Research Data
Management
Jeff Moon
Data Librarian &
Academic Director, Queen’s Research Data Centre
Research
Data Management
Ethics
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Research Data Management
Data management: encompasses
the entire data life cycle, including
data collection, organization,
storage, retrieval, and preservation
over time.
The Data Life Cycle
Source: http://www.ucl.ac.uk/ich/research-ich/mrc-cech/images/data/life-cycle/research-data-life-cycle.jpg?hires
What is ‘Research Data”?
That which is
collected, observed,
or created in a digital
form, for purposes
of analysing to
produce original
research results.
http://www.ed.ac.uk/schools-departments/information-services/services/research-support/data-library/data-repository/definitions
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Numeric
Video
Images
Sound
Text
& more…
Why manage &
share your data?
• Promotes higher quality research and peer review
• Opens the door to further research
• Demonstrates effective stewardship of publiclyfunded data
• Ensures long-term preservation of and access to data
• Builds in procedures to ensure anonymity/privacy
Other factors to consider…
• Some scientific publications require that data be available
for the scientific community before the article is
published
• A growing number of funding agencies require that data
be deposited in a public archive
Funding Agency Policies
The three funding agencies have “a fundamental
interest in ensuring that the results of publiclyfunded research are broadly disseminated,
enabling other researchers as well as policymakers, private sector, not-for-profit
organizations, and the public to use and build on
this knowledge”
And, for example, current CIHR policy
requires data preservation
CIHR
“Grantees must deposit bioinformatics, atomic and molecular coordinate
data into the appropriate public database immediately upon publication
of research results (e.g., deposition of nucleic acid sequences into
GenBank). Refer to the Annex of this policy for examples of research
outputs and the corresponding publicly accessible repository or
database.
Data retention, as already required by the majority of institutions, is
mandated by CIHR. Grantees must retain original data sets
arising from CIHR-funded research for a minimum of five years
after the end of the grant. This applies to all data, whether published
or not. The grantee's institution and Research Ethics Board may have
additional policies and practices regarding the preservation, retention
and protection of research data that must be respected.”
http://www.nserc-crsng.gc.ca/Professors-Professeurs/FinancialAdminGuide-GuideAdminFinancier/Responsibilities-Responsabilites_eng.asp#archiving
Other factors to consider…
• Some scientific publications require that data be available
for the scientific community before the article is
published
• A growing number of funding agencies require that data
be deposited in a public archive
• Future researchers can go to the ‘archive’ for your data…
rather than trying to find you
Queen’s University Library
Research Data Management Service
Don’t underestimate the benefits of
making your data ‘discoverable’…
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Before RDM: Have you experienced this?
Researcher-to-researcher
Could you
please
send me
your data?
Could you
please
send me
your data?
Could you
please
send me
your data?
Researcher
Could you
please
send me
your data?
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Could you
please
send me
your data?
Could you
please
send me
your data?
Could you
please send
me your data?
Could you
please
send me
your data?
After RDM: link to archive!
Researcher-to-Archive
Researcher
License to
share data
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Accessing Research Data: After RDM
Researcher-to-Archive
Researcher
DOI
Digital Object Identifier
… a web link
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DOI
OK, but where do I turn?
There are many resources related to
research data management
Queen’s University Library has pulled selected
resources together into a guide…
Research Data Management
http://guides.library.queensu.ca/rdm
Topics covered…
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Overview
Writing a Data Management Plan
Funding Agency Guidelines
Metadata
Data Repositories & Archives
Citing Data
Best Practices in Data Management
Library as Data Partner
QUL Research Data Archive
Data Management Workflow
Queen’s University Library
Research Data Management Service
We can help you with:
• Planning for data management
data management plans & grant applications
Queen’s University Library
Data Management Plans
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Data Description – nature, scope, scale
Responsibility – shared PI and RDM service
Designated Archive – finding an appropriate archive
Access & Sharing – Public? Restricted? Embargoed?
Selection & Retention – collection development decisions
Metadata – standards-compliant description of the data
Intellectual Property Rights – PI’s and institutions hold Copyright
Ethics & Privacy – Informed consent & disclosure risk
Format – promote recommended formats – ‘platform-agnostic’
Archiving & Preservation – forward migration of data
Storage & Backup – multiple copies in distributed locations
Credit:
Derived from ICPSR Sample Data Management Plan: http://www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/plan.html
Queen’s University Library
Research Data Management Service
We can help you with:
• Planning for data management
data management plans & grant applications
• Preparing your data
coding, formatting, anonymizing, and more
• Documenting your data
describing your data so others can understand and use it
• Archiving your data
finding an appropriate repository or archive
• Making your data discoverable
promoting open access, indexing, assigning DOI’s
Examples of archived data
http://guides.library.queensu.ca/rdm  QUL Research Data Archive
Examples of archived data
http://guides.library.queensu.ca/rdm  QUL Research Data Archive
Examples of archived data
http://guides.library.queensu.ca/rdm  QUL Research Data Archive
Examples of archived data
http://guides.library.queensu.ca/rdm  QUL Research Data Archive
Archives/Repositories
Queen’s
Institutional
Repository
(DSpace software)
Scholars Portal
Data Archiving Tool
(Harvard Dataverse software)
Scholars Portal Data
Discovery/Exploration
Portal
(Nesstar software)
Or other discipline-based repository…
Beyond Queen’s –
Discipline-specific Data Repositories
Full list at NIH
Beyond Queen’s –
Discipline-specific Data Repositories
Full list at CIHR
Canada-wide Initiatives
National
research data
management
(RDM)
network
collaboration
_______________
PORTAGE
National collaboration between the Canadian Association of
Research Libraries (CARL) and Compute Canada. Two major
goals:
1. To create centres of RDM excellence across the country
2. To develop and support a national network of data
management, leveraging repositories across the country
and around the world.
Recap: Benefits of Research Data Management:
• ensure long-term preservation of
data for future researchers
• meet grant requirements and/or
produce a more competitive grant
application
• increase the impact and visibility of
your research
• encourage discovery and use of
existing data to explore new
research questions
• make sure your data are accurate,
complete, authentic, and reliable,
and reusable
• ensure compliance with ethics and
privacy policies
http://www.computerworld.in/sites/default/files/how-to/2012/07/Manage-data.jpg
If you have, or will be collecting data,
CONTACT US.
We can help you develop and
implement your data management
plan.
Contact information
Jeff Moon –
Francine Berish–
Alex Cooper –
Data Librarian &
Academic Director, Queen’s Research Data Centre
moonj@queensu.ca
Ext. 77992
Geospatial Data Librarian
francine.berish@queensu.ca
Ext. 36952
Data and Web Support Assistant
coopera@queensu.ca
Ext. 77481