunia, Data Management Consultants, at the Johns Hopkins University Sheridan Libraries and
Andrew L. Sallans, Head of Strategic Data Initiatives, and Sherry Lake, Senior Scientific Data Consultant, at
the University of Virginia Library. These results are based on data submitted by 73 of the 125 ARL member
libraries (58%) by the deadline of May 6, 2013. The survey’s introductory text and questions are reproduced
below, followed by the response data and selected comments from the respondents.
This study surveys ARL member libraries on their activities related to access, management, and archiving of research data at their
institutions. This introduction will help identify who should respond to the survey questions, and we encourage involving others at
your institution to assist in filling out this survey.
Over the last decade, most research libraries have provided some degree of support services for research data access and use. Over
the last few years, many found they needed to extend and unify services around more aspects of data acquisition, management,
dissemination, and preservation. The steady increase in e-Science—digitally mediated research with large datasets and networked
collaborative use—is one reason researchers look to their libraries for help with organizing, sharing, and archiving data.
The survey’s purpose is to assess the current landscape of how libraries, in relation to their parent institutions, are providing research
data management services to their community. It will not only provide benchmarks for trends, but will also help libraries gauge their
level of service for further development, and discover and share new models of service. The survey explores the organization of
research data management services (including a few questions on broader data support services), how they are staffed and funded,
and what services they offer and to whom, among other questions.
This survey expands the 2009 ARL E-Science Task Force survey on E-Science and Data Support Services, updating recent
developments and adding scope and detail for services addressed in the 2009 survey. You may have received similar surveys. This
one is intended to go more deeply into the details of RDM services, as a benchmark survey of ARL member institutions.
Research Data Management Services support the management and curation of research data throughout its life cycle. RDM includes
services such as: data management plan consulting, data documentation/metadata, data organization, data security and backup,
data citation, funder requirements, ethical and legal issues, preserving digital data, sharing data and archiving data. For this survey,
services are for research data, not institutional data such as departmental records keeping or government archives. It can include
research data in the sciences, social sciences, and humanities.
NOTE: Respondents whose libraries are providing data management consulting, and/or operating data archives or institutional
archives that host data, will answer the majority of the questions. In some cases, this survey may take more than one hour to
complete. We thank you in advance for taking the extra time required for these questions, which will be an important benchmark for
mapping the development of research data services in research libraries.

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Page 9Survey Results click to expand contents

Page 107Representative Documents click to expand contents

Page 109RDM Web Pages click to expand contents

Page 113IRs and Data Archives click to expand contents

Page 123Data Management Plan Tools click to expand contents

Page 135Job Descriptions click to expand contents

Page 155Organization Charts click to expand contents

Page 161Research Data Policies click to expand contents

Page 173Data Retention Policies click to expand contents

Page 187Data Needs Assessment click to expand contents

Page 205RDM Staff Resources click to expand contents

Page 209Outreach Materials click to expand contents

Page 213Selected Resources click to expand contents

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