A poster presentation from the Medical Library Association 2017 Annual Meeting by Lynne Frederickson, Marisa Conte, and Amy Neeser.

1. Implementing an Institutional Repository for Sharing,
Archiving, and Accessing Research Data
Lynne Frederickson, MA, Informationist, Taubman Health Sciences Library; Marisa Conte, MLIS, Assistant Director, Research and
Informatics, Taubman Health Sciences Library; Amy Neeser, MLIS, Research Data Curation Librarian, University of Michigan Library
Example Deposit
Although Deep Blue Data is designed for self-deposits, deposits can
involve collaboration across the library, and can include metadata
librarians, preservation librarians, subject liaisons, and library IT.
Oftentimes these high-touch deposits drive the development of new
features.
In the example below, Taubman Bionformationist Marci Brandenburg
partnered with Research Data Curation Librarian Amy Neeser to guide the
researchers to make changes to data and metadata. This dataset is in
support of a paper published in The Journal of Cell Biology, which requires
that supporting datasets be deposited in a public database.
Background
Open access to research data is
increasingly important to biomedical
researchers. Funding agencies and
publishers are implementing data sharing
mandates, and researchers are recognizing
that sharing data can increase the impact
of their research and reusing data can
advance their own science. To promote
open data, the University of Michigan
Library developed and launched an
institutional research data repository,
Deep Blue Data.
Project Goals
• Provide a means to publish data
through a protected and secure
repository
• Make research data more findable to
other scholars
• Enable compliance with funding agency
and journal requirements to share and
archive data sets
• Facilitate citation and correct
attribution by assigning a Digital Object
Identifier (DOI) upon deposit
• Preserve data for future use
• House data from all disciplines, and in
all data formats
• Make these services freely available to
all faculty and research staff
• Provide local assistance regarding data
preparation and submission
Current Inventory*
66 Deposits
*per 05/11/2017
Deposit-driven Development
Features are added to Deep Blue Data
on an ongoing basis, in direct response
to researcher needs. Examples include:
• Granting Agency Information: the
ability to add grant number and
funding agency to demonstrate
compliance
• Citation to Related Material: the
ability to link the dataset to
documents in other repositories
• Mint DOI: the ability to assign a DOI
upon deposit
• Draft Mode: the ability to save a
deposit and make changes prior to
publication
Benefits for Research
• Data Sharing: a secure means to
make research data visible to other
scholars
• Grant Compliance: allows
researchers to demonstrate
compliance with funding agency
requirements
• Citability: deposits are assigned
DOIs, making it easy to properly cite
data
• Preservation: MLibrary is committed
to preserving data deposited in Deep
Blue Data
https://deepblue.lib.umich.edu/data
Challenges
• Size: browsers limit upload and download capability
• Multidisciplinary: one-size-fits-all makes meeting specific disciplinary
needs difficult
• No PHI: protected health information cannot be stored in open access
repositories
Future Development
• Big Data: increased capacity for end-
users to upload and download large
data sets
• Collaboration: to support team
review, editing, and transfer of
ownership
• Embargo: users can specify when
data will be publicly available, to
satisfy publisher requirements
20
16
14
13
3
Health Science
Science
Engineering
Social Science
Other